- Open Access
Insertion torque recordings for the diagnosis of contact between orthodontic mini-implants and dental roots: a systematic review
Systematic Reviews volume 5, Article number: 50 (2016)
Most orthodontic mini-implants (OMIs) are inserted between dental roots. The prevalence of contacting these structures is high. Such contacts can cause permanent root damage and implant instability. Increased torque levels during implant insertion (the index test) could be a more accurate and immediate measure for diagnosing implant-root contact (the target condition) than radiographs (the reference standard) and could ultimately lead to a reduction or elimination of X-ray exposure. To address this issue, we asked three questions: (1) whether OMIs with root contact had higher insertion torque values than those without, (2) what is the accuracy of the index test compared with the reference standard to diagnose the target condition and what are the adverse effects of the index test, and (3) whether intermediate torque values have clinical diagnostic utility.
Methods were conducted according to our published protocol, which was based on the PRISMA-P 2015 statement. We applied broad spectrum eligibility criteria that included randomized and non-randomized studies on clinical, animal, and cadaver models. Not including such models would be unethical because it could slow down knowledge creation on the adverse effects of implant insertion. We conducted searches in more than 40 electronic databases including MEDLINE and 10 journals were hand-searched. Grey literature and reference lists were also searched. All research procedures were conducted independently by three reviewers. Authors of selected studies were contacted to obtain additional information. Outcomes on the three different research models were analysed separately. Systematic error was assessed with the Cochrane ‘Risk of bias tool’ for non-randomized studies.
One clinical, two animal, and two cadaver studies fulfilled the eligibility criteria of the first research question. All studies and subgroups demonstrated higher insertion torque values for OMIs with the target condition than those without. Mean differences (MD) between these effect estimates were statistically significant in one beagle model (MD, 4.64; 95 % CI, 3.50 to 5.79) and three subgroups of cadaver studies (MD, 2.70; 95 % CI, 1.42 to 3.98) (MD, 3.97; 95 % CI, 2.17 to 5.78) (MD, 0.93; 95 % CI, 0.67 to 1.20). Highest mean differences were identified in most self-drilling compared with pre-drilling groups. Clinical heterogeneity between studies was high, and many items were underreported. All studies except one cadaver study scored at least one domain as ‘serious risk’ of bias. No studies addressed the second research question. One cadaver study addressed the third question which showed the importance of recording torque levels during the entire implant insertion process. Responses of contacted authors were helpful, but often difficult to obtain. Implants fractured in one animal and in one cadaver model.
All eligible studies scored higher insertion torque values for implants with root contact than those without, but none of these studies assessed the diagnostic accuracy of the index test. The inclusion of non-randomized and animal and cadaver models in this systematic review provided key findings that otherwise would have been wasted. Such studies are important in the context of the wide applicability of this test, the high prevalence of the target condition, and the underreporting of adverse effects of interventions. A protocol for a potential new diagnostic pathway was presented, and the importance of contacting authors was addressed. The applicability of the findings should be interpreted in the context of underreporting and the many limitations of the included studies.
Contact between orthodontic mini-implants (OMIs) and dental roots during the insertion process of these devices is a common problem because inter-radicular spaces are narrow [1–7]. Such contacts have been associated with root damage and increased implant failure rates [8–10].
An accurate test to diagnose implant-root contact is therefore indicated. To address this issue, we assessed whether OMIs with root contact (the target condition) had different insertion torque values compared with those without. Using specific insertion torque values (the index test) as a diagnostic test of the target condition could be more accurate and have less adverse effects compared with radiographic images (the current reference standard). A protocol for this review was published previously .
The target condition
Orthodontists need some form of anchorage to resist the reciprocal forces of orthodontic tooth movement. Intra- or extra-oral removable appliances or connecting groups of teeth within or between dental arches are generally used for this purpose. These treatment mechanics are effective, but they often (1) depend on patient cooperation, (2) cannot prevent some loss of anchorage, and (3) have a limited area of application . Most of these limitations do not apply to OMIs, but the placement of these devices requires a surgical intervention.
Implant-root contact is common during this insertion procedure because a minimum of 3 mm of inter-radicular distance has been recommended for safe implant insertion, and such dimensions are available in limited areas in both jaws (Fig. 1) [5, 7]. There is only a small margin for error because the most commonly used OMIs vary between 1.5 and 2 mm in diameter . Various studies have recorded a high prevalence of implant-root contact. Kau et al.  observed contact between implants and the periodontal ligament in 65.2 % of consecutively inserted OMIs. Kim et al.  scored 30 % implant-root contact, and another clinical study recorded the target condition for 21.3 % of implants that were inserted by inexperienced operators and 13.5 % for experienced operators . Motoyoshi et al.  recorded the target condition for 20.5 or 17.1 % for screws placed respectively with pre-drilling or self-drilling techniques. Almost identical findings were recorded by the same research group in other publications on this topic [3, 14]. Accurate positioning methods are available to reduce implant-root contact, but these techniques are complex, expensive, and require additional radiographs [4, 15–20].
Implant-root contact can cause extensive root damage . This condition could further deteriorate because implants do not always remain stationary and can migrate towards the roots during orthodontic tooth movement [22–24]. The quality of healing of root damage after implant removal varies, and a damaged dental pulp is less likely to repair completely [8, 21, 25]. These issues have also been reported for inter-maxillary fixation screws used in maxillofacial surgery [26–28]. Various studies have also associated close implant-root contact with increased failure rates [4, 10, 29–31]. A recent systematic review recorded three times higher failure rates for OMIs with root contact compared with implants placed away from dental roots .
The reference standard
Clinicians generally take two or three radiographs during the current diagnostic pathway of implant insertion (Fig. 2). The first image is used to measure the available inter-radicular distance prior to implant insertion. Additional X-rays are taken during and at the completion of implant insertion to diagnose potential implant-root contact. The final radiograph is currently the reference standard to assess the target condition. Exposure to X-rays is the main disadvantage of this test. Operators therefore tend to avoid the intermediate radiograph and only take one radiograph, i.e. at the completion of the insertion procedure when damage to the root has already occurred.
The index test
The index test of this systematic review does not have these shortcomings. This test measures torque values during the insertion of OMIs. Specific increased insertion torque values have been associated with implant-root contact [6, 25, 32, 33]. The American Society for Testing and Materials (ASTM International) defines insertion torque as follows: ‘the amount of torque required to overcome the frictional force between the screw and the material used for testing while driving the screw into the material’ .
The index test could be used as a ‘replacement’, a ‘triage’, or as an ‘add-on’ test . The index test could replace the reference standard when it is more accurate, faster, cheaper, and causes less adverse effects, e.g. reduction or elimination of X-rays. The index test could be a candidate as a triage test to reduce the use of radiographs, e.g. in young patients that have undergone radiotherapy for cancer treatment. It could also be indicated as an ‘add-on’ test to improve diagnostic accuracy. The index test could also be crucial in the decision-making process because continuous recording of the implant insertion process could reveal the specific time-point of implant-root contact, e.g. a sudden increase in insertion torque values . The clinician can then, for example, stop the insertion procedure, change the insertion path prior to complete implant insertion, and thereby prevent additional biologic damage and patient discomfort.
The index test does not (1) prolong the intervention, (2) require additional learning, or (3) introduce unexpected adverse effects because torque values are recorded during the standard insertion process with screwdrivers with built in torque sensors. Economic issues are also not expected because of the relatively low purchasing price and the shared use of the index test, i.e. insertion torque values are also measured to record primary stability of OMIs [10, 36].
Various issues on the importance of conducting the index test were addressed in the previous paragraphs. One can further reason that conducting this index test is particularly important in the context of the high prevalence of the target disorder and because most (90 %) OMIs are placed between dental roots [4, 6, 37]. Outcomes on the diagnostic accuracy of the index test can also have external validity to other specialties, e.g. maxillofacial surgery. In addition, no systematic reviews have addressed our research questions.
Three research questions were formulated to address the objectives of this systematic review [38, 39].
Research question 1
‘Do OMIs with root contact have higher insertion torque values than those without this target condition?’
Research question 2
‘In OMIs (participants or problem), what is the accuracy of the level of insertion torque values (index test) compared to radiography (reference standard) to distinguish those with and without implant-root contact (target condition)’. We also assessed the adverse effects of using this test.
Research question 3
‘Do intermediate recordings of insertion torque values have clinical utility for the diagnosis of the target condition’?
Prior to conducting this review, we developed and published a protocol of our research methods . This protocol was designed according to the guidelines for conducting systematic reviews of diagnostic accuracy of the Diagnostic Test Accuracy Working Group of the Cochrane Collaboration, the Cochrane Handbook for systematic reviews of interventions, and the preferred reporting items described in the PRISMA-P 2015 statement [40–43]. The methods, results, and discussion of this systematic review comply with the PRISMA 2009 Checklist and follow its order (Additional file 1) [44, 45].
Differences between protocol and review
We applied three key modifications to our protocol as were suggested by one of the peer reviewers of this systematic review.
we changed the order of the first two research questions to improve the flow of the article. This change needs to be considered when consulting the published protocol . The phrasing and the content of the original questions was not revised.
we applied the Cochrane ‘Risk of bias tool’ for non-randomized studies . The rationale for using this instrument was explained in the section ‘Risk of bias in individual studies’.
we only reported on methods that were ‘actually’ done. When methods were different from those planned in our protocol, we gave a brief justification.
To avoid inappropriate exclusion of relevant articles, we aimed for broad-scope inclusion criteria that were sufficiently specific and still covered our research objectives . We adapted these criteria to the particular character of our research questions because (1) for ethical reasons, we did not expect to find randomized controlled trials in which torque values were measured after deliberately inserting OMIs into dental roots and (2) non-randomized studies on humans in which torque values were recorded with or without root contact could be under-represented in the literature. For these reasons, we also included in vivo animal studies and cadaver models. The importance of including these experimental models is further addressed in the ‘Discussion’ section under the subheading ‘Strengths and weaknesses of the systematic review’.
A detailed description of the eligibility criteria was presented in our protocol . In addition, we excluded primary studies that met the eligibility criteria, but did not report on the outcomes of interest of this systematic review. This review is not registered in the PROSPERO database because this database only includes studies on human participants .
Information sources and search
Eligible studies were searched in the period from 1 January 1997, the year of the introduction of OMIs in orthodontics, until 19 June 2015 . The following electronic databases were searched:
General and subject-specific electronic databases were consulted from PubMed (MEDLINE), Google Scholar Beta, EMBASE (Ovid), Science Direct, and Cochrane Central Register of Controlled Trials (CENTRAL) [50–52].
Additional studies were searched through the ‘Related Articles’ feature in PubMed.
TRIP Database, NHS Evidence, and SUMSearch2 were also searched.
The following citation indexes were searched: Science Citation Index, Scopus, and Web of Science [50, 51].
The following national and regional databases were also searched: African Index Medicus, African Journals online (AJOL), Australasian Medical Index, Index Medicus for the Eastern Mediterranean Region, IndMED, KoreaMed, LILACS, Index Medicus for the South-East Asia Region (IMSEAR), and Western Pacific Region Index Medicus (WPRIM) [50, 51].
A librarian, (NR), specialized in computerized searches of health care publications assisted with the development of the search strategy. A detailed protocol for developing this search strategy has been presented previously in our published protocol . The full electronic search strategy for both PubMed and Google Scholar Beta was also given in this protocol. The search strategy for PubMed: (torque OR insertion torque OR torquing OR torqueing OR torque sensor* OR torque device* OR torquing device* OR torqueing device* OR torque screwdriver* OR torque driver*) AND (root* OR root contact* OR root vicinity OR dental root* OR root damage OR tooth OR teeth OR tooth contact* OR tooth vicinity) AND (implant* OR mini implant* OR micro implant* OR microimplant* OR screw* OR mini screw* OR miniscrew* OR micro screw* OR microscrew* OR temporary anchorage device*).
According to our protocol, we also consulted other resources, i.e. the grey literature, reference lists, and hand-searched key journals, and contacted pertinent stakeholders on our topic of interest .
Three topic experts (RMR, LL, and LR) independently selected the studies. In the case of disagreement on the eligibility of an article, reviewers reread and discussed the pertinent paper and, if necessary, contacted its authors . Study selection was summarized using a PRISMA flow diagram, and all excluded articles were presented in a table together with the rationale for their exclusion [44, 45]. A detailed description of our study selection procedures and our methods for contacting authors were described in our published protocol .
Data collection process and data items
The Standards for the Reporting of Diagnostic accuracy studies (STARD) checklist was consulted for the development of data extraction forms [53, 54]. Data collection forms of previous systematic reviews on OMIs were also checked for pertinent items [55–57]. All data collection forms were tailored to our specific research questions and subsequently pilot tested on a series of articles. These pilot tests were used to further fine-tune these forms and to calibrate the three reviewers (RMR, LL, and LR). Our data collection forms with a full description of the extracted data items, and all data extraction procedures were given in our protocol .
Outcomes and prioritization
Research question 1
The differences between maximum insertion torque values of implants with or without the target condition were calculated for the first research question. Outcome measures were recorded in the original format as defined by the authors of the selected studies. These measures were transformed to the effect estimate of this systematic review, i.e. Newton centimetre (Ncm), after the completion of all data extraction procedures . Differences in the type of target condition, e.g. with or without root penetration, and different time points and insertion depths for measuring these outcomes were subdivided in subgroups and assessed separately.
Research question 2
For the second research question, we conducted scoping searches of the literature to establish a threshold for test positivity. We identified one clinical and one animal study during these initial searches [6, 25]. Insertion torque values of OMIs with root contact in self-drilling groups increased respectively 22.5 % in human participants and 113 % in adult beagles compared with implants without this target condition [6, 25]. The former population consisted of a group of 79 (24 males and 55 females) adolescents and young adults that received a total of 143 OMIs in the same standardized location in the maxillary arch . All patients were treated in the same setting, i.e. a university dental hospital in Tokyo, Japan. Based on these findings, we defined a hypothetical maximum insertion torque increase of 25 % or more as a positive result of the index test and values inferior to this threshold as a negative outcome. Reference test positive referred to implant-root contact, which included both touching (glancing) of the root by the OMI as well as penetration of the root. We do not further refer to our ‘planned’ research question 2 in the ‘Methods’ section because none of the identified studies in this systematic review addressed this diagnostic accuracy question .
Research question 3
For the third research question, we assessed whether sudden steep increases in torque values were identified during the implant insertion process. Adverse effects of the interventional procedures were also recorded.
Risk of bias in individual studies
We used the Cochrane ‘Risk of bias tools’ for non-randomized studies (ACROBAT-NRSI) because our searches did not identify any randomized studies that addressed research questions 1 and 3 [46, 59]. The QUADAS-2 tool that was developed in our protocol  was also not applied because this instrument was specifically developed to assess risk of bias for research question 2 and no eligible studies addressed this question [60–62].
The mean insertion torque values with their standard deviation for OMIs with and without root contact were presented for each selected study. The mean differences between these recordings were calculated. These values were reported along with the 95 % confidence intervals. These effect measures were presented in a forest plot. Clinical and experimental studies were presented in separate figures. Statistical tests were carried out with Review Manager version 5.3 . All intervention groups of multi-arm studies were listed in the table “Characteristics of included studies”. Unit of analysis issues could arise according to the level at which randomization occurs or in studies with repeated recordings of insertion torque values . These issues were analysed for each specific study design, and our primary analysis was per randomized individual [43, 64].
We did not foresee the poor reporting of various research data, which made it necessary to calculate a series of statistics. We adopted post hoc methods to extract missing research data and formulas to calculate pertinent statistics [65, 66]. These methods and formulas are widely accepted and are consistently used for this purpose in systematic reviews and meta-analyses. We used specific software to extract data from graphs and plots in the eligible studies and applied two formulas to calculate unreported statistics [65, 66]. We used the formula presented by Hozo et al.  to estimate the mean from the median, the ranges, and the sample size (Fig. 3). We used another formula by Hozo et al.  to convert ranges to standard deviations (Fig. 4). All methods to calculate unreported statistics are further explained in detail in Additional file 2.
Synthesis of results
We presented and explained the characteristics and outcomes of the eligible studies in a narrative synthesis. This qualitative summary was conducted whether or not a quantitative data synthesis was considered appropriate. Characteristics of included studies were presented first and outcomes were subsequently listed according to the order of our research questions .
A meta-analysis would be conducted in the case of (1) low risk of bias in the selected studies, (2) consistent outcomes across the various studies, (3) low publication bias, (4) a high number of eligible studies, and (5) low heterogeneity [59, 64, 67]. Our planned methods for conducting meta-analyses were presented in our published protocol [63, 64, 67–76].
Risk of bias across studies
To assess the presence of reporting bias, we assessed whether protocols of trials were available and whether they were published prior to recruiting participants . The Clinical Trial Register at the International Clinical Trials Registry Platform of the World Health Organization was searched to identify such studies published after 1 July 2005 . We evaluated whether outcomes that were planned in the protocols were actually reported on in the published studies. Selective reporting of outcomes in all the eligible studies was also assessed as well as bias as a result of the outcomes of smaller studies. Outcomes with or without data obtained from contacted authors were also compared. Funnel plots were not conducted to explore reporting bias because only five studies were eligible [52, 78]. All procedures to assess meta-biases were conducted by three review authors (RMR, LL, and LR).
Heterogeneity and subgroup and sensitivity analyses
Sources of heterogeneity and methods to investigate heterogeneity were described in our published protocol . Heterogeneity between research models, i.e. clinical, animal, and cadaver studies, was not assessed because these models were analysed separately. Planned and unforeseen post hoc subgroup analyses and meta-regression were not undertaken to investigate statistical heterogeneity because the number of the included studies was small and additional divisions in subgroups were not possible . Planned sensitivity analyses were also not conducted because of the small number of eligible studies.
Confidence in cumulative estimate/assessment of the quality of evidence (GRADE)
Our first research question assessed whether OMIs with root contact had higher insertion torque values than those without this target condition. Because this question does not specifically address a health problem, it does not qualify for an assessment using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach [79–83].
Research question 1
The study selection procedures for our first research question were presented in a PRISMA flow diagram (Fig. 5) . The various search methods defined a total of 9603 abstracts with overlap. The total number of records retrieved for each data source and the search dates were presented in Additional file 3. The full texts of 34 articles were retrieved and were assessed for eligibility. Twenty-nine of these papers were subsequently excluded. The five eligible articles consisted of one human , two animal (dogs) [35, 84], and two cadaver (pigs) studies [32, 33]. One of these papers  was retrieved from the grey literature (Google Scholar B). The 29 excluded studies and the rationale for exclusion were presented in Additional file 4. Most studies were excluded because (1) insertion torque values were not recorded or because (2) insertion torque values were recorded, but an association with root vicinity was not assessed. All three reviewers were in complete agreement to exclude these studies.
Research question 2
No eligible studies were identified for the second research question.
Research question 3
Only one study  addressed the third research question.
The characteristics of the five eligible studies are summarized in Tables 1, 2, and 3. Additional data that were obtained through our procedures for ‘Contacting authors’ were not listed in these tables. An analysis of these methods and their outcomes are presented in the section ‘Contacting authors’. Table 1 presents the high heterogeneity in research models, the variation in treatment groups, and the underreporting of many items. Table 2 shows that four studies used digital torque tests and one study a mechanical index test. Time points for recording torque values varied widely between studies. Only one study measured insertion torque during the entire insertion path . Brisceno et al.  inserted implants at different time points in a split mouth research model. Heterogeneity was also high for the types of ‘implants’, ‘location’, and ‘drilling technique’. Wilmes et al.  placed their screws at an inter-implant distance of 4 mm. This dimension is much smaller than the minimum recommended inter-implant distance of 5 × the diameter of the implant (5 × 1.3 mm), according to the standard of ASTM International . Several studies used the pre-drilling technique [6, 33, 84]. Pre-drilling of pilot holes not only lowers the insertion torque values, but can also direct the implant into the root. Positivity test thresholds were not reported in any of the eligible studies. Table 3 shows that most studies used either two- or three-dimensional radiographs as the reference standard. Heterogeneous definitions of the target condition were reported between studies. The time points of conducting the reference standard also varied.
Risk of bias in individual studies
All eligible studies in this systematic review were classified as ‘non-randomized’ because they either did not use [6, 32, 33] or did not clearly report methods of randomization  or this procedure was conducted for other outcomes  than those selected for our research questions [51, 85, 86]. We therefore adopted A Cochrane Risk Of Bias Assessment Tool for Non-Randomized Studies of Interventions (ACROBAT-NRSI) . We applied this instrument to the original manuscripts of the five eligible studies.
The ACROBAT-NRSI scores for each of the seven domains of this tool were presented in Table 4.
This table showed that all studies except the one by McEwan  scored at least one domain as ‘serious’ risk of bias. To maintain transparency of our bias ratings, we listed the rationales for these scores for each domain of each eligible study in an additional file (Additional file 5). In this document, we also presented lists of ‘preliminary consideration of confounders and co-interventions’. The consequences of additional information obtained from contacted authors on these bias assessments were presented in the section ‘Contacting authors’.
Results of individual studies
Research question 1
The findings of the primary research studies are summarized in Table 5 and should be considered with the characteristics of the studies and the methodological quality in perspective. All eligible studies addressed our first research question, and a wide variation in insertion torque values between studies was recorded (Table 5). We contacted various authors to obtain additional research data to calculate pertinent statistics but were not always successful (see the section ‘Contacting authors’). We therefore used specific software to extract data from graphs and plots and applied two formulas to calculate unreported statistics (Additional file 2) [65, 66]. McEwan  did not list the standard deviations with the mean insertion torque values. WebPlotDigitizer was used to extract these measures from the insertion torque curves of each individual OMI . For the selected study by Wilmes et al. , we used the formula presented by Hozo et al.  to estimate the mean from the median, the ranges, and the sample size (Fig. 3). For the study by Brisceno et al. , we used another formula by Hozo et al.  to convert ranges to standard deviations (Fig. 4).
According to protocol, each experimental model, i.e. human, dog, and cadaver was presented separately in a forest plot and the ‘mean difference’ (MD) in insertion torque values between implants with and without root contact was calculated with RevMan 5.3  for each pre-established subgroup (Tables 6, 7, and 8). The high heterogeneity between studies explained the inconsistencies in effect sizes. Meta-analyses were not undertaken because of the serious heterogeneity and risk of bias issues. Unit of analysis issues (multiple implants per participant) could be a problem in the eligible studies [64, 87]. The impact of these issues could not be analysed in these studies because (1) the number of implants per participant was not reported [6, 32, 33] or (2) this statistic could not be calculated because the number of fractured implants or missing data per specific participant was not reported [25, 32] or (3) implant-root contact per specific participant was not reported [6, 25, 32, 33, 84]. None of the included studies made repeated recordings of insertion torque values. All studies and subgroups demonstrated higher insertion torque values for OMIs with the target condition than those without. These differences were not significant in any of the subgroups of the clinical study by Motoyoshi et al. , but sample sizes were small (Table 6). Significant mean differences in torque values were found in a study on beagle mandibles by Brisceno et al.  (MD, 4.64; 95 % CI, 3.50 to 5.79) and two cadaver subgroups by McEwan  (MD, 2.70; 95 % CI, 1.42 to 3.98) (MD, 3.97; 95 % CI, 2.17 to 5.78) and one cadaver subgroup by Wilmes et al.  (MD, 0.93; 95 % CI, 0.67 to 1.20). (Tables 7 and 8). Highest mean differences were found in the study by Brisceno et al. , which represented a 113 % increase in insertion torque values. Higher mean insertion torque differences were identified in the self-drilling groups compared with the pre-drilling groups in both the dog and cadaver models [25, 32, 33]. However, comparing these outcomes should be done with caution because of the heterogeneity between research models and study designs.
Research question 2
Test positivity thresholds and the respective number of tests positives and test negatives were not reported in any of the studies (Table 2). Diagnostic accuracy statistics for our second research question could therefore not be calculated.
Research question 3
McEwan was the only researcher that measured torque during the entire insertion process and was therefore able to address the third research question . This continuous recording provoked an ‘intermediate’ sudden increase of torque values at the moment of root contact and changed the more linear insertion graph to an upward angled curve. Differences in insertion graphics between implants with or without root contact were evident in this study . McEwan also reported that directly hitting the root with OMIs with the self-drilling technique was impossible because implants did not further advance after making root contact and insertion torque values subsequently decreased to a lower plateau . He excluded this subgroup from his statistical analysis. McEwan was the only author that reported this phenomenon.
Three eligible studies presented adverse effects. Brisceno et al.  recorded that 5 of 56 implants fractured as a result of excessive insertion torque. Implants were subsequently inserted at torque values <55 Ncm . Three Tomas pins fractured when contacting the root in McEwan’s study . Chen et al.  showed the deficiency of two-dimensional radiographs as a reference standard because histology was necessary to accurately diagnose the target condition in 32 of the 72 implants.
Risk of bias across studies
A protocol of any of the eligible studies was not identified in the literature or at The Clinical Trial Register at the International Clinical Trials Registry Platform of the World Health Organization [43, 77]. Exploring reporting bias with funnel plots was not indicated because of the small number of included studies [52, 78].
Quality of the evidence
The quality of evidence according to the GRADE approach was not assessed because our first research question did not qualify for such an assessment, and for our second question, no eligible studies were identified .
Emails were sent to authors to obtain additional research data. Exemplary emails were presented in Additional file 6. Numerous contacting attempts were necessary to obtain a final reply and answers were often unsatisfactory (Table 9). However, for one study, we were able to obtain essential data to calculate most of the necessary statistics . Without this information, this study would have been excluded from our review. Additional data from contacted authors were also important to reconsider or confirm risk of bias assessments (Table 9) [25, 32, 84]. Several risk of bias scores were either upgraded or downgraded as a result of our contacting procedures (Table 9). A detailed report of the outcomes and the difficulty of the contacting procedures were presented in Additional file 7.
Summary of main results
One clinical, two animal, and two cadaver studies were identified as eligible for our first research question. These studies reported the necessary data to calculate the statistics for this question. This same data set in combination with a test threshold for specific insertion torque values would have been sufficient to also answer our second research question, but none of these studies defined such a threshold. As a consequence test positives and negatives were not scored and important research information was wasted. No additional studies were identified that addressed our second research question.
Insertion torque values of implants with root contact were higher than those without in all five eligible studies. These differences were significant in one animal study  and in three cadaver subgroups [32, 33], but not in the clinical study by Motoyoshi et al.  (Tables 6, 7, and 8). However, the subsets of patients with the target condition in this latter study were small . Torque differences were higher in the self-drilling compared with the pre-drilling surgical technique in the animal and cadaver models. Measuring insertion torque during the entire insertion process could have clinical utility to get immediate information when the implant makes root contact, but this evidence came only from one cadaver study .
The validity of most of these outcomes should be carefully weighed because differences in research models, underreporting, and the methodological quality were all major issues in the selected articles (Table 4). Adverse effects referred to fractured implants and were only recorded in the self-drilling groups [25, 32]. Reporting of adverse effects was in general suboptimal.
Strengths and weaknesses of the systematic review
The strengths of this systematic review included: (1) it was first published as a protocol ; (2) it was based on a broad-spectrum literature search using numerous databases and other search methods ; (3) it was conducted by experienced reviewers, topic experts, and evidence-based healthcare methodologists who have produced several systematic reviews on OMIs [55–57]; and (4) it incorporated non-randomized studies, animal, and cadaver models [88–93]. The inclusion of animal studies and cadaver models in a systematic review is important because (1) they might provide additional information on the usefulness of conducting the index test; (2) they could provide information on how to design future research studies on our clinical question; (3) considering outcomes from animal studies avoids wasting valuable research information, financial resources, and duplication [88, 89]. The importance of these issues was further stressed by Iain Chalmers, one of the founders of the Cochrane Collaboration, in a recent international symposium on systematic reviews in laboratory animal science ; and (4) not considering these studies would risk that knowledge creation on this topic would come to a standstill. These issues are further strengthened in the context of the high prevalence of the target condition, the risk of biologic damage of the interventional procedure, the instability of implants with the target condition, and the underreporting of adverse effects of interventions [8–10, 13, 94, 95]. It could also be considered unethical not to include experimental studies when only limited numbers of clinical studies are identified. This issue should be further considered in the context that harms of interventions are generally poorly reported .
Weaknesses of the review included: (1) the inclusion of different research models and the heterogeneity of the selected studies could have introduced applicability issues; (2) serious risk of bias scores for most eligible studies; (3) the underreporting of many key items in most selected studies; and (4) the poor responding of several contacted authors.
Numerous sources of heterogeneity were identified in the eligible studies (Tables 1, 2, 3, 4, 5, 6, 7, and 8) . Heterogeneity in a systematic review should be expected and is not a weakness itself, but it could create applicability issues . In addition, the quality of the research findings of most identified studies was conditioned by serious risks of bias (Table 4). Synthesizing the outcomes of these heterogeneous and biased studies in a meta-analysis was therefore not indicated, and findings were discussed in a narrative format (Tables 6, 7, and 8) . To avoid misleading the reader, we did not present the summary diamonds of the effect estimates in the respective forest plots.
Poor reporting was evident in all studies, which made it difficult to detect differences between studies . However, one should consider that our research questions were not always the primary objectives of our eligible studies, and poor reporting of secondary outcomes could have been the consequence. To avoid introducing imprecision, we did not use ‘Not reporting’ as a criterion to increase risk of bias scores. Nevertheless, all studies except one  scored serious risk of bias scores for at least one domain of the ACROBAT-NRSI tool . These issues are addressed in the next section.
Obtaining a response from authors to our requests for additional information was often difficult. This is unfortunate because sharing research data promotes scientific integrity and will reduce research waste . However, responses to our research questions had a positive effect on study selection because one additional study  became eligible for inclusion and strengthened the validity of the outcomes. Responses also helped to fine-tune risk of bias assessments (Table 9) [25, 32, 33, 84]. Although response rates of contacted authors were suboptimal, they were much better than those obtained in our previous systematic reviews on OMIs [55, 56]. Having attached the published protocol of our systematic review to our contacting email could perhaps have accounted for the improved response rate.
Applicability of findings to clinical practice
Notwithstanding the limitations of the eligible primary studies, many of the identified issues could have an impact on the clinical utility of torque recordings and are important when designing new research studies on this topic. These items are discussed using the domains of the ACROBAT-NRSI tool as a framework .
Bias due to confounding and bias in selection of participants into the study
Confounding and selection procedures of participants were sources of bias in most eligible studies (Tables 1 and 4). Randomizing patients to treatments with or without root contact is not feasible for ethical reasons and future research studies should therefore be designed as prospective cohorts on consecutively treated human participants. A prevalence of 20 % of the occurrence of the target condition and a 25 % increase in insertion torque values as the hypothetical starting threshold for test positivity could be considered when conducting power calculations for our second research question. The validity of this latter threshold is unknown because only limited information has been published on this measure [6, 25]. The pitfalls of the split mouth design should also be considered because variations in insertion torque levels could be the result of this study design when experiments are conducted at different time points .
Bias in measurements of interventions: the index test
For the pre-drilling technique, pilot holes are drilled for the entire length of the screw. This procedure reduces the resistance in the bone when implants are inserted. When the tip of the pilot drill touches the root, it could remove part of the root surface which further reduces this resistance. This phenomenon could explain why increases in torque values upon root contact were smallest in most pre-drilling groups (Tables 6, 7, and 8) [6, 33, 84]. This decrease in the severity of the target condition can deflate sensitivity and inflate specificity. The self-drilling technique is probably more accurate in diagnosing implant-root contact and probably also produces less root damage than the pre-drilling technique. McEwan  showed that OMIs did not advance at all after direct root contact using the self-drilling technique. These factors could be two important rationales for avoiding pre-drilling when conducting the index test in clinical practice. Similar findings were also reported for screws placed between dental roots for intermaxillary fixation in maxillofacial surgery . Widar et al.  reported that injury to the dental roots was only found in the pre-drilled group and not in the self-drilled screws. However, our reasoning should be placed in the perspective that fractured implants were only identified in the eligible studies that used the self-drilling technique [25, 32]. OMIs should therefore be inserted with great prudence below their peak torque levels of fracture when using the self-drilling technique [25, 100].
In our eligibility criteria, we aimed at ‘The recording of insertion torque values during the insertion of OMIs’ . This broad spectrum criterion was chosen in order to avoid excluding pertinent studies. Previous systematic reviews on similar topics have shown that definitions of the time points for recording torque values are often broad and that subsequent analyses can filter out differences between subgroups [55, 56]. One of these reviews has also explained the importance of recording insertion torque not just at a specific time point, but in the perspective of four additional insertion parameters: (1) the total number of rotations necessary to insert a screw for its entire thread length; (2) the number of rotations of the implant at the moment of the torque recording; (3) the axial load; and (4) the insertion depth . Measuring the index test remains imprecise without this information because slippage and stalling as a result of root contact or insufficient axial loading can influence insertion depth, the number of rotations, or the time necessary to advance to a certain depth. None of the eligible studies assessed these four insertion parameters in combination with the recordings of insertion torque values. The trustworthiness of these measures could therefore be jeopardized. These issues should be considered when developing protocols for future research studies. A torque sensor that measures torque as a function of the number of rotations could be a starting point.
Even better could be the measuring of torque during the entire insertion path . McEwan demonstrated the change in the insertion graph when the implant touched the root . These measures can only be obtained with digital torque recorders and provide valuable information on early root contact or on stripping or stalling. Such recordings can be helpful for intermediate decision-making on whether to stop or redirect implant insertion. Incorporating continuous torque recordings with digital sensors could have an important impact on clinical practice and future research studies. The validity of a new diagnostic pathway that includes intermediate decision making is depicted in Fig. 6 and should be tested in such studies. We also incorporated the intermediate assessment of implant advancement in relation to the number of rotations of the screws because McEwan showed that OMIs did not advance at all after direct root contact .
This systematic review also pointed at the importance of standardizing implant-, operator-, surgery-, and location-related factors prior to conducting studies on our research questions. These issues have been addressed by ASTM International, which has established a standard (ASTM Standard F543-07ε1)  for conducting insertion torque tests in artificial bone. This guideline has set the minimum inter-implant distance at 5 × the diameter of the implant to avoid weakening of the bone as a result of previous insertions of implants in neighbouring sites. The small inter-implant space of 4 mm, instead of a minimal distance of 6.5 mm (5 × 1.3 mm), could explain the wide variance in effect estimates in the cadaver study by Wilmes et al. .
Bias in measurements of interventions: the reference standard and the target condition
In one eligible study, 32 of 72 two-dimensional radiographs could not adequately diagnose the target condition . Future studies should use three-dimensional radiographs as the reference standard because they are more accurate than two-dimensional imaging techniques [101, 102]. This advantage should be weighed in the context of the higher radiation exposure for the 3D imaging compared with the conventional 2D dental radiographs . Clear definitions of the target condition were presented in three of the eligible studies [6, 32, 33]. Future studies should follow this example because different effect estimates were recorded for different types of target conditions.
Motoyoshi et al.  loaded the OMIs with orthodontic forces prior to conducting the reference standard, which could have contaminated the radiograph by the superimposition of orthodontic coils springs or by displacing the implants. This latter scenario can cause an over- or underestimation of the proportion of patients with a target condition, i.e. introducing respectively disease progression or recovery bias . Chen et al.  took the reference standard at different time points, which could also have led to systematic error.
Bias due to departures from intended interventions and bias due to missing data
Bias due to departures from intended interventions was only identified in one study where histology was necessary because the two-dimensional radiographs could not adequately diagnose the target condition . Poor reporting made it impossible to draw the flow of participants in two studies [25, 33]. In one study , 15 implants were not accounted for and another article  did not report the number of implants with or without root contact, but these numbers were finally obtained through contacting the authors. However, what happened to some of the 56 inserted implants was still not explained. Ignoring drop-outs raises the risk of introducing bias [59, 87].
Bias in measurement of outcomes and bias in selection of the reported result
Bias in the measurement of outcomes was a concern in all studies, mostly as a result of underreporting (Table 4). Calibration and blinding of outcome assessors and the inclusion of more than just one of these operators are important variables for the reduction of bias in this domain. All studies scored ‘low risk’ of bias in the selection of the reported result (Table 4).
Suggested next steps
The outcomes of this systematic review should be considered in the perspective of the different research models, heterogeneity, quality, and reporting issues. The implementation of the index test under review as a replacement or triage test should be avoided because our diagnostic accuracy question was not addressed by any of the eligible studies. Variables discussed in the previous section and those that are illustrated in Fig. 6 should be considered with prudence when inserting OMIs. Using a digital torque sensor as an add-on test is possible because of its shared use for the assessment of implant fractures and implant stability, its minimal costs, and the absence of adverse effects. Transparent reporting on both the desired and adverse effects of implant insertion is an essential component of this new diagnostic pathway.
Because of these characteristics and because the target condition is created during the index test procedures, it will be possible to address a variety of research questions from the same data set. Answers should be first sought in cadaver and in vivo animal studies. A detailed transparent protocol has to be developed for this purpose that includes input from (1) the items presented in our ‘Discussion’ section of the QUADAS-2 tool; (2) the figure for the potential new diagnostic pathway for assessing implant-root contact (Fig. 6); (3) the STARD checklist ; (4) ASTM International ; (5) our protocol with the tailored QUADAS-2 tool ; and (6) a variety of stakeholders, e.g. patients, clinicians, researchers, the paying party, and manufacturers [54, 62]. Measuring insertion torque during the entire insertion process and the reporting of adverse effects of interventions should become key elements of such protocols .
All eligible studies addressed our first research question, but none investigated the second question. This research waste could have been avoided because the answers to both questions could have been extracted from the same data set.
Torque levels of OMIs inserted with root contact were higher than those without in all research models. Highest torque differences were identified in the self-drilling compared with the pre-drilling groups in the animal and cadaver models. One study  showed the importance of continuous recording of torque values during the entire implant insertion process. However, findings should be considered in the context of the different research models, the high heterogeneity, and the serious risk of bias issues.
This research study demonstrated the importance of including non-randomized studies and animal and cadaver models in a systematic review because they (1) were essential for this research topic in the context of its ethical constraints and (2) permitted the uncovering of both expected and unexpected variables associated with the accuracy of the index test. Not including such studies could have slowed down knowledge creation on this topic.
A new diagnostic pathway for the index test was proposed for future research studies, i.e. torque and a variety of other parameters are recorded during the entire self-drilling insertion process, which could provide immediate information when the implant makes root contact . Transparent reporting of both the desired and undesired effects of the insertion process is a key component of this new diagnostic pathway.
This systematic review also showed that responses of contacted authors were helpful, but often difficult to obtain. Not replying to systematic reviewers does not only complicate the work of these researcher, but could also waste potential valuable information [85, 88].
Antoszewska J, Trześniewska P, Kawala B, Ludwig B, Park H-S. Qualitative and quantitative evaluation of root injury risk potentially burdening insertion of miniscrew implants. Korean J Orthod. 2011;41(2):112–20.
Cho UH, Yu W, Kyung HM. Root contact during drilling for microimplant placement. Effect of surgery site and operator expertise. Angle Orthod. 2010;80(1):130–6.
Iwai H, Motoyoshi M, Uchida Y, Matsuoka M, Shimizu N. Effects of tooth root contact on the stability of orthodontic anchor screws in the maxilla: comparison between self-drilling and self-tapping methods. Am J Orthod Dentofacial Orthop. 2015;147(4):483–91.
Kim SH, Kang SM, Choi YS, Kook YA, Chung KR, Huang JC. Cone-beam computed tomography evaluation of mini-implants after placement: is root proximity a major risk factor for failure? Am J Orthod Dentofacial Orthop. 2010;138(3):264–76.
Lee KJ, Joo E, Kim KD, Lee JS, Park YC, Yu HS. Computed tomographic analysis of tooth-bearing alveolar bone for orthodontic miniscrew placement. Am J Orthod Dentofacial Orthop. 2009;135(4):486–94.
Motoyoshi M, Uchida Y, Matsuoka M, Inaba M, Iwai H, Karasawa Y, et al. Assessment of damping capacity as an index of root proximity in self-drilling orthodontic mini-implants. Clin Oral Investig. 2014;18(1):321–6.
Schnelle MA, Beck FM, Jaynes RM, Huja SS. A radiographic evaluation of the availability of bone for placement of miniscrews. Angle Orthod. 2004;74:832–7.
Alves Jr M, Baratieri C, Mattos CT, Araújo MT, Maia LC. Root repair after contact with mini-implants: systematic review of the literature. Eur J Orthod. 2013;35(4):491–9.
Papageorgiou SN, Zogakis IP, Papadopoulos MA. Failure rates and associated risk factors of orthodontic miniscrew implants: a meta-analysis. Am J Orthod Dentofacial Orthop. 2012;142(5):577–595.e7.
Suzuki M, Deguchi T, Watanabe H, Seiryu M, Iikubo M, Sasano T, et al. Evaluation of optimal length and insertion torque for miniscrews. Am J Orthod Dentofacial Orthop. 2013;144(2):251–9.
Meursinge Reynders R, Ladu L, Ronchi L, Di Girolamo N, de Lange J, Roberts N, et al. Insertion torque recordings for the diagnosis of contact between orthodontic mini-implants and dental roots: protocol for a systematic review. Syst Rev. 2015;4(1):39.
Skeggs RM, Benson PE, Dyer F. Reinforcement of anchorage during orthodontic brace treatment with implants or other surgical methods. Cochrane Database Syst Rev. 2007;18(3):CD005098.
Kau CH, English JD, Muller-Delgardo MG, Hamid H, Ellis RK, Winklemann S. Retrospective cone-beam computed tomography evaluation of temporary anchorage devices. Am J Orthod Dentofacial Orthop. 2010;137(2):166.e1–5.
Shinohara A, Motoyoshi M, Uchida Y, Shimizu N. Root proximity and inclination of orthodontic mini-implants after placement: cone-beam computed tomography evaluation. Am J Orthod Dentofacial Orthop. 2013;144(1):50–6.
Choi HJ, Kim TW, Kim HW. A precise wire guide for positioning interradicular miniscrews. J Clin Orthod. 2007;41(5):258–61.
Estelita S, Janson G, Chiqueto K, Janson M, de Freitas MR. Predictable drill-free screw positioning with a graduated 3-dimensional radiographic-surgical guide: a preliminary report. Am J Orthod Dentofacial Orthop. 2009;136(5):722–35.
Gahleitner A, Podesser B, Schick S, Watzek G, Imhof H. Dental CT and orthodontic implants: imaging technique and assessment of available bone volume in the hard palate. Eur J Radiol. 2004;51(3):257–62.
Kim SH, Choi YS, Hwang EH, Chung KR, Kook YA, Nelson G. Surgical positioning of orthodontic mini-implants with guides fabricated on models replicated with cone-beam computed tomography. Am J Orthod Dentofacial Orthop. 2007;131(4 Suppl):S82–9.
Marmulla R, Wörtche R, Mühling J, Hassfeld S. Geometric accuracy of the NewTom 9000 Cone Beam CT. Dentomaxillofac Radiol. 2005;34(1):28–31.
Suzuki EY, Buranastidporn B. An adjustable surgical guide for miniscrew placement. J Clin Orthod. 2005;39(10):588–90.
Hembree M, Buschang PH, Carrillo R, Spears R, Rossouw PE. Effects of intentional damage of the roots and surrounding structures with miniscrew implants. Am J Orthod Dentofacial Orthop. 2009;135(3):280.e1–9.
Liou EJ, Pai BC, Lin JC. Do miniscrews remain stationary under orthodontic forces ? Am J Orthod Dentofacial Orthop. 2004;126:42–7.
Nienkemper M, Handschel J, Drescher D. Systematic review of mini-implant displacement under orthodontic loading. Int J Oral Sci. 2014;6(1):1–6.
Wang YC, Liou EJ. Comparison of the loading behaviour of self-drilling and predrilled miniscrews throughout orthodontic loading. Am J Orthod Dentofacial Orthop. 2008;133:38–43.
Brisceno CE, Rossouw PE, Carrillo R, Spears R, Buschang PH. Healing of the roots and surrounding structures after intentional damage with miniscrew implants. Am J Orthod Dentofacial Orthop. 2009;135(3):292–301.
Farr DR, Whear NM. Intermaxillary fixation screws and tooth damage. Br J Oral Maxillofac Surg. 2002;40(1):84–5.
Jones DC. The intermaxillary screw: a dedicated bicortical bone screw for temporary intermaxillary fixation. Br J Oral Maxillofac Surg. 1999;37(2):115–6.
Widar F, Kashani H, Kanagaraja S, Dahlin C, Rasmusson L. A retrospective evaluation of iatrogenic dental root damage with predrilled vs drill-free bone anchor screws for intermaxillary fixation. Dent Traumatol. 2012;28(2):127–31.
El-Beialy AR, Abou-El-Ezz AM, Attia KH, El-Bialy AM, Mostafa YA. Loss of anchorage of miniscrews: a 3-dimensional assessment. Am J Orthod Dentofacial Orthop. 2009;136(5):700–7.
Kuroda S, Yamada K, Deguchi T, Hashimoto T, Kyung HM, Takano-Yamamoto T. Root proximity is a major factor for screw failure in orthodontic anchorage. Am J Orthod Dentofacial Orthop. 2007;131 Suppl 4:S68–73.
Wang ZD, Li QY, Wang L, Gu YJ. Comparative evaluation of two kinds of micro-implant system with different size. Hua Xi Kou Qiang Yi Xue Za Zhi. 2009;27(2):150–3.
McEwan MB. An evaluation of the insertion torque of orthodontic miniscrew implants in relation to tooth root contact. MSc thesis. Saint Luis: Department of Dentistry; 2012.
Wilmes B, Su YY, Sadigh L, Drescher D. Pre-drilling force and insertion torques during orthodontic mini-implant insertion in relation to root contact. J Orofac Orthop. 2008;69(1):51–8.
ASTM Standard F543-07ε1. Standard specification and test methods for metallic medical bone screws. West Conshohocken: ASTM International; 2007. Editorially corrected August 2009.
Bossuyt PM, Irwig L, Craig J, Glasziou P. Comparative accuracy: assessing new tests against diagnostic pathways. BMJ. 2006;332(7549):1089–92.
Motoyoshi M, Hirabayashi M, Uemura M, Shimizu N. Recommended placement torque when tightening an orthodontic mini-implant. Clin Oral Implants Res. 2006;17:109–14.
Keim RG, Gottlieb EL, Vogels 3rd DS, Vogels PB. 2014 JCO study of orthodontic diagnosis and treatment procedures, part 1: results and trends. J Clin Orthod. 2014;48(10):607–30.
Haynes RB, You JJ. Chapter 2: the architecture of diagnostic research. In: Knottnerus JA, Buntinx F, editors. The evidence of Clinical Diagnosis: Theory and Methods of Diagnostic Research. Oxford: Blackwell Publishing; 2009. p. 256–72.
Thompson MT, Van den Bruel A. Chapter 3: asking an answerable clinical question. In: Thompson MT, Van den Bruel A, editors. Diagnostic tests toolkit. Chichester: Wiley-Blackwell; 2012. p. 16–7.
Deeks JJ, Wisniewski S, Davenport C. Chapter 4: guide to the contents of a Cochrane Diagnostic Test Accuracy Protocol. In: Deeks JJ, Bossuyt PM, Gatsonis C, editors. Cochrane handbook for systematic reviews of diagnostic test accuracy version 1.0.0. The Cochrane Collaboration, 2013. http://methods.cochrane.org/sdt/handbook-dta-reviews. Accessed 26 Mar 2016.
Higgins JPT, Green S. Cochrane handbook for systematic reviews of interventions version 5.1.0 (updated March 2011). The Cochrane Collaboration, 2011. http://www.cochrane-handbook.org. Accessed 26 Mar 2016.
Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4(1):1.
Shamseer L, Moher D, Clarke M, Ghersi D, Deceased LA, Petticrew M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation. BMJ. 2015;349:g7647.
Moher D, Liberati A, Tetzlaff J, Altman DG, PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 2009;6(7):e1000097.
Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gøtzsche PC, Ioannidis JP, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration. PLoS Med. 2009;6(7):e1000100. Epub 2009 Jul 21.
Sterne JAC, Higgins JPT, Reeves BC on behalf of the development group for ACROBATNRSI. A Cochrane Risk Of Bias Assessment Tool: for Non-Randomized Studies of Interventions (ACROBATNRSI), Version 1.0.0, 24 September 2014. [online] Available from: http://www.riskofbias.info (Accessed 26 Mar 2016).
Bossuyt PM, Leeflang MM. Chapter 6: developing criteria for including studies. In: Deeks JJ, Bossuyt PM, Gatsonis C, editors. Cochrane handbook for systematic reviews of diagnostic test accuracy version 0.4 [updated September 2008]. The Cochrane Collaboration, 2008. http://methods.cochrane.org/sdt/handbook-dta-reviews. Accessed 26 Mar 2016.
PROSPERO. Centre for reviews and dissemination. University of York, UK. http://www.crd.york.ac.uk/PROSPERO/. Accessed 26 Mar 2016.
Kanomi R. Mini-implant for orthodontic anchorage. J Clin Orthod. 1997;31(11):763–7.
De Vet HCW, Eisinga A, Riphagen II, Aertgeerts B, Pewsner D. Chapter 7: searching for studies. In: Deeks JJ, Bossuyt PM, Gatsonis C, editors. Cochrane handbook for systematic reviews of diagnostic test accuracy version 0.4 [updated September 2008]. The Cochrane Collaboration, 2008. http://methods.cochrane.org/sdt/handbook-dta-reviews. Accessed 26 Mar 2016.
Lefebvre C, Manheimer E, Glanville J. Chapter 6: searching for studies. In: Higgins JPT, Green S, editors. Cochrane handbook for systematic reviews ofinterventions version 5.1.0 (updated March 2011). The CochraneCollaboration, 2011. http://www.cochrane-handbook.org.
Sterne JAC, Egger M, Moher D. Chapter 10: addressing reporting biases. In: Higgins JPT, Green S, editors. Cochrane handbook for systematic reviews of interventions version 5.1.0 (updated March 2011). The Cochrane Collaboration, 2011. http://www.cochrane-handbook.org.
STARD 2015: An updated list of essential items for reporting diagnostic accuracy studies. http://www.equatornetwork.org/reporting-guidelines/stard. Accessed 26 Mar 2016.
Bossuyt PM, Reitsma JB, Bruns DE, Gatsonis CA, Glasziou PP, Irwig LM, et al. The STARD statement for reporting studies of diagnostic accuracy: explanation and elaboration. Clin Chem. 2003;49(1):7–18.
Meursinge Reynders RA, Ronchi L, Ladu L, van Etten-Jamaludin F, Bipat S. Insertion torque and success of orthodontic mini-implants: a systematic review. Am J Orthod Dentofacial Orthop. 2012;142(5):596–614.e5.
Meursinge Reynders R, Ronchi L, Ladu L, Van Etten-Jamaludin F, Bipat S. Insertion torque and orthodontic mini-implants: a systematic review of the artificial bone literature. Proc Inst Mech Eng H. 2013;227(11):1181–202.
Reynders R, Ronchi L, Bipat S. Mini-implants in orthodontics: a systematic review of the literature. Am J Orthod Dentofacial Orthop. 2009;135:564.e1–19.
Higgins JPT, Deeks JJ. Chapter 7: selecting studies and collecting data. In: Higgins JPT, Green S, editors. Cochrane handbook for systematic reviews of interventions version 5.1.0 (updated March 2011). The Cochrane Collaboration, 2011. http://www.cochrane-handbook.org.
Higgins JPT, Altman DG, Sterne JAC. Chapter 8: assessing risk of bias in included studies. In: Higgins JPT, Green S, editors. Cochrane handbook for systematic reviews of interventions version 5.1.0 (updated March 2011). The Cochrane Collaboration, 2011. http://www.cochrane-handbook.org.
QUADAS-2: A quality assessment tool for diagnostic accuracy studies: University of Bristol. http://www.bris.ac.uk/quadas/. Accessed 26 Mar 2016.
Santaguida PL, Riley CM, Matchar DB, Santaguida PL, Riley CM, Matchar DB. Chapter 5: assessing risk of bias as a domain of quality in medical test studies. AHRQ publication no. 12-EHC073-EF. In: Chang SM, Matchar DB, editors. Methods guide for medical test reviews (AHRQ publication no. 12-EHC017). Rockville (USA): Agency for Healthcare Research and Quality; 2012 [http://www.effectivehealthcare.ahrq.gov/search-for-guides-reviewsand-reports/?pageaction=displayproduct&productid=558]
Whiting PF, Rutjes AW, Westwood ME, Mallett S, Deeks JJ, Reitsma JB, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. 2011;155(8):529–36.
The Nordic Cochrane Centre. Review Manager (RevMan) [Computer program]: version 5.3. Copenhagen: the Nordic Cochrane Centre, The Cochrane Collaboration; 2014.
Deeks JJ, Higgins JPT, Altman DG. Chapter 9: analysing data and undertaking meta-analyses. In: Higgins JPT, Green S, editors. Cochrane handbook for systematic reviews of interventions version 5.1.0 (updated March 2011). The Cochrane Collaboration, 2011. http://www.cochrane-handbook.org.
Hozo SP, Djulbegovic B, Hozo I. Estimating the mean and variance from the median, range, and the size of a sample. BMC Med Res Methodol. 2005;5:13.
WebPlotDigitizer: a web based tool to extract data from plots, images, and maps. [online] Available from: http://arohatgi.info/WebPlotDigitizer/(Accessed 26 Mar 2016).
Borenstein M, Hedges LV, Higgins JPT, Rothstein HR. Chapter 40: when does it make sense to perform a meta-analysis? In: Borenstein M, Hedges LV, Higgins JPT, Rothstein HR, editors. Introduction to Meta-Analysis. Chichester: Wiley; 2009.
Macaskill P, Gatsonis C, Deeks JJ, Harbord RM, Takwoingi Y. Chapter 10: analysing and presenting results. In: Deeks JJ, Bossuyt PM, Gatsonis C, editors. Cochrane handbook for systematic reviews of diagnostic test accuracy version 1.0.0. The Cochrane Collaboration, 2010. http://methods.cochrane.org/sdt/handbook-dta-reviews. Accessed 26 Mar 2016.
Borenstein M, Hedges LV, Higgins JPT, Rothstein HR. Chapter 16: identifying and quantifying heterogeneity. In: Borenstein M, Hedges LV, Higgins JPT, Rothstein HR, editors. Introduction to meta-analysis. Chichester (UK): John Wiley & Sons; 2009.
Borenstein M, Hedges LV, Higgins JPT, Rothstein HR. Chapter 1. How a meta-analysis works. In: Borenstein M, Hedges LV, Higgins JPT, Rothstein HR, editors. Introduction to meta-analysis. Chichester: Wiley; 2009.
Higgins JPT, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21:1539–58.
Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327:557–60.
Higgins JP. Commentary: heterogeneity in meta-analysis should be expected and appropriately quantified. Int J Epidemiol. 2008;37(5):1158–60.
O’Rourke K, Detsky AS. Meta-analysis in medical research: strong encouragement for higher quality in individual research efforts. J Clin Epidemiol. 1989;42(10):1021–4.
Reitsma JB, Glas AS, Rutjes AW, Scholten RJ, Bossuyt PM, Zwinderman AH. Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. J Clin Epidemiol. 2005;58:982–90.
Rutter CM, Gatsonis CA. A hierarchical regression approach to meta‐analysis of diagnostic test accuracy evaluations. Stat Med. 2001;20:2865–84.
International Clinical Trials Registry Platform of the World Health Organization. http://apps.who.int/trialsearch/AdvSearch.aspx. Accessed 26 Mar 2016.
Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315(7109):629–34.
The Grading of Recommendations Assessment, Development and Evaluation (GRADE) Working Group. GRADE working group. http://www.gradeworkinggroup.org. Accessed 26 Mar 2016.
Balshem H, Helfand M, Schünemann HJ, Oxman AD, Kunz R, Brozek J, et al. GRADE guidelines: 3. Rating the quality of evidence. J Clin Epidemiol. 2011;64(4):401–6.
Schünemann HJ, Oxman AD, Brozek J, Glasziou P, Jaeschke R, Vist GE, et al. Grading quality of evidence and strength of recommendations for diagnostic tests and strategies. BMJ. 2008;336(7653):1106–10.
Schünemann HJ, Oxman AD, Vist GE, Higgins JPT, Deeks JJ, Glasziou P, Guyatt GH: Chapter 12: interpreting results and drawing conclusions. In Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 (updated March 2011). The Cochrane Collaboration, 2011. Edited by Higgins JPT, Green S. [http://www.cochrane-handbook.org.]
GRADEpro (GRADEproGDT) software from the GRADE working group. http://www.gradepro.org. Accessed 26 Mar 2016.
Chen YH, Chang HH, Chen YJ, Lee D, Chiang HH, Yao CC. Root contact during insertion of miniscrews for orthodontic anchorage increases the failure rate: an animal study. Clin Oral Implants Res. 2008;19(1):99–106.
Chan AW, Altman DG. Epidemiology and reporting of randomised trials published in PubMed journals. Lancet. 2005;365(9465):1159–62.
Schulz KF, Altman DG, Moher D, CONSORT Group. CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials. J Clin Epidemiol. 2010;63(8):834–40.
Higgins JPT, Deeks JJ, Altman DG: Chapter 16: special topics in statistics. In Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 (updated March 2011). The Cochrane Collaboration, 2011. Edited by Higgins JPT, Green S. [http://www.cochrane-handbook.org.]
Chalmers I, Glasziou P. Avoidable waste in the production and reporting of research evidence. Lancet. 2009;374(9683):86–9.
Hooijmans CR, Ritskes-Hoitinga M. Progress in using systematic reviews of animal studies to improve translational research. PLoS Med. 2013;10(7):e1001482.
Chalmers I. Discussion and concluding remarks by Sir Iain Chalmers during the First International Symposium Systematic Reviews in Laboratory Animal Science. February 9th 2012, Nijmegen, The Netherlands. [http://www.youtube.com/watch?v=j5RDdkU2yxE]. Accessed 26 Mar 2016.
Reeves BC, Deeks JJ, Higgins JPT, Wells GA. Chapter 13: including nonrandomized studies. In: Higgins JPT, Green S, editors. Cochrane handbook for systematic reviews of interventions version 5.1.0 (updated March 2011).
OCEBM Levels of Evidence Working Group. The Oxford 2011 levels of evidence. Oxford Centre for Evidence-Based Medicine. http://www.cebm.net/index.aspx?o=5653. Accessed 26 Mar 2016.
Reeves BC, Higgins JPT, Ramsay C, Shea B, Tugwell P, Wells GA. An introduction to methodological issues when including non-randomised studies in systematic reviews on the effects of interventions. Res Synthesis Methods. 2013;4:1–11.
Ioannidis JP, Evans SJ, Gøtzsche PC, O’Neill RT, Altman DG, Schulz K, et al. Better reporting of harms in randomized trials: an extension of the CONSORT statement. Ann Intern Med. 2004;141(10):781–8.
Loke YK, Price D, Herxheimer A. Chapter 14: adverse effects. In: Higgins JPT, Green S. editors. Cochrane handbook for systematic reviews of interventions version 5.1.0 (updated March 2011). The Cochrane Collaboration, 2011. http://www.cochrane-handbook.org.
West SL, Gartlehner G, Mansfield AJ, Poole C, Tant E, et al. Comparative effectiveness review methods: clinical heterogeneity. Agency for Healthcare Research and Quality. Publication No. 10-EHC070-EF. September 2010. http://www.effectivehealthcare.ahrq.gov/ehc/products/93/533/Clinical_Heterogeneity_Revised_Report.pdf. Accessed 26 Mar 2016.
Des Jarlais DC, Lyles C, Crepaz N. Improving the reporting quality of nonrandomized evaluations of behavioural and public health interventions: the TREND statement. The TREND Group. Am J Public Health. 2004;94(3):361–6.
John Hopkins University Data Management Services. About sharing your research data. [online] Available from: http://dmp.data.jhu.edu/preserve-share-research-data/sharing-your-research-data/. (Accessed 26 Mar 2016).
Lesaffre E, Philstrom B, Needleman I, Worthington H. The design and analysis of split-mouth studies: what statisticians and clinicians should know. Stat Med. 2009;28(28):3470–82.
Jolley TH, Chung CH. Peak torque values at fracture of orthodontic miniscrews. J Clin Orthod. 2007;41(6):326–8.
de Paula-Silva FW, Wu MK, Leonardo MR, da Silva LA, Wesselink PR. Accuracy of periapical radiography and cone-beam computed tomography scans in diagnosing apical periodontitis using histopathological findings as a gold standard. J Endod. 2009;35(7):1009–12.
Estrela C, Bueno MR, Leles CR, Azevedo B, Azevedo JR. Accuracy of cone beam computed tomography and panoramic and periapical radiography for detection of apical periodontitis. J Endod. 2008;34(3):273–9.
U.S. Food and Drug Administration (FDA). Dental cone-beam computed tomography. [online] Available from: http://www.fda.gov/Radiation-EmittingProducts/RadiationEmittingProductsandProcedures/MedicalImaging/MedicalX-Rays/ucm315011.htm. (Accessed 26 Mar 2016).
Reitsma JB, Rutjes AWS, Whiting P, Vlassov VV, Leeflang MMG, Deeks JJ. Chapter 9: assessing methodological quality. In: Deeks JJ, Bossuyt PM, Gatsonis C, editors. Cochrane handbook for systematic reviews of diagnostic test accuracy version 1.0.0. The Cochrane Collaboration, 2009. http://methods.cochrane.org/sdt/handbook-dta-reviews. Accessed 26 Mar 2016.
All expenses for conducting this systematic review were paid evenly by each reviewer.
Data sharing statement
Extra data can be accessed by e-mailing email@example.com.
The authors declare that they have no financial or non-financial competing interest in relation to this manuscript.
RMR conceived and designed the study and wrote this manuscript and the protocol for this systematic review and is the guarantor. LL, LR, and RMR selected the eligible studies and conducted the data extraction and analysis. NR assisted with the development of the search strategy. NDG assisted with statistical issues and the procedures for contacting authors. JDL edited the draft of this manuscript. AP assisted with methodological issues and edited the draft of this manuscript. All authors read and approved the final manuscript.
Additional file 1:
PRISMA 2009 Checklist. (DOC 64 kb)
Additional file 2:
Calculating missing statistics. (DOCX 21 kb)
Additional file 3:
Records per data source. (DOCX 16 kb)
Additional file 4:
Excluded full text articles. (DOCX 26 kb)
Additional file 5:
Rationales for the ACROBAT-NRSI risk of bias scores. (DOCX 29 kb)
Additional file 6:
Exemplary emails for contacting authors. (DOCX 18 kb)
Additional file 7:
Outcomes of contacting authors. (DOCX 16 kb)
Rights and permissions
Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
About this article
Cite this article
Meursinge Reynders, R., Ladu, L., Ronchi, L. et al. Insertion torque recordings for the diagnosis of contact between orthodontic mini-implants and dental roots: a systematic review. Syst Rev 5, 50 (2016). https://doi.org/10.1186/s13643-016-0227-3
- Diagnostic test accuracy
- Root contact
- Root proximity
- Insertion torque
- Systematic review
- Contacting authors