Acupuncture methods for insomnia disorder in the elderly: protocol for a systematic review and network meta-analysis
Systematic Reviews volume 12, Article number: 124 (2023)
Insomnia disorder remains one of the most common sleep disorders in the elderly, with high prevalence and substantial consequences for patients’ general health. Despite that increasing clinical trials have indicated that acupuncture seems to be effective for insomnia disorder in the elderly, comparative efficacy and safety of different acupuncture methods for elderly individuals with insomnia disorder has been unclear. Therefore, this protocol outlined a plan to evaluate and rank the efficacy and safety of various acupuncture approaches for insomnia disorder in the elderly.
A systematic search of 8 bibliographic databases will be conducted from their inception to 18 June 2023, including Cochrane Library, MEDLINE (via PubMed), Embase, Web of Science, Chinese National Knowledge Infrastructure (CNKI), Wanfang Database, VIP Database, and Chinese Biomedical Literature Database (CBM). Randomized controlled trials investigating acupuncture methods for insomnia disorder in the elderly, published in English or Chinese will be included. The primary outcome is sleep quality measured by the Pittsburgh Sleep Quality Index (PSQI). Two reviewers will independently perform study selection, data extraction and risk assessment of bias. The quality of included literatures will be appraised using Cochrane risk-of-bias tool (ROB 2.0). ADDIS (Aggregate Data Drug Information System) V.1.16.8 will be used to conduct Bayesian network meta-analysis. The quality of evidence will be evaluated using the Grading of Recommendations Assessment, Development and Evaluation System (GRADE).
In this study, the results will provide credible evidence to assess the efficacy and safety of acupuncture therapies for elderly patients with insomnia disorder, assisting patients, physicians and clinical research investigators to select the most appropriate acupuncture method.
Systematic review registration
Insomnia disorder is a common disease worldwide, which is one of the most common sleep disorders among the elderly [1,2,3]. It has been shown that more than 50% of the elderly worldwide suffer from sleep disorders, of these, 20% to 40% suffer from insomnia disorder . Women have a higher incidence of insomnia disorder than men [5, 6]. The main symptom of insomnia is difficulty in falling asleep or sleep maintenance disorder . However, long-term insomnia disorder will not only increase the risk of depression and death in the elderly, but also is an independent risk factor for cardiovascular disease and diabetes [8,9,10,11,12]. which seriously affects the quality of life of patients and causes greater psychological and economic burden to patients and their families, and insomnia disorder has become a major public health problem [13,14,15].
Treatment of insomnia disorder can be divided into pharmacological and non-pharmacological interventions . Benzodiazepine receptor agonists as pharmacological interventions have the most evidence for treating insomnia, with serious side effects such as increased risks of falls and hip fractures, over-sedation, and confusion among the elderly [17,18,19,20,21]. Therefore, several authors propose that non-pharmacological interventions should be considered as first-line treatment options for insomnia disorder in the elderly . Among non-pharmacological interventions, cognitive behavioral therapy (CBT) has been recognized as a first-line treatment for insomnia disorder . However, high costs and lack of professionals limit its availability . Consequently, for the elderly, seeking for an effective, simple, safe treatment of insomnia disorder appears to have great significance.
Acupuncture, as an important part of complementary and alternative therapies, has numerous advantages, such as wide indication, reliable curative effect, convenient operation, economic safety, and has been widely accepted and applied worldwide . Acupoints on the meridians are stimulated by using disposable sterile acupuncture needles . A growing number of randomized controlled trials (RCT) have indicated that acupuncture could improve sleep quality, prolong sleep time, reduce the severity of insomnia disorder among the elderly [27,28,29]. Clinically, multiple acupuncture methods are available for insomnia disorder in the elderly, such as manual acupuncture, electroacupuncture, auricular acupuncture, and auricular acupressure. However, due to the diversity of acupuncture approach, determining the most effective acupuncture method is intractable, which makes clinicians confused about how to select the optimal acupuncture method for elderly individuals with insomnia disorder.
Up to now, among appraising multiple competing interventions, network meta-analysis is considered as precisely effective approach, which can provide the rankings of distinctive acupuncture methods . Therefore, the objective of this systematic review and network meta-analysis is to generate a clinically useful evidence-based hierarchy for efficacy and safety of various acupuncture approaches for insomnia disorder in the elderly.
The protocol was performed in compliance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) statement and the Checklist of Items to Include When Reporting a Systematic Review Involving a Network Meta-analysis [31, 32] (Additional file 1). Meanwhile, it has been registered with OSF with registration number https://doi.org/10.17605/OSF.IO/3KJPQ.
Criteria for including studies in this review
Types of studies
RCTs reported in English or Chinese without any regional restrictions will be included. In case of a randomized crossover trial, we will include only the first-phase results. Animal experimental studies, quasi-RCTs, case report, expert experience, conference article and duplicated publications will be excluded.
Types of patients
Elderly patients (≥ 60 years) who have been diagnosed with insomnia disorder, according to the Diagnostic and Statistical Manual of Mental Disorders (DSM) , the International Classification of Sleep Disorders (ICSD) , the Chinese Classification of Mental Disorders (CCMD)  or other accepted diagnostic standards will be included, regardless of gender, race, economic status, ethnicity or the severity of insomnia disorder. Patients with drug allergies or other serious medical conditions such as cancer, liver disease, or kidney disease should be excluded from the original trials.
Types of interventions
Acupuncture will be defined in this review as acupoint-based therapy, irrespective of needling techniques and stimulation method, including manual acupuncture, electro-acupuncture, auricular acupuncture, auricular acupressure, acupressure, acupoint application, moxibustion, catgut embedding, transcutaneous electrical acupoint stimulation, acupoint injection, and others. Interventions without stimulating the acupoint will be ruled out.
Types of control groups
Treatments in the control groups will include sham acupuncture, placebo, pharmacotherapy, no treatment, waiting list, lifestyle modifications, or usual care. Studies that compared the distinctive types of acupoint-based therapy will be included.
Types of outcome measures
Studies that report one or more of the below-mentioned outcomes will be included. Otherwise, the trial will be excluded.
The review will mainly aim to investigate various acupuncture methods in the improvement of the sleep quality. Therefore, the change of the sleep quality will be measured by the Pittsburgh Sleep Quality Index (PSQI) .
The secondary outcomes will include: (I) sleep onset latency (in min) and sleep efficiency (%). Sleep efficiency is defined as the total sleep time, divided by the total recording time; (II) Insomnia Severity Index ; (III) Quality of Life Scale (SF-36) ; and (IV) adverse events measured by the Treatment Emergent Symptom Scale (TESS)  or the incidence of adverse events.
Search methods for identification of studies
The following eight electronic databases including Cochrane Library, MEDLINE (via PubMed), Embase, Web of Science, Chinese National Knowledge Infrastructure (CNKI), Wanfang Database, VIP Database, and Chinese Biomedical Literature Database (CBM) will be searched from their inception to 18 June 2023. Gray literature should also be searched. All randomized controlled trials reported in English or Chinese will be included. In addition, qualified research conference abstracts, reference lists of manuscripts and trial registry database (WHO International Clinical Trials Registry Platform and Clinical Trials. gov) will be retrieved to identify additional studies. The search strategy consists of Medical Subject Headings (MeSH) and free-text terms, such as insomnia OR insomnia disorder AND aged OR elderly AND acupuncture OR acupuncture therapy OR manual acupuncture OR electroacupuncture AND randomized. The proposed detailed search strategy for PubMed is presented in Table 1. Detailed information on the full search strategies for all databases is available in the online Supplemental appendix 1.
Selection of studies
According to the exclusion and inclusion criteria, studies imported into Endnote X9 software after exclusion of duplicated articles will be independently screened by two authors (WD and HZ). Full texts of the relevant study will be reviewed to confirm the final inclusion of studies. For unclear study, the author will be contacted for details to determine whether this literature would be included. Any disagreement on articles will be resolved through discussion or rechecked by a third reviewer (TG) until consensus will be reached. The outline of the study selection procedure will be presented in a Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow chart Fig. 1.
Data extraction and management
Based on a self-designed data acquisition form, 2 reviewers (RW and XH) will independently extract the following information from eligible studies: (I) general information (country, publication year, first author, study type, number of centers, sample size and study design); (II) patient information (age, gender, ethnicity, diagnosis, insomnia intensity before treatment); (III) intervention and comparator (types of acupuncture, selection of acupuncture points and treatment frequency /session/duration, follow-up period,); (IV) outcomes (data and time points for each measurement, types of outcomes); (V) adverse events; for missing data or clarification for unclear information, an effort will be made to contact the corresponding author to obtain detailed information. In case of ambiguity and divergence, it will be resolved through discussion or the involvement of the third reviewer (CW). Finally, the data will be transferred to RevMan software.
The quality of the included studies will be evaluated using the Cochrane Risk of Bias 2 tool (RoB2)  by two independent reviewers (XC and HZ) according to the below-mentioned five domains:bias arising from the randomization process; bias due to deviations from intended interventions; bias due to missing outcome data; bias in measurement of the outcome and bias in selection of the reported result. The risk of bias assessed by each outcome will be judged (low/high/some concerns) and the overall risk of bias of the assessment results will be predicated. Any discrepancy will be arbitrated by a third reviewer (TG). If a RCT was judged to have “some concerns” about the risk of bias in three or more domains, it will be excluded from the systematic review due to the high risk of bias.
The Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system  will be applied to evaluate the strength of the evidence by 2 independent reviewers (WD and HZ). Evidence quality will be judged as “high-quality”, “moderate quality”,“low quality”, or “very low quality” in terms of the risk of bias, inconsistency, indirectness, imprecision and publication bias. If any dispute occurs, the third reviewer (CW) will act as a referee.
Assessment of similarity and consistency
In order to acquire a credible and valid result, the assessment of similarity and consistency will be carried out. Due to the difficulty in determining similarity through statistical analysis, the assessment will be performed based on clinical and methodological characteristics, including study designs (risk of bias), patient characteristics (age and severity of insomnia), and interventions (duration/types/sessions/intensity of treatment and needling techniques). Both a local and global approach will be applied to assess the assumption of consistency. The local consistency of direct and indirect evidence will be evaluated using the node-splitting approach and we will calculate the P value . If the node shows a P value greater than 0.05, there is no significant statistical difference; conversely, the comparison of direct and indirect evidence will be considered as inconsistency . In the meantime, inconsistency throughout the entire network will be assessed applying the design-by-treatment interaction model and chi-squared test .
The premise of pairwise meta-analysis is law of similarity, which means only when the included studies meet a certain degree of similarity, can the meta-analysis be carried out. We stipulate that no less than 3 studies of same interventions and outcome indicators can make sense in pairwise meta-analysis. The software RevMan version 5.4 (Review Manager, The Cochrane Collaboration, 2020) will be applied to conduct Pairwise meta-analysis to compare treatments with direct evidence. The effect sizes will be calculated employing the change from baseline in sleep quality. Standardized mean differences (SMD) for continuous outcomes or ORs for dichotomous outcomes, both with a 95% CI, will be calculated as effect measures. The Cochran’s Q χ2 test and I2 statistic will be measured for heterogeneity as a measure to reflect the underlying differences between the RCTs that directly compare the same pair of interventions. A p value of up to 0.10, and I2 value of above 50% will indicate high heterogeneity. Sensitivity analysis of pairwise meta-analyses will be performed to validate the robustness of the results by omitting studies with unacceptable sources of heterogeneity.
The network meta-analysis will be conducted using Aggregate Data Drug Information System (ADDIS) V.1.16.8 software (Drugis, Groningen, NL) [43, 45]. A random effects model will be applied to perform a Bayesian network meta-analysis to integrate the direct and indirect evidence with the Markov Chain Monte Carlo method. Four chains will be applied as parameters for simulation. There are 50,000 simulation iterations in each chain, and the researcher will discard the first 20,000 simulations to remove the effect of the initial value. Visual inspection of the trace plots will be used to appraise model convergence and taking the Gelman-Rubin statistic into consideration. In the meantime, the network diagram will be generated using STATA V.15.0 software (Stata Corp., College Station, TX, USA) and compare each outcome. In light of each specific outcome, the effects of different acupuncture approaches will be sequenced to display the most effective surface under the cumulative ranking curve and mean ranks with their 95% CI.
Assessment of heterogeneity
The Q test and I2 statistics will be applied to calculate statistical heterogeneity among studies. In the light of the Cochrane Handbook , The I2 value is rated as the following four levels: little or no heterogeneity (0–40%), moderate heterogeneity (30–60%), substantial heterogeneity (50–90%) and considerable heterogeneity (75–100%). To explore potential sources of heterogeneity from the clinical and methodological perspective, subgroup or sensitivity analysis will be performed.
Meta-regression, subgroup analysis, and sensitivity analysis
IF feasible, meta-regression and subgroup analysis will also be performed, to detect the possible sources of inconsistency and heterogeneity. Meta-regression will be conducted with the following covariates: (I) initial severity of the disease; (II) sample size; (III) average age; and (IV) the duration, frequency, and course of acupuncture methods. Subgroup analyses will be employed based on the different comparators and various forms of acupuncture methods. Multiple sensitivity analyses for the analyzed outcomes will be performed to assess the findings’ robustness and examine if any particular study accounted for a large proportion of heterogeneity. The analyses will be based on different statistical models and qualities of methodology. The meta-analysis will be repeated, and more inferior quality studies will be excluded.
Assessment of publication bias
A comparison-adjusted funnel plot will be applied to inspect reported bias and small-scale effects visually. If more than 10 trials are available, the funnel plot will be employed to assess the reported bias . If the funnel plot is found to be asymmetrical, Egger’s regression test will be used to analyze the causes of asymmetry. All eligible trials, regardless of the quality of their methodologies, will be included.
Ethics and informed consents
No ethics approval is required since this systematic review and network meta-analysis do not collect confidential personal data and do not perform interventions in treating patients. Besides, the findings will be disseminated through a peer-reviewed journal.
It is reported that various acupuncture methods have been proved to be effective for insomnia disorder in the elderly. However, due to high variability in selecting these acupuncture approaches for clinicians, the Bayesian network meta-analysis will be applied to compare not only the efficacy of available acupuncture therapies, but also rank the probability of acupuncture methods regarding each domain of insomnia disorder in the elderly. To the best of our knowledge, the protocol will be the first systemic review (SR) and NMA to examine acupuncture methods for elderly individuals with insomnia disorder. We sincerely hope that the findings could assist patients, physicians, and clinical research investigators to making more informed treatment decisions. Admittedly, it is worth noting that there may be some limitations existing in this review. On the one hand, only Chinese and English studies were retrieved because of language barrier, which may result in bias. On the other hand, our proposed methodology will only place emphasis on acupuncture approaches, whereas less attention will be paid to the analysis of specific details regarding acupuncture application or acupuncture points selection. The results will be disseminated through peer-reviewed journals or conference reports. The protocol will be updated quickly when supplements are required.
Availability of data and materials
Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols
Randomized controlled trial
Standardized mean difference
Foley DJ, Monjan AA, Brown SL, Simonsick EM, Wallace RB, Blazer DG. Sleep complaints among elderly persons: an epidemiologic study of three communities. Sleep. 1995;18(6):425–32. https://doi.org/10.1093/sleep/18.6.425.
Morin CM, Benca R. Chronic insomnia. Lancet. 2012;379(9821):1129–41. https://doi.org/10.1016/s0140-6736(11)60750-2.
Shochat T, Loredo J, Ancoli-Israel S. Sleep Disorders in the Elderly. Curr Treat Options Neurol. 2001;3(1):19–36. https://doi.org/10.1007/s11940-001-0021-x.
Schubert CR, Cruickshanks KJ, Dalton DS, Klein BE, Klein R, Nondahl DM. Prevalence of sleep problems and quality of life in an older population. Sleep. 2002;25(8):889–93.
Morin CM, LeBlanc M, Daley M, Gregoire JP, Mérette C. Epidemiology of insomnia: prevalence, self-help treatments, consultations, and determinants of help-seeking behaviors. Sleep Med. 2006;7(2):123–30. https://doi.org/10.1016/j.sleep.2005.08.008.
Ohayon MM. Epidemiology of insomnia: what we know and what we still need to learn. Sleep Med Rev. 2002;6(2):97–111. https://doi.org/10.1053/smrv.2002.0186.
Patel D, Steinberg J, Patel P. Insomnia in the Elderly: A Review. J Clin Sleep Med. 2018;14(6):1017–24. https://doi.org/10.5664/jcsm.7172.
Breslau N, Roth T, Rosenthal L, Andreski P. Sleep disturbance and psychiatric disorders: a longitudinal epidemiological study of young adults. Biol Psychiatry. 1996;39(6):411–8. https://doi.org/10.1016/0006-3223(95)00188-3.
Buysse DJ, Angst J, Gamma A, Ajdacic V, Eich D, Rössler W. Prevalence, course, and comorbidity of insomnia and depression in young adults. Sleep. 2008;31(4):473–80. https://doi.org/10.1093/sleep/31.4.473.
Dew MA, Hoch CC, Buysse DJ, Monk TH, Begley AE, Houck PR, Hall M, Kupfer DJ, Reynolds CF 3rd. Healthy older adults’ sleep predicts all-cause mortality at 4 to 19 years of follow-up. Psychosom Med. 2003;65(1):63–73. https://doi.org/10.1097/01.psy.0000039756.23250.7c.
Vgontzas AN, Liao D, Pejovic S, Calhoun S, Karataraki M, Basta M, Fernández-Mendoza J, Bixler EO. Insomnia with short sleep duration and mortality: the Penn State cohort. Sleep. 2010;33(9):1159–64. https://doi.org/10.1093/sleep/33.9.1159.
Winkelman JW. CLINICAL PRACTICE. Insomnia Disorder N Engl J Med. 2015;373(15):1437–44. https://doi.org/10.1056/NEJMcp1412740.
Léger D, Bayon V. Societal costs of insomnia. Sleep Med Rev. 2010;14(6):379–89. https://doi.org/10.1016/j.smrv.2010.01.003.
Rosekind MR, Gregory KB. Insomnia risks and costs: health, safety, and quality of life. Am J Manag Care. 2010;16(8):617–26.
Taddei-Allen P. Economic burden and managed care considerations for the treatment of insomnia. Am J Manag Care. 2020;26(4 Suppl):S91-s96. https://doi.org/10.37765/ajmc.2020.43008.
Erman MK (2005) Therapeutic options in the treatment of insomnia. J Clin Psychiatry 66 Suppl 9:18–23; quiz 42–13.
Cumming RG, Le Couteur DG. Benzodiazepines and risk of hip fractures in older people: a review of the evidence. CNS Drugs. 2003;17(11):825–37. https://doi.org/10.2165/00023210-200317110-00004.
Gray SL, LaCroix AZ, Hanlon JT, Penninx BW, Blough DK, Leveille SG, Artz MB, Guralnik JM, Buchner DM. Benzodiazepine use and physical disability in community-dwelling older adults. J Am Geriatr Soc. 2006;54(2):224–30. https://doi.org/10.1111/j.1532-5415.2005.00571.x.
Kudoh A, Takase H, Takahira Y, Takazawa T (2004) Postoperative confusion increases in elderly long-term benzodiazepine users. Anesth Analg 99 (6):1674–1678. https://doi.org/10.1213/01.Ane.0000136845.24802.19.table of contents.
Tom SE, Wickwire EM, Park Y, Albrecht JS. Nonbenzodiazepine Sedative Hypnotics and Risk of Fall-Related Injury. Sleep. 2016;39(5):1009–14. https://doi.org/10.5665/sleep.5742.
Buysse DJ. Insomnia. JAMA. 2013;309(7):706–16. https://doi.org/10.1001/jama.2013.193.
Riemann D, Perlis ML. The treatments of chronic insomnia: a review of benzodiazepine receptor agonists and psychological and behavioral therapies. Sleep Med Rev. 2009;13(3):205–14. https://doi.org/10.1016/j.smrv.2008.06.001.
Qaseem A, Kansagara D, Forciea MA, Cooke M, Denberg TD. Management of chronic insomnia disorder in adults: a clinical practice guideline from the American College of Physicians. Ann Intern Med. 2016;165(2):125–33. https://doi.org/10.7326/m15-2175.
Siu PM, Yu AP, Tam BT, Chin EC, Yu DS, Chung KF, Hui SS, Woo J, Fong DY, Lee PH, Wei GX, Irwin MR (2021) Effects of Tai Chi or Exercise on Sleep in Older Adults With Insomnia: A Randomized Clinical Trial. JAMA Netw Open 4(2):e2037199. https://doi.org/10.1001/jamanetworkopen.2020.37199.
Hsu DT, Diehl DL (1998) Acupuncture. The West gets the point. Lancet 352 Suppl 4:Siv1. https://doi.org/10.1016/s0140-6736(98)90263-x.
Zhang F, Zhou H, Ding S, Zhang D, Lian D, Chen X, Wang C (2020) Efficacy and safety of acupuncture for recurrent aphthous stomatitis: a systematic review protocol. BMJ Open 10(10):e037603. https://doi.org/10.1136/bmjopen-2020-037603.
Wang XQQS, Wu WZ, Liu CY. Electroacupuncture in the treatment of senile insomnia and its effect on serum melatonin and dopamine. Zhongguo Zhen Jiu. 2021;41(05):501–4.
XM L,. Clinical observation on treatment of senile primary insomnia by ear acupuncture. Shanghai Zhen Jiu journal. 2017;36(06):719–22.
Xue WXZJ, Ge LL. Effect of acupuncture at WU SHU point on sleep quality of senile neurotic insomnia. Chin J Gerontol. 2017;37(21):5390–2.
Wu T, Fu C, Deng Y, Huang W, Li X, Jiao Y. Acupuncture therapy for radiotherapy-induced adverse effects: a protocol for systematic review and Bayesian network meta-analysis. Ann Palliative Med. 2021;10(2):2254–9. https://doi.org/10.21037/apm-20-1747.
Moher D, Shamseer L, Clarke M, Ghersi D, Liberati A, Petticrew M, Shekelle P, Stewart LA. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4(1):1. https://doi.org/10.1186/2046-4053-4-1.
Hutton B, Salanti G, Caldwell DM, Chaimani A, Schmid CH, Cameron C, Ioannidis JP, Straus S, Thorlund K, Jansen JP, Mulrow C, Catalá-López F, Gøtzsche PC, Dickersin K, Boutron I, Altman DG, Moher D. The PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of health care interventions: checklist and explanations. Ann Intern Med. 2015;162(11):777–84. https://doi.org/10.7326/m14-2385.
Battle DE. Diagnostic and Statistical Manual of Mental Disorders (DSM). CoDAS. 2013;25(2):191–2. https://doi.org/10.1590/s2317-17822013000200017.
Sateia MJ. International classification of sleep disorders-third edition: highlights and modifications. Chest. 2014;146(5):1387–94. https://doi.org/10.1378/chest.14-0970.
Chen YF. Chinese classification of mental disorders (CCMD-3): towards integration in international classification. Psychopathology. 2002;35(2–3):171–5. https://doi.org/10.1159/000065140.
Buysse DJ, Reynolds CF 3rd, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28(2):193–213. https://doi.org/10.1016/0165-1781(89)90047-4.
Morin CM, Belleville G, Bélanger L, Ivers H. The Insomnia Severity Index: psychometric indicators to detect insomnia cases and evaluate treatment response. Sleep. 2011;34(5):601–8. https://doi.org/10.1093/sleep/34.5.601.
Ware JE, Jr., Sherbourne CD (1992) The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care 30 (6):473–483.
Yu ZH, Xu XH, Wang SD, Song MF, Liu Y, Yin Y, Mao HJ, Tang GZ (2017) Effect and safety of paroxetine combined with zolpidem in treatment of primary insomnia. Sleep Breath 21 (1):191–195. https://doi.org/10.1007/s11325-017-1462-0.
Sterne JAC, Savović J, Page MJ, Elbers RG, Blencowe NS, Boutron I, Cates CJ, Cheng HY, Corbett MS, Eldridge SM, Emberson JR, Hernán MA, Hopewell S, Hróbjartsson A, Junqueira DR, Jüni P, Kirkham JJ, Lasserson T, Li T, McAleenan A, Reeves BC, Shepperd S, Shrier I, Stewart LA, Tilling K, White IR, Whiting PF, Higgins JPT (2019) RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ 366:l4898. https://doi.org/10.1136/bmj.l4898.
Puhan MA, Schünemann HJ, Murad MH, Li T, Brignardello-Petersen R, Singh JA, Kessels AG, Guyatt GH (2014) A GRADE Working Group approach for rating the quality of treatment effect estimates from network meta-analysis. BMJ 349:g5630. https://doi.org/10.1136/bmj.g5630.
Dias S, Welton NJ, Caldwell DM, Ades AE. Checking consistency in mixed treatment comparison meta-analysis. Stat Med. 2010;29(7–8):932–44. https://doi.org/10.1002/sim.3767.
Yin Z, Geng G, Xu G, Zhao L, Liang F. Acupuncture methods for allergic rhinitis: a systematic review and bayesian meta-analysis of randomized controlled trials. Chin Med. 2020;15:109. https://doi.org/10.1186/s13020-020-00389-9.
Shen Y, Jin S, Lin C, Shen J, Hong Z, Xue S, Guo D. Safety of different carotid artery revascularization strategies in the coronary artery bypass graft population: study protocol for a systematic review and network meta-analysis. Annals of translational medicine. 2020;8(23):1605. https://doi.org/10.21037/atm-20-4451.
Huang YY, Dou KX, Zhong XL, Shen XN, Chen SD, Li HQ, Chen KL, Cui M, Dong Q, Tan L, Yu JT. Pharmacological treatment of neuropsychiatric symptoms of dementia: a network meta-analysis protocol. Ann Transl Med. 2020;8(12):746. https://doi.org/10.21037/atm-20-611.
Higgins JP, GS. Cochrane Handbook for systematic reviews of interventions. Wiley Online Library. 2008
Wang L, Xu M, Zheng Q, Zhang W, Li Y. The effectiveness of acupuncture in management of functional constipation: a systematic review and meta-analysis. Evid Based Complement Alternat Med. 2020;2020:6137450. https://doi.org/10.1155/2020/6137450.
Sichuan Sub-health industry of traditional Chinese medicine product development and innovation team (2022C006); clinical study on scalp acupuncture combined with sleep aid decoction to intervene subhealthy sleep disorder( 2022048); research and development of TCM intelligent diagnosis and treatment instruments—meridian and acupoint instrument for neurodegenerative diseases (2022ZDZX0033); Sichuan and Sichuan Sub-Health School—The Collation of traditional Chinese Medicine academic thought and clinical demonstration study on Wang Chao's treatment of sleep quality decline (2022CP7260).
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Dong, W., Zhou, H., Wu, R. et al. Acupuncture methods for insomnia disorder in the elderly: protocol for a systematic review and network meta-analysis. Syst Rev 12, 124 (2023). https://doi.org/10.1186/s13643-023-02287-1
- Acupuncture therapy
- Elderly, insomnia disorder
- Network meta-analysis (NMA)