Brazilian oral herbal medication for osteoarthritis: a systematic review protocol
Systematic Reviews volume 5, Article number: 86 (2016)
Osteoarthritis affects 1 % of the world’s population and is the most common cause of musculoskeletal impairment in the elderly. Herbal medications are commonly used in Brazil to manage symptoms associated with osteoarthritis, and some of them are financed by the Brazilian government; however, the effectiveness of most of these agents is uncertain. The aim was to systematically review the efficacy and safety of 13 oral herbal medications used in Brazil for the treatment of osteoarthritis.
Randomized clinical trials eligible for our systematic review will enroll adults with osteoarthritis treated by a Brazilian herbal medication or a control group (placebo or active control). Using terms to include all forms of osteoarthritis combined with herbal medications, we will search the following electronic databases: Cochrane Central Register of Controlled Trials (CENTRAL); MEDLINE; EMBASE; CINAHL; Web of Science; Health Star; AMED, the database of the Cochrane Complementary Medicine Field, LILACS; CAB abstracts, Clinical trial.gov, WHO trials registry, and Bank of Brazil Thesis (CAPES), to 31 January 2016, without restrictions concerning language or status of publication. Outcomes of interest include the following: symptom relief (e.g., pain), adverse events (gastrointestinal bleeding, epigastric pain, nausea, and allergic reactions), discontinuation due to adverse events, quality of life, and the satisfaction with the treatment. Dichotomous data will be summarized as risk ratios; continuous data will be given as standard average differences with 95 % confidence intervals. A team of reviewers will assess each citation independently for eligibility and in duplicate it. For eligible studies, the same reviewers will perform data extraction, bias risk assessment, and determination of the overall quality of evidence for each of the outcomes using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) classification system.
This is the first study that will evaluate the use of herbal medications used in Brazil for the treatment of pain caused by osteoarthritis. The results could guide prescribers in decision-making in clinical practice, to inform the patients with pain caused by osteoarthritis in relation to effective and safe treatment options and to inform the managers of the public health system which of the plants could actually be financed by the Brazilian government.
Systematic review registration
Osteoarthritis is the most common musculoskeletal disease and is associated with significant functional decline and reduced quality of life . It is characterized by loss of articular cartilage, subchondral bone remodeling, bone spurs, ligament laxity, weakening of the periarticular muscles, and thickening of the capsule and synovial membrane [2–4]. Osteoarthritis is the result of both mechanical and biological events that cause imbalance in the normal process of degradation and synthesis of joint cartilage chondrocyte, extracellular matrix, and subchondral bone .
The World Health Organization (WHO) states that osteoarthritis is a disease related to an aging population  and the leading cause of chronic disability in middle-aged and older populations . The risk of osteoarthritis increases from 1 % in 30 years old people to almost 10 % in people over the age of 40 years and 50 % in people over the age of 60 years . Osteoarthritis produces a variety of serious social problems, both health and economic and is one of the more debilitating musculoskeletal diseases among the elderly .
Although treatment guidelines recommend analgesics as first-line drugs, the non-steroidal anti-inflammatory drugs are preferred, although they are less safe and more expensive . Due to the high incidence of adverse events related to non-steroidal anti-inflammatory drugs (NSAID) and the high costs associated with adverse events (e.g., gastrointestinal bleeding or perforation, additional medical visits, diagnostic procedures, treatments, and hospitalizations), therapeutic alternatives are an area of great interest [15, 16].
The use of herbal medicines worldwide is substantial and increasing. In 2001, the USA, around 38 % of adults and 12 % of children report use of herbal medicine . Use of herbal medicines in developing countries is even greater, and an estimated 85 % of the Brazilian population use plants or preparations of these for their healthcare . In 2011, the Brazilian herbal market generated 1.1 billion in revenue, which included sales of 43 million units of phytomedicines .
In primary health care, the use of medicinal plants has been stimulated by guidelines from various national health conferences and by the WHO . The National Policy of Integrative and Complementary Practices and the National Policy of Medicinal and Phytotherapeutic Plants adopted in 2006 were created to meet the demands of the Brazilian population. These policies were decisive steps towards introducing the use of medicinal and phytotherapeutic plants in the Brazilian Unified Health System (SUS) .
In Brazil, there are 13 herbal medications marketed for the treatment of osteoarthritis: Harpagophytum procumbens DC. ex Meisn., Uncaria tomentosa (Willd.) DC., Salix alba L., (financed by the government), Boswellia serrata Roxb. ex Colebr., Bowdichia virgilioides Kunth., Curcuma longa L. (or Curcuma domestica Valeton), Chenopodium ambrosioides L., Cordia curassavica (Jacq.) Roem. & Schult. (or Cordia verbenacea DC.), Salix daphnoides Vill, Salix purpurea L., Persea gratissima Gaertn.f. (or Persea americana Mill.), Uncaria guianesis (Aubl.) J.F. Gmel, and Zingiber officinale Roscoe.
Two systematic reviews evaluated the use of herbal medicines for the treatment of osteoarthritis by topical and oral use, respectively [22, 23]. However, these studies did not include some of the plants marketed in Brazil: B. virgilioides Kunth, C. ambrosioides L, C. curassavica (Jacq.) Roem. & Schult, S. alba L., and U. tomentosa (Willd.) DC. Of these plants, U. tomentosa (Willd.) DC. and S. alba L. are funded by the Brazilian government to use in the Unified Health System (SUS), and C. ambrosioides L. and C. curassavica (Jacq.) Roem. & Schult are part of a list of plants of interest for development of research in order to include them as medicines financed by SUS.
Despite the common use of herbal medicines for managing osteoarthritis in adults, the safety and efficacy of some of these agents are uncertain. We therefore will conduct a systematic review of randomized controlled trials, which made use of oral herbal medicines used in Brazil for the treatment of osteoarthritis.
The systematic review will be performed according to the recommendations specified in the Cochrane Handbook for Interventional Reviews and reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement  (see Additional file 1).
Protocol and registration
We registered our review protocol in the International Prospective Register of Systematic Reviews (PROSPERO-CRD42015019793—http://www.crd.york.ac.uk/PROSPERO/).
Patients: Adults (>18 years old) with a diagnosis of osteoarthritis according to the criteria of American College of Rheumatology (ACR): Western Ontario and McMaster Universities (WOMAC)  or the equivalent criterion of European League Against Rheumatism (EULAR): Lequesne index .
Interventions: One of the 13 oral herbal medicines is used by the Brazilian population from any of the following plant preparations (whole, powder, extract, crude drug, standardized mixture, and drug extract ratio and solvent): B. serrata Roxb. ex Colebr., B. virgilioides Kunth., C. longa L. (or C. domestica Valeton), C. ambrosioides L., C. curassavica (Jacq.) Roem. & Schult. (or C. verbenacea DC.), H. procumbens DC. ex Meisn., Persea gratissima Gaertn.f. (or P. americana Mill.), S. alba L., S. daphnoides Vill, S. purpurea L., U. tomentosa (Willd.) DC., U. guianesis (Aubl.) J.F. Gmel, and Z. officinale Roscoe. We will identify the daily dose, the active principles, and the marker substance of each plant. We will also investigate if each herbal medicine was prepared according to the WHO recommendations for the manufacturing procedure of medicinal plant parts (http://apps.who.int/medicinedocs/en/d/Jh2984e/).
Type of study: Randomized controlled trials including a group in which patients received one of the herbal medications listed above compared to a control group in which patients receive placebo or a non-herbal medicine controls (for example, NSAID).
Patients: Studies in which more than 20 % of patients have other associated disease.
Interventions: Studies that investigated the simultaneous use of more than one of the eligible plants will be excluded.
Our outcomes will be consistent with those proposed by the Cochrane musculoskeletal group systematic intervention reviews for osteoarthritis . When necessary, the results will be evaluated to unification of the different scales.
Pain in overall or on walking (visual analogue scale (VAS), pain scale sub WOMAC; and other scales)
Physical function—global disability or walking disability (sub-function range of WOMAC index and other scales)
Swelling (VAS and other scales)
Stiffness (WOMAC index and other scales)
Quality of life (Short Form-36 and other scales)
Adverse events: withdrawals and serious adverse events (that cause death, life-threatening, hospitalization, disability or permanent damage)
Number of patients reporting any adverse effects
Satisfaction with the treatment
Consume of rescue medication
Duration of symptom resolved
Change in the structure of the joint (according to American College of Rheumatology criteria for osteoarthritis classification)
Search methods for primary studies
We will search the following electronic databases without language restrictions: the Cochrane Central Register of Controlled Trials (CENTRAL) part of The Cochrane Library, MEDLINE, EMBASE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Web of Science, Health Star (via OVID), AMED, LILACS, CAB abstracts, clinical trial.gov, the WHO Trial Register and the Brazilian thesis database (CAPES), and trial register in Brazil (REBEC) to 31 January 2016; without language and status of publication restrictions. We will combine terms that describe osteoarthritis and herbal medications, individually.
Searching other resources
We will review the reference list of every eligible study we identify and relevant review articles for additional eligible trials. We will write to the authors of all eligible trials and the pharmaceutical companies involved in the production of herbal medicines and inquire about additional trials of which they are aware of. Five Brazilian scientific journals will also be searched by hand for additional eligible studies (Journal of Basic and Applied Pharmaceutical Sciences, Brazilian Journal of Pharmacy, Brazilian Journal of Pharmacognosy, Brazilian Journal of Medicinal Plants, and Brazilian Journal of Pharmaceutical Sciences). Unpublished studies will be identified by searching in reference lists reported in the Brazilian legislation and conference proceedings (Medicinal Symposium of Brazilian medicinal plants; International Congress of Ethnopharmacology).
The search will be conducted individually for each plant. We will use the following MeSH terms: (1) intervention (scientific name of plant, synonymies of each medicinal plant; popular name of each medicinal plant); (2) condition (osteoarthritis, ostepathritis, osteoarthritides, osteoarthrosis, osteoarthroses, arthritis, degenerative, arthritides, degenerative, degenerative arthritides, degenerative arthritis, and osteoarthrosis deformans). We will adapt the search strategy for each database. MEDLINE search strategy is provided in Table 1.
Four reviewers (CC, MG, MB, and SK), working in pairs, will independently screen potentially relevant citations and abstracts and will apply the selection criteria. We will obtain full texts of all articles that either reviewer feels might be eligible. Two reviewers will independently assess the eligibility of each full-text article and resolve disagreements by consensus. In case of duplicate publication, we will use the article with the more complete data.
Four reviewers (CC, MG, MB, and SK), working in pairs, will independently extract the data and will record information regarding patients, methods, interventions, outcomes, and missing outcome data using standardized and pretested data extraction forms with instructions. Before starting data abstraction, we will conduct calibration exercises to ensure consistency between reviewers. We will contact study authors to resolve any uncertainties. Disagreements will be resolved by consensus with any unresolved issues referred to another reviewer.
Risk of bias in individual studies
Using a modified version of the Cochrane collaboration risk of bias tool [28, 29], the same pairs of reviewers will independently asses the risk of bias for each randomized trial, according to the following criteria: random sequence; allocation concealment; blinding of the patient, healthcare professionals, outcome assessors, data collectors, and data analysts; incomplete outcome data; selective outcome reporting; and major baseline imbalance. Reviewers will assign response options of “definitely yes”, “probably yes”, “probably no”, and “definitely no” for each of the domains, with definitely yes and probably yes ultimately being assigned a low risk of bias and definitely no and probably no a high risk of bias . Reviewers will resolve disagreements by discussion, and one arbitrator (LL) will adjudicate unresolved disagreements.
Possible explanations for heterogeneity will include the following: doses (higher versus lower) with an expected larger effect with higher doses, duration of the treatment (longer versus shorter) with an expected larger effect with longer duration of the treatment; and the risk of bias, with an expected larger effect in trials at high or unclear risk of bias versus trials at low risk of bias. We will assess heterogeneity associated with pooled effect estimates with the use of a χ2 test and the I2 statistic . The following heterogeneity will be considered: 0 to 40 % (no important heterogeneity); 30 to 60 % (moderate heterogeneity); 50 to 90 % (substantial heterogeneity); and 75 to 100 % (considerable heterogeneity).
Confidence in pooled estimates of effect
We will also independently rate the quality of evidence from randomized trials for each of the outcomes by using GRADE approach [32, 33]. In the GRADE approach, randomized trials begin as high-quality evidence but may be rated down by one or more of five categories of limitations: risk of bias, inconsistency, indirectness, imprecision, and reporting bias.
To measure agreement between the examiners, we will use the kappa statistics. Values of kappa between 0.40 and 0.59 have been considered to reflect fair agreement, values between 0.60 and 0.80 reflect good agreement, and values that are 0.75 or more reflect excellent agreement .
We will conduct analyses for each herbal intervention and pool of them for each outcome of interest. We will determine the confidence in estimates for each body of evidence and conduct an analysis for the body of evidence that warrants greater confidence. If the two bodies of evidence warrant similar confidence, we will conduct analyses for both bodies of evidence.
Meta-analyses will be conducted using Comprehensive Meta-Analysis STATA software (version 10.1). We will use random effects meta-analyses , which are conservative in that they consider within-studies and between-studies differences in calculating the error term used in the analysis. For trials that report dichotomous outcomes, we will calculate the pooled relative risk with associated 95 % confidence interval (95 % CI).
For continuous outcomes, e.g., pain score, function score, we will use weighted mean differences (WMD) and its 95 % CI as effect measure after we convert them into same scale of Western Ontario and McMaster Universities osteoarthritis index (WOMAC) pain score (0–100) and function score (0–100), in which high score indicates worse outcome. For quality of life, we will convert different scales to SF-36, in which high scores indicate better outcome. Once the WMD has been calculated, we will contextualize this value by noting, when available, the corresponding anchor-based minimally important difference (MID), the smallest change in instrument score that patients perceive is important.
If studies reported the same construct using different measurement instruments, we will calculate the standardized mean difference (SMD) as sensitivity analysis. The SMD expresses the intervention effect in standard deviation units, rather than the original units of measurement, with the value of an SMD depending on the size of the effect (the difference between means) and the standard deviation of the outcomes (the inherent variability among participants). For outcome measures that have an established anchor-based MID, we will use this measure to convert the SMD into an odds ratio and risk difference .
To facilitate the interpretation of the effects of continuous outcomes, we will substitute the MID, when MID is available for different scales, for the standard deviation (denominator) in the SMD equation, which will result in more readily interpretable MID units instead of standard deviation units . If an estimate of the MID is not available, we will use a statistical approach developed by Suissa  to provide a summary estimate of the proportion of patients who benefit from treatment across all studies. Statistical approaches to enhance the interpretability of results of continuous outcomes outlined in this paragraph will use methods cited as well as those described by Thorlund et al. . Funnel plots will be created to explore possible publication bias when at least 10 studies have contributed to a pooled analysis.
We will use recently developed approaches to address missing participant data for dichotomous outcomes  and continuous outcomes . We will only apply these approaches to outcomes that meet the following criteria: show a significant treatment effect and report sufficient missing participant data to potentially introduce clinically important bias. Thresholds for important missing participant data will be determined on an outcome-by-outcome basis.
If sufficient studies are available, we will undertake subgroup analyses for doses (lower versus higher dose) and risk of bias (lower versus higher risk of bias). However, if the meta-analysis is not appropriate due to excessive heterogeneity of population, intervention, comparator, outcome, or methodology, we will construct summary tables and provide a narrative synthesis.
We will present results in evidence profiles as recommended by the GRADE working group [41, 42]. Evidence profiles provide succinct, easily digestible presentations of quality of evidence and magnitude of effects. Our evidence profiles will be constructed with the help of a software program, GRADEpro (http://ims.cochrane.org/gradepro) to include the following seven elements: (1) a list of until seven important outcomes, both desirable and undesirable; (2) a measure of the typical burden of these outcomes (e.g., control group, estimated risk); (3) a measure of the difference between risks with and without intervention; (4) the relative magnitude of effect; (5) numbers of participants and studies addressing these outcomes, as well as follow-up time; (6) a rating of the overall confidence in the estimate of effect for each outcome; and (7) comments, which will include the MID if available.
Our review will evaluate the available evidence for 13 oral Brazilian herbal interventions for osteoarthritis, provide estimates of the effectiveness of treatments and their associated harms, and evaluate the quality of the evidence in a thorough and consistent manner using the GRADE approach .
Previous systematic review had evaluated the oral use of herbal medicines to osteoarthritis ; however, five plants found in Brazilian market were not part of this review: B. virgilioides Kunth, C. ambrosioides L, C. curassavica (Jacq.) Roem. & Schult, S. alba L., and U. tomentosa (Willd.) DC; and the last two are financed by the Brazilian government. Despite the common use of oral herbal medications to manage osteoarthritis, these agents’ safety and effectiveness are uncertain.
We therefore will conduct a systematic review of these herbal medications used in Brazil for the treatment of osteoarthritis in order to guide prescribers in decision-making in clinical practice and to inform managers of the public health system which of these plants could actually be funded by the Brazilian government. The physician should opt for medication whose evidence is determined with the highest levels of quality in relation to effectiveness and safety. The results of our systematic review will be of interest for the public health system and practitioners worldwide, particularly in Brazil.
The compiled information about these herbal medications will inform patients and healthcare practitioners about their effectiveness and safety and help facilitate evidence-based shared care decision-making. The evidence of this study will allow health professionals to be aware of the effectiveness and safety of herbal medications used in Brazil for the treatment of osteoarthritis. This study will also identify key areas for future research.
- 95 % CI:
95 % confidence interval
American College of Rheumatology
Bank of Brazil Thesis
Cochrane Central Register of Controlled Trials
Cumulative Index to Nursing and Allied Health Literature
European League Against Rheumatism
Grading of Recommendations Assessment, Development and Evaluation
minimally important difference
non-steroidal anti-inflammatory drugs
Preferred Reporting Items for Systematic Reviews and Meta-Analyses
standardized mean difference
Brazilian Unified Health System
visual analogue scale
weighted mean differences
Western Ontario and McMaster Universities
Pereira D, Ramos E, Branco J. Osteoarthritis. Acta Med Port. 2015;28(1):99–106.
EUMUSC. Musculoskeletal health in Europe 2011; [Consulted 2016 Jan 08].http://www.eumusc.net/myUploadData/files/Musculoskeletal%20Health%20in%20Europe%20Report%20v5.pdf.
Pereira D, Peleteiro B, Araújo J, Branco J, Santos RA, Ramos E. The effect of osteoarthritis definition on prevalence and incidence estimates: a systematic review. Osteoarthritis Cartilage. 2011;19(11):1270–85.
Litwic A, Edwards MH, Dennison EM, Cooper C. Epidemiology and burden of osteoarthritis. Br Med Bull. 2013;105:185–99.
Hunter DJ, Felson DT. Osteoarthritis. BMJ. 2006;18(332(7542)):639–42.
Woolf AD, Pleger B. Burden of major musculoskeletal conditions. Bull World Health Organ. 2003;81(9):646–56.
Zhang M, Wang J. Epigenetics and osteoarthritis. Genes Dis. 2015;2(1):69–75.
Ruddy S, Harris ED, Sledge CB. Kelley’s textbook of rheumatology. 6th ed. Philadelphia, PA: W.B. Saunders Company; 2001.
Minns CJ, Barker KL, Dewey ME, Sackley CM. Effectiveness of physiotherapy exercise following hip arthroplasty for osteoarthritis: a systematic review of clinical trials. BMC Musculoskelet Disord. 2009;10:98.
Arden N, Nevitt MC. Osteoarthritis: epidemiology. Best Pract Res Clin Rheumatol. 2006;20(1):3–25.
Altman RD. Early management of osteoarthritis. Am J Manag Care. 2010;16:S41–7.
Busija L, Bridgett L, Williams SR, Osborne RH, Buchbinder R, March L, et al. Osteoarthritis. Best Pract Res Clin Rheumatol. 2010;24(6):757–68.
Brand C, Buchbinder R, Wluka A, et al. Guideline for the non-surgical management of hip and knee osteoarthritis. South Melbourne: Royal Australian College of General Practitioners; 2009. p. 1–68.
Ruddy S, Harris ED, Sledge CB. Chronic pain medical treatment guidelines/MTUS (Effective July 18, 2009).
Smalley WE, Ray WA, Daugherty JR, Griffin MR. Nonsteroidal anti-inflammatory drugs and the incidence of hospitalizations for peptic ulcer disease in elderly patients. Am J Epidemiol. 1995;141(6):539–45.
Pope JE, Macrea K, Stevens A, Ouimet JM. The relationship between NSAID use and osteoarthritis (OA) severity in patients with hip and knee OA: results of a case control study of NSAID use comparing those requiring hip and knee replacements to those in whom surgery was not recommended. Med Sci Monit. 2008;14:CR604–10.
Guerra PM, Nodari ORB, et al. Biodiversidade: aspectos biológicos, geográficos, legais e éticos. In: SIMÕES MO, editor. Farmacognosia: da planta ao medicamento. 3rd ed. Porto Alegre: UFRGS; Florianópolis: UFSC; 2001. p. 15.
BRASIL. Política Nacional de Plantas Medicinais e Fitoterápicos. Série B Textos Básicos de Saúde. 2006. http://bvsms.saude.gov.br/bvs/publicacoes/politica_nacional_fitoterapicos.pdf.
Alves LF. Produção de Fitoterápicos no Brasil: História, Problemas e Perspectivas. Ver Virtual Quim. 2013;5:450–513.
WHO traditional medicine strategy: 2014-2023. 2013. http://www.who.int/medicines/publications/traditional/trm_strategy14_23/en/.
Antonio GD, Tesser CD, Moretti-Pires RO. Phytotherapy in primary health care. Rev Saude Publica. 2014;48(3):541–53.
Cameron M, Chrubasik S. Topical herbal therapies for treating osteoarthritis. Cochrane Database Syst Rev. 2013;5:CD010538. doi:10.1002/14651858.CD010538.
Cameron M, Chrubasik S. Oral herbal therapies for treating osteoarthritis. Cochrane Database Syst Rev. 2014;5:CD002947. doi:10.1002/14651858.CD002947.pub2.
Shamseer L, Moher D, Clarke M, Ghersi D, Liberati A, Petticrew M. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation. BMJ. 2015;2(349):g7647.
Altman R, Alarcón G, Appelrouth D, Bloch D, Borenstein D, Brandt K, et al. The American College of Rheumatology criteria for the classification and reporting of osteoarthritis of the hip. Arthritis Rheum. 1991;34(5):505–14.
Zhang Y, Jordan JM. Epidemiology of osteoarthritis. Clin Geriatr Med. 2010;26(3):355–69.
Pham T, Van der Heijde D, Altman RD, Anderson JJ, Bellamy N, Hochberg M, et al. OMERACT-OARSI initiative: Osteoarthritis Research Society International set of responder criteria for osteoarthritis clinical trials revisited. Osteoarthritis Cartilage. 2004;12(5):389–99.
Altman R, Alarcón G, Appelrouth D, Bloch D, Borenstein D, Brandt K, et al. The American College of Rheumatology criteria for the classification and reporting of osteoarthritis of the hand. Arthritis Rheum. 1990;33(11):1601–10.
Higgins JPT, Green S. Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 [updated March 2011]. The Cochrane Collaboration, 2011. htpp: www.cochrane-handbook.org.
Akl EA, Sun X, Busse JW, Johnston BC, Briel M, Mulla S, et al. Specific instructions for estimating unclearly reported blinding status in randomized trials were reliable and valid. J Clin Epidemiol. 2012;65(3):262–7.
Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21(11):1539–58.
Guyatt GH, Oxman AD, Kunz R, et al. GRADE guidelines: 7. Rating the quality of evidence––inconsistency. J Clin Epidemiol. 2011;64(12):1294–302.
Guyatt GH, Oxman AD, Montori V, et al. GRADE guidelines: 5. Rating the quality of evidence—publication bias. J Clin Epidemiol. 2011;64(12):1277–82.
Orwin RG. Evaluating coding decisions. In: Cooper H, Hedges LV, editors. The handbook of research synthesis. New York: Russell Sage Foundation; 1994. p. 555–62.
Montori V, Ioannidis J, Cook DJ, et al. Advanced topics in systematic reviews. Fixed-effects and random-effects models. In: Guyatt G, Rennie D, Meade M, Cook D. eds Users’ guides to the medical literature: a manual for evidence-based clinical practice. Hamilton, Ontario, Canada: McGraw-Hill, 2008.
Busse JW, Bartlett S, Dougados M, Johnston BC, Guyatt GH, Kirwan J, et al. Optimal strategies for reporting pain in clinical trials and systematic reviews: recommendations from a 2014 OMERACT Workshop. J Rheumatol. 2015. [Epub ahead of print].
Johnston BC, Thorlund K, Schünemann HJ, Xie F, Murad MH, Montori VM, et al. Improving the interpretation of quality of life evidence in meta-analyses: the application of minimal important difference units. Health Qual Life Outcomes. 2010;11(8):116.
Thorlund K, Walter SD, Johnston BC, Furukawa TA, Guyatt GH. Pooling health-related quality of life outcomes in meta-analysis—a tutorial and review of methods for enhancing interpretability. Res Synth Meth. 2011;2(3):188–203.
Akl EA, Johnston BC, Alonso-Coello P, Neumann I, Ebrahim S, Briel M. Addressing dichotomous data for participants excluded from trial analysis: a guide for systematic reviewers. PLoS One. 2013;8(2):e57132.
Ebrahim S, Akl EA, Mustafa RA, Sun X, Walter SD, Heels-Ansdell D, et al. Addressing continuous data for participants excluded from trial analysis: a guide for systematic reviewers. J Clin Epidemiol. 2013;66(9):1014–21.
Guyatt GH, Oxman AD, Santesso N, Helfand M, Vist G, Kunz R, et al. GRADE guidelines: preparing summary of findings tables-binary outcomes. J Clin Epidemiol. 2013;66(2):158–72.
Guyatt GH, Thorlund K, Oxman AD, Walter SD, Patrick D, Furukawa TA, et al. GRADE guidelines: preparing summary of findings tables and evidence profiles-continuous outcomes. J Clin Epidemiol. 2013;66(2):173–83.
Guyatt GH, Oxman AD, Kunz R, Falck-Ytter Y, Vist GE, Liberati A, et al. Going from evidence to recommendations. BMJ. 2008;336(7652):1049–51.
This project is funded by governmental Program Graduate Education Institutions—PROSUP—CAPES/UNISO.
The authors declare that they have no competing interests.
MDG is the principal investigator, led the writing of the manuscript, and will participate in data extraction. CCB is the project managers, co-investigator, contributed to the writing and revision of the protocol, and will participate in data extraction. LCL is the project managers, co-investigator and drafted the manuscript. MWB is co-investigator, helped to revise the protocol, and will participate in data extraction. JWB is co-investigator and helped to draft the protocol. SAK contributed to the writing and revision of the manuscript and will participate in data extraction. LW contributed to the writing and revision of protocol and will do statistical analysis. NB is responsible for search strategy and contributed to the writing of protocol. All authors read and approved the final manuscript.
About this article
Cite this article
Moura, M.D.G., Lopes, L.C., Biavatti, M.W. et al. Brazilian oral herbal medication for osteoarthritis: a systematic review protocol. Syst Rev 5, 86 (2016). https://doi.org/10.1186/s13643-016-0261-1