Objective
Gender-based bias during journal peer review can lead to publication biases and perpetuate gender inequality in science. Double-blind peer review, in which the names of authors and reviewers are masked, may present an opportunity for scientific literature to increase equity and reduce gender-based biases. This systematic review of studies evaluates the impact of double-blind vs single-blind peer review on the publication rates by perceived author gender.
Data Sources
The PubMed, Embase, Web of Science, and Scopus electronic databases were searched using the terms “blind,” “peer review,” “gender,” “woman,” and “author.” All published literature in the English language from database inception through 2020 was queried.
Study Eligibility Criteria
Prospective experimental and observational studies comparing double-blind to single-blind peer review strategies examining impact on publication decisions by author gender were included.
Study Appraisal and Synthesis Methods
The extracted data were primarily descriptive and included information on study design, sample size, primary outcome, major findings, and scientific discipline. The studies were characterized on the basis of design and whether the results demonstrated an impact of double-blind peer review on review scores and publication decision by perceived author gender. This study was registered with the International Prospective Register of Systematic Reviews or PROSPERO.
Results
In total, 1717 articles were identified, 123 were reviewed, and 8 were included, encompassing 5 prospective experimental studies and 3 observational studies. Four studies demonstrated a difference in the acceptance rate or review score on the basis of perceived author gender, whereas the other 4 studies demonstrated no differences when the author gender was anonymized.
Conclusion
Studies evaluating the impact of double-blind peer review on author gender demonstrate mixed results, but there is reasonable evidence that gender bias may exist in scientific publishing and that double-blinding can mitigate its impact. Further evaluation of the processes in place to create the body of evidence that clinicians and researchers rely on is essential to reduce bias, particularly in female-majority fields such as obstetrics and gynecology.
Why was this study conducted?
This study was conducted to evaluate the impact of double-blind peer review on publication rates by perceived author gender.
Key findings
Data regarding the impact of double-blind peer review on author gender are mixed, but there is reasonable evidence that gender bias exists in scientific publishing and that double-blinding can reduce this.
What does this add to what is known?
There are limited data to support double-blind peer review as a strategy to protect gender equity in scientific journals, but further research is required.
Introduction
Scientific journals are an essential medium to validate and disseminate research findings, and peer review has been the mainstay of this process since the 18th century. Peer review, at its core, bestows a responsibility on a subject-matter peer expert to evaluate the methodological integrity of a study and is the primary mechanism informing editorial decisions about publishing and assuring the quality of journal content. This time-honored practice is, however, inherently fraught with potential biases. Numerous studies investigating the peer review process have demonstrated the tendency of author identity influencing the outcome of a review. Well-known authors from prestigious institutions are susceptible to favoritism, steering reviewers to preferentially evaluate manuscripts on the basis of the author’s academic reputation rather than the presented scientific merit. The manifestations of gender bias in scientific publishing—primarily the differential treatment of similar articles with male vs female authors—have been cataloged in numerous studies examining disparities and inequalities in female authorship. These journal-level gender disparities in the enterprise of scientific academia have wide-ranging implications, including for promotions and candidacy for leadership positions. Addressing biases at this juncture of the scientific process can therefore help cultivate equal opportunities downstream. In addition, gender-based disparities in publication may silence the contributions of women to science, with attendant loss of important scientific perspectives.
Different strategies to mitigate peer review bias have evolved, primarily involving various degrees of blinding or masking the identities of key stakeholders. The most common type of blinding utilized by scientific journals is single blinding, wherein the authors are blinded to the identity of the reviewer. This prevents the reviewer from making decisions on the basis of the potential impact of a relationship with the author or concerns about how the review will impact his or her own career prospects. A less common practice is double-blinding, hiding the author’s identity from the reviewer and the reviewer’s identity from the author. This process prevents any impressions of the manuscript or decisions about publication to be influenced by the identity of the author or reviewer. The practice of double-blind reviewing dates back to the mid-20th century, when it was first adopted formally by select sociology journals. However, the literature on double-blind peer review is conflicted in terms of its actual impact on manuscript scoring after double-blind is compared with single-blind review. This is particularly true regarding the role of double-blinding in preventing potential bias by perceived author gender. In fact, multiple studies from journals across different scientific disciplines have specifically evaluated the performance of double-blind compared with single-blind reviewing in terms of the impact on publication rates by perceived author gender. However, they have produced inconsistent results.
Objective
The purpose of this study, therefore, is to perform a systematic review of both experimental and observational studies evaluating double-blinding and author gender to better ascertain the impact of double-blind peer review on gender bias in scientific publishing. This work will also highlight critical areas for future research investigating quality improvement and equity in the peer review process, which can be directly applied to the obstetrics and gynecology literature.
Methods
Eligibility criteria, information sources, and search strategy
A systematic review of the existing evidence on the effects of double-blind peer review on publication rates by author gender was performed. Initially, an extensive literature search in the PubMed, Embase, Web of Science, and Scopus electronic repositories was conducted. All published literature in the English language from database inception through 2020 was searched, and the search strategy involved the terms “blind,” “peer review,” “gender,” “woman,” and “author” ( Supplemental Table ). The reference lists of relevant articles were also screened to identify further studies that may have been missed in the original search. Clinicaltrials.gov was not searched because the topic being studied was out of scope of that database.
Study selection
Prospective experimental and observational studies comparing double-blind to single-blind peer review strategies that examined the review score or editorial decisions by perceived first author gender were included. Review articles, commentaries, editorials, and letters to the editor were excluded. Studies evaluating publication rates by author gender and editor or reviewer gender but not assessing the practice of double-blinding were also excluded. One additional experimental study evaluating the review of a mock paper with a fabricated author by male and female reviewers was also included as it simulates and explores conditions of potential bias. The search was conducted by 2 independent investigators (A.K.G. and R.J.) to ensure external validity and reproducibility. Both the authors are trained in systematic searching and were supported by or are themselves professional library staff. This systematic review was performed according to a recommended protocol with all methods for data collection and analysis defined a priori . After eliminating duplicates, all references were reviewed on the basis of title and abstract. The full text of each potentially relevant study was then reviewed for inclusion.
Data extraction and synthesis
Data were extracted from full-text articles using a standardized data form. The extracted data were primarily descriptive and included information on study design, sample size, primary outcome, major findings, and scientific discipline. The studies were first characterized broadly into categories on the basis of study design as experimental studies and observational studies. They were then classified according to results as follows: studies that demonstrated a difference in the publication rates of female-authored publications with double-blind review and studies that demonstrated no impact. The method of identifying author gender was also evaluated. No meta-analysis was possible in conjunction with this systematic review, given the wide variety in the types of outcomes reported and the different settings of each study including the scientific discipline and time period.
Assessment of risk of bias
Given the aforementioned study design heterogeneity, no formal risk of bias assessment was performed. The Preferred Reporting Item for Systematic Reviews and Meta-analyses statement was used to describe the results, and the study was registered with the International Prospective Register of Systematic Reviews or PROSPERO.
Results
Study selection and study characteristics
The initial search yielded 1717 titles, and 32 more were identified using citation tracking. Among them, 123 articles assessing gender bias in scientific publishing or double-blinding were reviewed ( Figure ). Of these, 8 studies assessing the practice of double-blind peer review and the impact of perceived author gender were included. Five of these were experimental studies and 3 were observational studies. The full list of included studies by study design is presented in Tables 1 and 2 . In total, these studies evaluated 8253 articles, 5137 of which underwent single-blind review and 3571 underwent double-blind review (some articles underwent both single- and double-blind review on the basis of study design).
Study | Study design | Primary outcome | Sample size | Discipline | Findings |
---|---|---|---|---|---|
Blank, 1991 | Real articles were allocated to single-blind or double-blind review at a 1:1 ratio | Acceptance rate | 832 double-blind articles and 666 single-blind articles (180 female-authored articles, 1266 male-authored articles) | Economics | -For women, there is no significant difference in acceptance rates between single- and double-blinded samples (11.2 vs 10.0%) -For men, the acceptance rates were significantly higher in the single-blind group (15.0% vs 11.0%) |
Borsuk et al, 2009 | Sample paper was distributed with 1 of 4 assigned authorships as follows: (1) no name, (2) first initial only, (3) male name, (4) female name, with a survey to assess the article | “Decision to publish” on survey | 989 respondents | Biology | -Author gender had no effect on the rejection rates ( P =.78) -The referees were not more likely to accept authors of their own gender ( P =.28) |
Carlsson et al, 2012 | Real articles submitted to a conference were randomly assigned to 2 reviewers who were randomized to blind or nonblind peer review | Reviewer score (graded from 1 [reject] to 4 [very good, accept]) | 940 total articles included with 1765 reviews (870 blinded and 895 nonblinded; 487 articles with female first author) | Economics | -Blinding did not have a substantial impact on review scores, and there was no evidence of gender discrimination -Mean score for nonblinded reviews of articles authored by female first authors was 2.57 [N=255] compared with 2.44 for blinded reviews [N=232]) |
Lloyd, 1990 | Fabricated manuscript about educational research sent to 4 groups as follows: (1) male reviewer (with male author), (2) female reviewer (with male author), (3) male reviewer (with female author), (4) female reviewer (with female author) | Editorial recommendation (accept, accept pending revisions, revise and resubmit, reject) | 56 female reviewers, 70 male reviewers | Behavior analysis | -Female reviewers accepted 62% of female-authored and 10% of male-authored manuscripts ( P <.015) -Male reviewers accepted 21% of female-authored and 30% of male- authored manuscripts -Female-authored manuscripts were accepted significantly more often by female than by male reviewers ( P <.02) |
Tomkins et al, 2017 | 4 committee members reviewed each paper for a conference with 2 committee members blinded to author information and 2 unblinded | Review score | 453 articles reviewed by 2 blinded reviewers and 2 unblinded reviewers (1197 male authors and 246 female authors with 48 unknown) | Computer science | -articles whose first author is female (16.4%) and articles written most often by female authors (3.8%) experienced no significant difference in review score |
Study | Study design | Primary outcome | Sample size | Discipline | Findings |
---|---|---|---|---|---|
Cox and Montgomerie, 2019 | Comparison of first author gender in an ecology journal that uses double-blind reviewing to 4 other ecology journals that use single-blind review (2010–2018) | Female first and last authorship | 4865 articles in 5 ecology journals (1576 double-blind review, 3289 single-blind review) | Ecology | -The proportion of female first authorship increased over the study period for all single-blind journals but not in the double-blind journal -The rates of female last-authorship were lower than first authorship and stable across the study period |
Budden et al, 2007 | Comparison of female first authorship before and after introduction of double-blind reviewing in a single journal | Female first authorship | 354 articles from 1997– 2000, 513 articles from 2002–2005 | Ecology | 7.9% increase in female first authors |
Roberts and Verhoef, 2016 | Comparison of rankings of articles submitted to a conference before (2009, 2010) and after (2011) introduction of double-blind review | Paper ranking by author gender | 373 predouble-blind reviewing, 195 postdouble-blind reviewing | Linguistics | 4% increase in ranking of female-authored articles |
The studies utilized a multiplicity of designs. Two experimental studies sent sample manuscripts to peer reviewers and evaluated their recommendations to the editor. One of these—by Lloyd et al—sent a fabricated manuscript about educational research according to the following designations: (1) male reviewer with male-authored manuscript, (2) female reviewer with male-authored manuscript, (3) male reviewer with female-authored manuscript, and (4) female reviewer with female-authored manuscript. The other—by Borsuk et al—sent the same manuscript with 1 of 4 potential authorships—(1) no name, (2) first initial only, (3) male name, and (4) female name—and assessed “reviewer” impressions on an accompanying survey. Another 2 trials sent real articles for review by single or double-blinded reviewers and compared the acceptance rates and review scores. , The fifth study by Carlsson et al used real articles submitted to the European Association of Environmental and Resource Economics annual conference and assigned each paper to 2 reviewers who were randomized to blinded or unblinded review. Of studies reporting the breakdown of perceived author gender, 85.3% of articles were authored by males (2463) and only 14.7% by females (426). , Carlsson et al do not report manuscript-level data but do note that 487 reviews were completed on articles authored by female first authors, 736 on articles with at least 1 female author, 231 on articles with exclusively female authors, and 1029 on articles with all male authors. Three observational studies of individual journal publications before and after switching from single-blind to double-blind reviewing , or directly comparing journals of the same genre that use each type of review were also included in this review.
Synthesis of results
The observational studies by Budden et al and Roberts et al were the only studies to demonstrate increases in the ranking and publishing of articles with women first authors after the introduction of double-blind review. One experimental study found that female-authored manuscripts were more likely to be accepted by female reviewers , and another observational study demonstrated that the acceptance rate for male-authored (but not female-authored) articles was significantly higher with single-blind than double-blind review. In contrast, the remaining 4 articles included in this systematic review—including 3 of the 4 experimental studies—demonstrated no significant impact of double vs single-blind review on editorial decisions by author gender. , , ,
The included studies used heterogenous outcomes, including acceptance rate by perceived gender and reviewer score or ranking, all of which serve as proxies for actual or potential publication. They cover a variety of scientific disciplines including biology, behavior analysis, computer science, ecology, economics, and linguistics, though notably none cover medical. The methods to identify author gender (when relevant on the basis of study design) included perceptions on the basis of name, internet searches, and lexicons of baby names. Authorship was defined as sole or first-authorship, with only 1 study examining last authorship also.
Comment
Principal findings
This is a systematic review of the published evidence assessing the impact of double-blind peer review on the acceptance rates of female first-authorship in scientific journals. There is currently no consensus on best practices for peer review in medical publishing, and the purpose of this study was to identify and review the existing experimental and observational studies assessing the potential role of double-blind review to facilitate gender equity. The findings of this review demonstrate conflicting evidence regarding the impact of double-blind review on peer review decisions by author gender. This may stem from the 30-year time period of these studies, during which social evolution in the scientific community may have altered gender dynamics in publishing or the very disparate disciplines of the included studies. Ultimately, these data corroborate the potential for gender bias in peer review and suggest a benefit of both author and reviewer anonymity in the review process.
Although it is difficult to draw any specific conclusions about the utility of double-blind peer review in reducing gender bias from this array of studies with conflicting results, gender bias is nonetheless a rampant and well-documented problem in medical academia. There is also a logical rationale for considering double-blind review as the gold-standard for unbiased peer review given the inherent inability to provide an unprejudiced review that is only single-blind. In fact, several journals including this have already adopted double-blind review as a policy. Notably, none of the studies of double-blind peer review evaluated here specifically stem from the medical literature. It would be interesting and important to explore the impact of double-blind peer review on author gender in a contemporary medical journal. This would be of particular interest in the field of obstetrics and gynecology, a discipline dedicated to women’s health and where 85% of physicians and an even higher percentage of nurses and advanced practice providers are women.
Comparison with existing literature
Numerous previous reviews have examined longstanding gender inequality in science academia generally and the publishing of scientific literature specifically. An interesting study from 2012 by Moss-Racusin et al asked science faculty members to rank identical lab manager applications; they were randomized to applications with either the first name “John” or “Jennifer.” The “John” applications consistently scored higher than “Jennifer” applications across all areas (competency, hiring potential, and worthy of mentorship) except likability, regardless of the faculty characteristics (age, gender, subspecialty, and seniority), and the “Johns” were offered a salary of $5000 higher on average. Studies such as this demonstrate the prevalence of unconscious gender bias in the otherwise discerning and data-driven scientific world and suggests a possible role for more rigorous blinding in scientific publishing to eliminate such bias. A large study published in 2019 examining more than 23,000 manuscripts submitted to 6 ecology journals from 2010 to 2015 evaluated differential rates in review score, editorial decision-making, and subsequent citations by gender. Although results suggested different scores and publications rates for articles on the basis of author gender, it is difficult to draw meaningful conclusions from studies such as this without controlling for manuscript quality.
Inconclusive evidence exists about the value of double-blind peer review in general. In a systematic review and meta-analysis of 6 randomized controlled trials encompassing 564 manuscripts, Bruce et al found no impact on the quality of the review report or the rejection rate with double-blinding. However, they noted that the confidence interval was wide (0.39– 1.50), with considerable heterogeneity among the different studies. A Cochrane review on the subject of quality improvements to the peer review process similarly found no definitive evidence supporting the benefit of author or reviewer concealment on the disposition of a manuscript (evaluating 9 studies total including both prospective and retrospective studies). Numerous other blinding-related interventions to improve the quality and integrity of the peer review process have also been developed, including triple-blind review, wherein the editor is also blinded to author identity, and open review, the radical opposite, in which all identities are unblinded including the reviewer. Both the processes are intended to increase accountability and fairness in the review process, but there are even less data supporting these practices than for double-blinding.
The challenges inherent in a double-blind peer review system have also been elucidated previously. These include the difficulty of actually maintaining author anonymity, particularly in smaller subspecialty fields where authors and reviewers are more likely to know each other personally, collaborate, or share prepublished work at conferences. The nature of some studies may also render it impossible to truly blind them to the institutional backdrop. Nonetheless, authors, reviewers, and editors have expressed preference for the double-blind review process over other attempts to eliminate bias such as open review. ,
Future directions for research in this area involve conducting further prospective studies to evaluate the performance of double-blind peer review in obstetrics and gynecology. This can involve well-designed randomized controlled trials of a “mock” paper submitted to groups of reviewers who are single-blinded with fictitious female authorship, single-blinded with fictitious male authorship, and double-blinded to compare reviewer scoring. Journals considering transitioning to double-blind peer review or interested in trialing this practice can also perform pre or post comparisons of female authorship and acceptance rates from groups of reviewers who are single- vs double-blinded. Studies of this nature unfortunately have no ability to control for manuscript quality or other confounding factors such as author or institutional prestige, reviewers’ personal interest in the work, and seniority, among others. Similarly, studies of review strategies that would allow authors or reviewers to opt-in to double-blind review introduce likely insurmountable selection biases. It may also be valuable to explore the role of other methodologies such as explicit and implicit bias training for mitigating bias and their impact on gender equity in peer review and publishing.
Strengths and limitations
The limitations of this study include the substantial inherent differences between the included studies, as discussed earlier, and the inability to formally analyze metaoutcomes. Although some of the studies used experimental or even randomized trial designs representing the highest level of evidence, others were retrospective in nature. The earliest included studies also date back to the 1990s, and the circumstances of potential gender bias at that time may not be generalizable to the present day. Furthermore, none of the studies actually assess the performance of double-blind peer review in a medical journal. Finally, author gender was not identified on the basis of self-report but rather by reviewer, editor, or investigator perception on the basis of author name, which rests on assumptions and biases and may precipitate inaccuracies. The strengths of this study include the fact that this is a comprehensive and systematic review of experimental and observational studies assessing the effect of double-blind peer review on potential gender bias in scientific publishing. It is especially important to disseminate these findings to an obstetrician and gynecologist audience. A previous commentary in a major obstetrics and gynecology journal has already called for the field to reconsider the common practice of single-blind review, and this study furnishes the evidentiary backdrop for further evaluations of double-blind review in the obstetrical and gynecologic literature. Because the existing body of literature examined here derives entirely from nonmedical scientific publications, it is essential that medical journals—including in obstetrics and gynecology specifically—promote further research to examine the gender-related outcomes of any current and potential future peer review practices.
Conclusions and implications
The impact of double-blind compared with single-blind peer review on author gender remains unclear from the published evidence, but half of the studies included in this systematic review reported evidence of gender bias with single compared with double-blind peer review. Therefore, these limited data support double over single-blind peer review to eliminate or at least decrease gender bias. This is particularly important for scientific progress in the field of obstetrics and gynecology, where most of the practitioners and researchers are women. Although reason dictates that double-blind peer review may have significant advantages over single-blind review in terms of reducing gender or other biases, it is unclear how this might work with a contemporary author population in a medical journal. Peer review remains the mainstay of scientific self-regulation and quality assurance, and it is essential that this process itself be subject to rigorous scientific inquiry to assure optimal performance. This study’s findings lay a foundation for future work in this area to identify evidence-based practices for peer review and establish industry standards for best practices to ensure equity.
Appendix
Section and Topic | Item # | Checklist item | Location where item is reported |
---|---|---|---|
TITLE | |||
Title | 1 | Identify the report as a systematic review. | Title |
ABSTRACT | |||
Abstract | 2 | See the PRISMA 2020 for Abstracts checklist. | Abstract |
INTRODUCTION | |||
Rationale | 3 | Describe the rationale for the review in the context of existing knowledge. | Pages 4-5 |
Objectives | 4 | Provide an explicit statement of the objective(s) or question(s) the review addresses. | Page 5 |
METHODS | |||
Eligibility criteria | 5 | Specify the inclusion and exclusion criteria for the review and how studies were grouped for the syntheses. | Pages 5-6 |
Information sources | 6 | Specify all databases, registers, websites, organisations, reference lists and other sources searched or consulted to identify studies. Specify the date when each source was last searched or consulted. | Page 5 |
Search strategy | 7 | Present the full search strategies for all databases, registers and websites, including any filters and limits used. | Supplemental Table |
Selection process | 8 | Specify the methods used to decide whether a study met the inclusion criteria of the review, including how many reviewers screened each record and each report retrieved, whether they worked independently, and if applicable, details of automation tools used in the process. | Page 6 |
Data collection process | 9 | Specify the methods used to collect data from reports, including how many reviewers collected data from each report, whether they worked independently, any processes for obtaining or confirming data from study investigators, and if applicable, details of automation tools used in the process. | Page 6 |
Data items | 10a | List and define all outcomes for which data were sought. Specify whether all results that were compatible with each outcome domain in each study were sought (e.g. for all measures, time points, analyses), and if not, the methods used to decide which results to collect. | Pages 6-7 |
10b | List and define all other variables for which data were sought (e.g. participant and intervention characteristics, funding sources). Describe any assumptions made about any missing or unclear information. | Pages 6-7 | |
Study risk of bias assessment | 11 | Specify the methods used to assess risk of bias in the included studies, including details of the tool(s) used, how many reviewers assessed each study and whether they worked independently, and if applicable, details of automation tools used in the process. | Page 7 |
Effect measures | 12 | Specify for each outcome the effect measure(s) (e.g. risk ratio, mean difference) used in the synthesis or presentation of results. | N/A |
Synthesis methods | 13a | Describe the processes used to decide which studies were eligible for each synthesis (e.g. tabulating the study intervention characteristics and comparing against the planned groups for each synthesis (item #5)). | N/A |
13b | Describe any methods required to prepare the data for presentation or synthesis, such as handling of missing summary statistics, or data conversions. | N/A | |
13c | Describe any methods used to tabulate or visually display results of individual studies and syntheses. | Pages 8-9 | |
13d | Describe any methods used to synthesize results and provide a rationale for the choice(s). If meta-analysis was performed, describe the model(s), method(s) to identify the presence and extent of statistical heterogeneity, and software package(s) used. | N/A | |
13e | Describe any methods used to explore possible causes of heterogeneity among study results (e.g. subgroup analysis, meta-regression). | N/A | |
13f | Describe any sensitivity analyses conducted to assess robustness of the synthesized results. | N/A | |
Reporting bias assessment | 14 | Describe any methods used to assess risk of bias due to missing results in a synthesis (arising from reporting biases). | N/A |
Certainty assessment | 15 | Describe any methods used to assess certainty (or confidence) in the body of evidence for an outcome. | N/A |
RESULTS | |||
Study selection | 16a | Describe the results of the search and selection process, from the number of records identified in the search to the number of studies included in the review, ideally using a flow diagram. | Figure 1 |
16b | Cite studies that might appear to meet the inclusion criteria, but which were excluded, and explain why they were excluded. | N/A | |
Study characteristics | 17 | Cite each included study and present its characteristics. | Tables 1 and 2 |
Risk of bias in studies | 18 | Present assessments of risk of bias for each included study. | N/A |
Results of individual studies | 19 | For all outcomes, present, for each study: (a) summary statistics for each group (where appropriate) and (b) an effect estimate and its precision (e.g. confidence/credible interval), ideally using structured tables or plots. | N/A |
Results of syntheses | 20a | For each synthesis, briefly summarise the characteristics and risk of bias among contributing studies. | N/A |
20b | Present results of all statistical syntheses conducted. If meta-analysis was done, present for each the summary estimate and its precision (e.g. confidence/credible interval) and measures of statistical heterogeneity. If comparing groups, describe the direction of the effect. | N/A | |
20c | Present results of all investigations of possible causes of heterogeneity among study results. | N/A | |
20d | Present results of all sensitivity analyses conducted to assess the robustness of the synthesized results. | N/A | |
Reporting biases | 21 | Present assessments of risk of bias due to missing results (arising from reporting biases) for each synthesis assessed. | N/A |
Certainty of evidence | 22 | Present assessments of certainty (or confidence) in the body of evidence for each outcome assessed. | N/A |
DISCUSSION | |||
Discussion | 23a | Provide a general interpretation of the results in the context of other evidence. | Page 11 |
23b | Discuss any limitations of the evidence included in the review. | Page 13 | |
23c | Discuss any limitations of the review processes used. | Page 13 | |
23d | Discuss implications of the results for practice, policy, and future research. | Page 14 | |
OTHER INFORMATION | |||
Registration and protocol | 24a | Provide registration information for the review, including register name and registration number, or state that the review was not registered. | Title page |
24b | Indicate where the review protocol can be accessed, or state that a protocol was not prepared. | N/A | |
24c | Describe and explain any amendments to information provided at registration or in the protocol. | N/A | |
Support | 25 | Describe sources of financial or non-financial support for the review, and the role of the funders or sponsors in the review. | N/A |
Competing interests | 26 | Declare any competing interests of review authors. | N/A |
Availability of data, code and other materials | 27 | Report which of the following are publicly available and where they can be found: template data collection forms; data extracted from included studies; data used for all analyses; analytic code; any other materials used in the review. | N/A |