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Toolkit of methodological resources to conduct systematic reviews.

ABSTRACT: Background: Systematic reviews (SR) can be classified by type depending on the research question they are based on. This work identifies and describes the most relevant methodological resources to conduct high-quality reviews that answer health care questions regarding prevalence, prognosis, diagnostic accuracy and effects of interventions. Methods: Methodological resources have been identified from literature searches and consulting guidelines from institutions that develop SRs. The selected resources are organized by type of SR, and stage of development of the review (formulation of the research question, development of the protocol, literature search, risk of bias assessment, synthesis of findings, assessment of the quality of evidence, and report of SR results and conclusions). Results: Although the different types of SRs are developed following the same steps, each SR type requires specific methods, differing in characteristics and complexity. The extent of methodological development varies by type of SR, with more solid guidelines available for diagnostic accuracy and effects of interventions SRs. This methodological toolkit describes the most up-to-date risk of bias instruments: Quality in Prognostic Studies (QUIPS) tool and Prediction model study Risk Of Bias Assessment Tool (PROBAST) for prognostic SRs, Quality assessment of diagnostic accuracy studies tool (QUADAS-2) for diagnostic accuracy SRs, Cochrane risk of bias tool (ROB-2) and Risk of bias in non-randomised studies of interventions studies tool (ROBINS-I) for effects of interventions SRs, as well as the latest developments on the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system. Conclusions: This structured compilation of the best methodological resources for each type of SR may prove to be a very useful tool for those researchers that wish to develop SRs or conduct methodological research works on SRs.

SUBMITTER: Roque M

PROVIDER: S-EPMC7542253 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Toolkit of methodological resources to conduct systematic reviews.

Roqué Marta M Martínez-García Laura L Solà Ivan I Alonso-Coello Pablo P Bonfill Xavier X Zamora Javier J

F1000Research 20200204

<b>Background:</b> Systematic reviews (SR) can be classified by type depending on the research question they are based on. This work identifies and describes the most relevant methodological resources to conduct high-quality reviews that answer health care questions regarding prevalence, prognosis, diagnostic accuracy and effects of interventions. <b>Methods:</b> Methodological resources have been identified from literature searches and consulting guidelines from institutions that develop SRs. T ...[more]

PMID: 33082931

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Project description:BackgroundThe screening process for systematic reviews and meta-analyses in medical research is a labor-intensive and time-consuming task. While machine learning and deep learning have been applied to facilitate this process, these methods often require training data and user annotation. This study aims to assess the efficacy of ChatGPT, a large language model based on the Generative Pretrained Transformers (GPT) architecture, in automating the screening process for systematic reviews in radiology without the need for training data.MethodsA prospective simulation study was conducted between May 2nd and 24th, 2023, comparing ChatGPT's performance in screening abstracts against that of general physicians (GPs). A total of 1198 abstracts across three subfields of radiology were evaluated. Metrics such as sensitivity, specificity, positive and negative predictive values (PPV and NPV), workload saving, and others were employed. Statistical analyses included the Kappa coefficient for inter-rater agreement, ROC curve plotting, AUC calculation, and bootstrapping for p-values and confidence intervals.ResultsChatGPT completed the screening process within an hour, while GPs took an average of 7-10 days. The AI model achieved a sensitivity of 95% and an NPV of 99%, slightly outperforming the GPs' sensitive consensus (i.e., including records if at least one person includes them). It also exhibited remarkably low false negative counts and high workload savings, ranging from 40 to 83%. However, ChatGPT had lower specificity and PPV compared to human raters. The average Kappa agreement between ChatGPT and other raters was 0.27.ConclusionsChatGPT shows promise in automating the article screening phase of systematic reviews, achieving high sensitivity and workload savings. While not entirely replacing human expertise, it could serve as an efficient first-line screening tool, particularly in reducing the burden on human resources. Further studies are needed to fine-tune its capabilities and validate its utility across different medical subfields.

Project description:BACKGROUND: Systematic reviews (SRs) must be of high quality. The purpose of our research was to compare the methodological and reporting quality of original versus updated Cochrane SRs to determine whether updating had improved these two quality dimensions. METHODS: We identified updated Cochrane SRs published in issue 4, 2002 of the Cochrane Library. We assessed the updated and original versions of the SRs using two instruments: the 10 item enhanced Overview Quality Assessment Questionnaire (OQAQ), and an 18-item reporting quality checklist and flow chart based upon the Quality of Reporting of Meta-analyses (QUOROM) statement. At least two reviewers extracted data and assessed quality. We calculated the percentage (with a 95% confidence interval) of 'yes' answers to each question. We calculated mean differences in percentage, 95% confidence intervals and p-values for each of the individual items and the overall methodological quality score of the updated and pre-updated versions using OQAQ. RESULTS: We assessed 53 SRs. There was no significant improvement in the global quality score of the OQAQ (mean difference 0.11 (-0.28; 0.70 p = 0.52)). Updated reviews showed a significant improvement of 18.9 (7.2; 30.6 p < .01) on the OQAQ item assessing whether the conclusions drawn by the author(s) were supported by the data and/or analysis presented in the SR. The QUOROM statement showed that the quality of reporting of Cochrane reviews improved in some areas with updating. Improvements were seen on the items relating to data sources reported in the abstract, with a significant difference of 17.0 (9.8; 28.7 p = 0.01), review methods, reported in the abstract 35 (24.1; 49.1 p = 0.00), searching methods 18.9 (9.7; 31.6 p = 0.01), and data abstraction 18.9 (11.7; 30.9 p = 0.00). CONCLUSION: The overall quality of Cochrane SRs is fair-to-good. Although reporting quality improved on certain individual items there was no overall improvement seen with updating and methodological quality remained unchanged. Further improvement of quality of reporting is possible. There is room for improvement of methodological quality as well. Authors updating reviews should address identified methodological or reporting weaknesses. We recommend to give full attention to both quality domains when updating SRs.

Project description:BACKGROUND:There is a notable lack of methodological and reporting guidance for systematic reviews of prevalence data. This information void has the potential to result in reviews that are inconsistent and inadequate to inform healthcare policy and decision making. The aim of this meta-epidemiological study is to describe the methodology of recently published prevalence systematic reviews. METHODS:We searched MEDLINE (via PubMed) from February 2017 to February 2018 for systematic reviews of prevalence studies. We included systematic reviews assessing the prevalence of any clinical condition using patients as the unit of measurement and we summarized data related to reporting and methodology of the reviews. RESULTS:A total of 235 systematic reviews of prevalence were analyzed. The median number of authors was 5 (interquartile range [IQR] 4-7), the median number of databases searched was 4 (3-6) and the median number of studies included in each review was 24 (IQR 15-41.5). Search strategies were presented for 68% of reviews. Forty five percent of reviews received external funding, and 24% did not provide funding information. Twenty three percent of included reviews had published or registered the systematic review protocol. Reporting guidelines were used in 72% of reviews. The quality of included studies was assessed in 80% of reviews. Nine reviews assessed the overall quality of evidence (4 using GRADE). Meta-analysis was conducted in 65% of reviews; 1% used Bayesian methods. Random effect meta-analysis was used in 94% of reviews; among them, 75% did not report the variance estimator used. Among the reviews with meta-analysis, 70% did not report how data was transformed; 59% percent conducted subgroup analysis, 38% conducted meta-regression and 2% estimated prediction interval; I2 was estimated in 95% of analysis. Publication bias was examined in 48%. The most common software used was STATA (55%). CONCLUSIONS:Our results indicate that there are significant inconsistencies regarding how these reviews are conducted. Many of these differences arose in the assessment of methodological quality and the formal synthesis of comparable data. This variability indicates the need for clearer reporting standards and consensus on methodological guidance for systematic reviews of prevalence data.

Project description:BackgroundSystematic reviews of in-vitro studies, like any other study, can be of heterogeneous quality. The present study aimed to evaluate the methodological quality of systematic reviews of in-vitro dental studies.MethodsWe searched for systematic reviews of in-vitro dental studies in PubMed, Web of Science, and Scopus databases published up to January 2022. We assessed the methodological quality of the systematic reviews using a modified "A MeaSurement Tool to Assess systematic Reviews" (AMSTAR-2) instrument. The 16 items, in the form of questions, were answered with yes, no, or py (partial yes). Univariable and multivariable linear regression models were used to examine the association between systematic review characteristics and AMSTAR-2 percent score. Overall confidence in the results of the systematic reviews was rated, based on weaknesses identified in critical and non-critical AMSTAR-2 items.ResultsThe search retrieved 908 potential documents, and after following the eligibility criteria, 185 systematic reviews were included. The most researched topics were ceramics and dental bonding. The overall rating for the confidence in the results was critically low in 126 (68%) systematic reviews. There was high variability in the response among the AMSTAR-2 items (0% to 75% positively answered). The univariable analyses indicated dental specialty (p = 0.03), number of authors (coef: 1.87, 95% CI: 0.26, 3.47, p = 0.02), and year of publication (coef: 2.64, 95% CI: 1.90, 3.38, p < 0.01) were significantly associated with the AMSTAR-2 percent score. Whereas, in the multivariable analysis only specialty (p = 0.01) and year of publication (coef: 2.60, 95% CI: 1.84, 3.35, p < 0.001) remained significant. Among specialties, endodontics achieved the highest AMSTAR-2 percent score.ConclusionsThe methods of systematic reviews of in vitro dental studies were suboptimal. Year of publication and dental specialty were associated with AMSTAR-2 scores. The overall rating of the confidence in the results was low and critically low for most systematic reviews.

Project description:BackgroundSystematic reviews (SRs) with or without meta-analyses (MAs) are widely used in resolving questions in various healthcare areas (such as, traditional Chinese medicine, public health and surgery), and they are the cornerstone of evidence-based healthcare. However, the reliability of SRs is typically influenced by their methodological quality. AMSTAR (A Measurement Tool to Assess Systematic Reviews) and AMSTAR-2 tools can assess the methodological quality of SRs, and the use of AMSTAR has been investigated. However, AMSTAR-2 is now widely used to evaluate the methodological quality of SRs, but the use of AMSTAR-2 for determining the methodological quality of SRs has not yet been investigated and assessed thoroughly. Thus, we designed the present study to investigate the use of AMSTAR-2 in studies that assessed the methodological quality of a sample of SRs with the AMSTAR-2 and provide references to potential users of AMSTAR-2 tool.MethodsFour commonly used electronic databases including PubMed, EmBase, the Cochrane Library, and Web of Science will be searched following a comprehensive search strategy to identify and retrieve studies that have used AMSTAR-2 tool for evaluating the methodological quality of SRs. Two independent authors will retrieve bibliometric information and methodological data, including all author names, time of publication, and journal names, whether a specific score value was given for each item, and whether overall quality assessment was performed. Descriptive statistical analyses will be used to present the study results, e.g., frequencies and percentages, mean and standard deviation (SD) or median and interquartile range (IQR). In addition, subgroup analyses will be performed to identify the methodological differences (e.g., the reporting of study designs included in SRs) between overviews and methodological studies. The risk ratio (RR) with 95% confidence interval (95% CI) will be calculated to measure the methodological differences. Cytoscape 3.7.1 software tool will be used to construct collaboration network maps. Further, Microsoft Office Excel 2016 and Stata 12.0 will be used to manage and analyze data.DiscussionThe results of this study will identify any gaps in the use of AMSTAR-2 and important bibliometric features, such as active researchers and journals, provide guidance to researchers in various healthcare areas (such as, traditional Chinese medicine and public health) for using AMSTAR-2 tool and help them in developing cooperation and submitting their manuscripts.

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Toolkit of methodological resources to conduct systematic reviews.

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Toolkit of methodological resources to conduct systematic reviews.

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