Dataset Information

Evaluating Breast Reconstruction Reviews Using A Measurement Tool to Assess Systematic Reviews (AMSTAR)

ABSTRACT:

Background:

Breast reconstruction is an important aspect in breast cancer treatment.

Methods:

A comprehensive search of MEDLINE, Embase, and the Cochrane Library of Systematic Reviews was performed. Systematic reviews and meta-analyses that focused on breast reconstruction and were published between 2000 and 2020 were included. Quality assessment was performed using A Measurement Tool to Assess Systematic Reviews (AMSTAR). Study characteristics were extracted, including journal and impact factor, year of publication, country affiliation, reporting adherence to Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines, number of citations, and number of studies included.

Results:

The average AMSTAR score was moderate (5.32). There was a significant increase in AMSTAR score (P < 0.01) and number of studies (P < 0.01) over time. There were no significant correlations between AMSTAR score and impact factor (P = 0.038), and AMSTAR score and number of citations (P = 0.52), but there was a significant association between AMSTAR score and number of studies (P = 0.013). Studies that adhered to the PRISMA statement had a higher AMSTAR score on average (P < 0.01).

Conclusions:

Systematic reviews and meta-analyses about breast reconstruction had, on average, a moderate AMSTAR score. The number of studies and methodological quality have increased over time. Study characteristics including adherence to PRISMA guidelines are associated with improved methodological quality. Further improvements in specific AMSTAR domains would improve the overall methodological quality.

SUBMITTER: Yuan M

PROVIDER: S-EPMC8604032 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundOverviews of reviews (overviews) compile information from multiple systematic reviews (SRs) to provide a single synthesis of relevant evidence for decision-making. It is recommended that authors assess and report the methodological quality of SRs in overviews-for example, using A MeaSurement Tool to Assess systematic Reviews (AMSTAR). Currently, there is variation in whether and how overview authors assess and report SR quality, and limited guidance is available. Our objectives were to: examine methodological considerations involved in using AMSTAR to assess the quality of Cochrane and non-Cochrane SRs in overviews of healthcare interventions; identify challenges (and develop potential decision rules) when using AMSTAR in overviews; and examine the potential impact of considering methodological quality when making inclusion decisions in overviews.MethodsWe selected seven overviews of healthcare interventions and included all SRs meeting each overview's inclusion criteria. For each SR, two reviewers independently conducted AMSTAR assessments with consensus and discussed challenges encountered. We also examined the correlation between AMSTAR assessments and SR results/conclusions.ResultsNinety-five SRs were included (30 Cochrane, 65 non-Cochrane). Mean AMSTAR assessments (9.6/11 vs. 5.5/11; p < 0.001) and inter-rater reliability (AC1 statistic: 0.84 vs. 0.69; "almost perfect" vs. "substantial" using the Landis & Koch criteria) were higher for Cochrane compared to non-Cochrane SRs. Four challenges were identified when applying AMSTAR in overviews: the scope of the SRs and overviews often differed; SRs examining similar topics sometimes made different methodological decisions; reporting of non-Cochrane SRs was sometimes poor; and some non-Cochrane SRs included other SRs as well as primary studies. Decision rules were developed to address each challenge. We found no evidence that AMSTAR assessments were correlated with SR results/conclusions.ConclusionsResults indicate that the AMSTAR tool can be used successfully in overviews that include Cochrane and non-Cochrane SRs, though decision rules may be useful to circumvent common challenges. Findings support existing recommendations that quality assessments of SRs in overviews be conducted independently, in duplicate, with a process for consensus. Results also suggest that using methodological quality to guide inclusion decisions (e.g., to exclude poorly conducted and reported SRs) may not introduce bias into the overview process.

Project description:BACKGROUND:Systematic reviews (SRs) in the field of neuropathic pain (NeuP) are increasingly important for decision-making. However, methodological flaws in SRs can reduce the validity of conclusions. Hence, it is important to assess the methodological quality of NeuP SRs critically. Additionally, it remains unclear which assessment tool should be used. We studied the methodological quality of SRs published in the field of NeuP and compared two assessment tools. METHODS:We systematically searched 5 electronic databases to identify SRs of randomized controlled trials of interventions for NeuP available up to March 2015. Two independent reviewers assessed the methodological quality of the studies using the Assessment of Multiple Systematic Reviews (AMSTAR) and the revised AMSTAR (R-AMSTAR) tools. The scores were converted to percentiles and ranked into 4 grades to allow comparison between the two checklists. Gwet's AC1 coefficient was used for interrater reliability assessment. RESULTS:The 97 included SRs had a wide range of methodological quality scores (AMSTAR median (IQR): 6 (5-8) vs. R-AMSTAR median (IQR): 30 (26-35)). The overall agreement score between the 2 raters was 0.62 (95% CI 0.39-0.86) for AMSTAR and 0.62 (95% CI 0.53-0.70) for R-AMSTAR. The 31 Cochrane systematic reviews (CSRs) were consistently ranked higher than the 66 non-Cochrane systematic reviews (NCSRs). The analysis of individual domains showed the best compliance in a comprehensive literature search (item 3) on both checklists. The results for the domain that was the least compliant differed: conflict of interest (item 11) was the item most poorly reported on AMSTAR vs. publication bias assessment (item 10) on R-AMSTAR. A high positive correlation between the total AMSTAR and R-AMSTAR scores for all SRs, as well as for CSRs and NCSRs, was observed. CONCLUSIONS:The methodological quality of analyzed SRs in the field of NeuP was not optimal, and CSRs had a higher quality than NCSRs. Both AMSTAR and R-AMSTAR tools produced comparable quality ratings. Our results point out to weaknesses in the methodology of existing SRs on interventions for the management NeuP and call for future improvement by better adherence to analyzed quality checklists, either AMSTAR or R-AMSTAR.

Project description:BackgroundIn 2007, AMSTAR (A MeaSurement Tool to Assess systematic Reviews), a critical appraisal tool for systematic reviews (SRs), was published, and it has since become one of the most widely used instruments for SR appraisal. In September 2017, AMSTAR 2 was published as an updated version of the tool. This mixed-methods study aimed to analyze the extent of the AMSTAR 2 uptake and explore potential barriers to its uptake.MethodsWe analyzed the frequency of AMSTAR or AMSTAR 2 use in articles published in 2018, 2019 and 2020. We surveyed authors who have used AMSTAR but not AMSTAR 2 in the analyzed time frame to identify their reasons and barriers. The inclusion criterion for those authors was that the month of manuscript submission was after September 2017, i.e. after AMSTAR 2 was published.ResultsWe included 871 studies. The majority (N = 451; 52%) used AMSTAR 2, while 44% (N = 382) used AMSTAR, 4% (N = 31) used R-AMSTAR and others used a combination of tools. In 2018, 81% of the analyzed studies used AMSTAR, while 16% used AMSTAR 2. In 2019, 52% used AMSTAR, while 44% used AMSTAR 2. Among articles published in 2020, 28% used AMSTAR, while AMSTAR 2 was used by 69%. An author survey indicated that the authors did not use AMSTAR 2 mostly because they were not aware of it, their protocol was already established, or data collection completed at the time when the new tool was published. Barriers towards AMSTAR 2 use were lack of quantitative assessment, insufficient awareness, length, difficulties with a specific item.ConclusionIn articles published in 2018-2020, that were submitted to a journal after AMSTAR 2 tool was published, almost half of the authors (44%) still used AMSTAR, the old version of the tool. However, the use of AMSTAR has been declining in each subsequent year. Our survey indicated that editors and peer-reviewers did not ask the authors to use the new version of the tool. Few barriers towards using AMSTAR 2 were identified, and thus it is anticipated that the use of the old version of AMSTAR will continue to decline.

Project description:BackgroundAMSTAR-2 ('A Measurement Tool to Assess Systematic Reviews, version 2') and ROBIS ('Risk of Bias in Systematic Reviews') are independent instruments used to assess the quality of conduct of systematic reviews/meta-analyses (SR/MAs). The degree of overlap in methodological constructs together with the reliability and any methodological gaps have not been systematically assessed and summarized in the field of nutrition.MethodsWe performed a systematic survey of MEDLINE, EMBASE, and the Cochrane Library for SR/MAs published between January 2010 and November 2018 that examined the effects of any nutritional intervention/exposure for cancer prevention. We followed a systematic review approach including two independent reviewers at each step of the process. For AMSTAR-2 (16 items) and ROBIS (21 items), we assessed the similarities, the inter-rater reliability (IRR) and any methodological limitations of the instruments. Our protocol for the survey was registered in PROSPERO (CRD42019121116).ResultsWe found 4 similar domain constructs based on 11 comparisons from a total of 12 AMSTAR-2 and 14 ROBIS items. Ten comparisons were considered fully overlapping. Based on Gwet's agreement coefficients, six comparisons provided almost perfect (> 0.8), three substantial (> 0.6), and one a moderate level of agreement (> 0.4). While there is considerable overlap in constructs, AMSTAR-2 uniquely addresses explaining the selection of study designs for inclusion, reporting on excluded studies with justification, sources of funding of primary studies, and reviewers' conflict of interest. By contrast, ROBIS uniquely addresses appropriateness and restrictions within eligibility criteria, reducing risk of error in risk of bias (RoB) assessments, completeness of data extracted for analyses, the inclusion of all necessary studies for analyses, and adherence to predefined analysis plan.ConclusionsAmong the questions on AMSTAR-2 and ROBIS, 70.3% (26/37 items) address the same or similar methodological constructs. While the IRR of these constructs was moderate to perfect, there are unique methodological constructs that each instrument independently addresses. Notably, both instruments do not address the reporting of absolute estimates of effect or the overall certainty of the evidence, items that are crucial for users' wishing to interpret the importance of SR/MA results.