ArticleBMC medical research methodology2018
Quality assessment of systematic reviews on total hip or knee arthroplasty using mod-AMSTAR.
Article in BMC medical research methodology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Methodological quality of systematic reviews in dentistry including animal studies: a cross-sectional study.Irish veterinary journal · 2023Article
- Article
- Journal impact factor is associated with PRISMA endorsement, but not with the methodological quality of low back pain systematic reviews: a methodological review.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2020Review
- Methodological steps used by authors of systematic reviews and meta-analyses of clinical trials: a cross-sectional study.BMC medical research methodology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIncreasing numbers of systematic reviews (SRs) on total knee arthroplasty (TKA) and total hip arthroplasty (THA) have been published in recent years, but their quality has been unclear. The purpose of this study is to evaluate the methodological quality of SRs on TKA and THA.
methodsWe searched Ovid-Medline, Ovid-Embase, Cochrane Databases (including HTA, DARE, and CDSR), CBM, CNKI, Wang Fang, and VIP, from January 2014 to December 2015 for THA and TKA. The quality of SRs was assessed using the modified 25-item "Assessment of Multiple Systematic Reviews" (mod-AMSTAR) tool, which was based on the AMSTAR scale. A T-test, nonparametric test, and linear regression were conducted to assess the relationship between bibliographical characteristics and methodological quality.
resultsSixty-three SRs were included, from which the majority of SRs (50, 79.4%) were conducted in Asia. Only 4 reviews were rated as high quality, and most were weak in providing a priori design (6, 9.5%), not limiting the publication type (8, 13%), providing an excluded primary studies list (4, 6.3%) and reporting support for the included primary studies (1, 1.6%). Reviews published in English journals performed better than did Chinese journals in duplicate data extraction (81.3% vs 46.7%, p = 0.017; 70.8% vs 33.3%, p = 0.009) and providing source of support for the SR (87.5% vs 33.3%, P < 0.001). Reviews published in journals with a higher impact factor were associated with a higher mod-AMSTAR score (regression coefficient: 0.38, 95%CI: 0.11-0.65; P = 0.006).
conclusionThe methodological quality of the included SRs is far from satisfactory. Authors of SRs should conform to the recommendations outlined in the mod-AMSTAR items. Areas needing improvement were providing a priori design, not limiting the publication type, providing an excluded primary studies list, and reporting conflicts of interest.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.