ArticleInternational journal of environmental research and public health2022
Predictors of Higher Quality of Systematic Reviews Addressing Nutrition and Cancer Prevention.
Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
2 citing papers in PubMed, 6 citations in OpenAlex.
- Article
- Reporting quality of abstracts of systematic reviews/meta-analyses: An appraisal of Arab Journal of Urology across 12 years: the PRISMA-Abstracts checklist.Arab journal of urology · 2023Article
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Authors and funding
13 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Systematic reviews/meta-analyses (SR/MAs) are considered a reliable source of information in healthcare. We aimed to explore the association of several characteristics of SR/MAs addressing nutrition in cancer prevention and their quality/risk of bias (using assessments from AMSTAR-2 and ROBIS tools). The analysis included 101 SR/MAs identified in a systematic survey. Associations of each specified characteristic (e.g., information about the protocol, publication year, reported use of GRADE, or other methods for assessing overall certainty of evidence) with the number of AMSTAR-2 not met ('No' responses) and the number of ROBIS items met ('Probably Yes' or "Yes' responses) were examined. Poisson regression was used to identify predictors of the number of 'No' answers (indicating lower quality) for all AMSTAR-2 items and the number of 'Yes' or 'Probably Yes' answers (indicating higher quality/lower concern for bias) for all ROBIS items. Logistic regression was used to identify variables associated with at least one domain assessed as 'low concern for bias' in the ROBIS tool. In multivariable analysis, SR/MAs not reporting use of any quality/risk of bias assessment instrument for primary studies were associated with a higher number of 'No' answers for all AMSTAR-2 items (incidence rate ratio (IRR) 1.26, 95% confidence interval (CI) 1.09-1.45), and a lower number of 'Yes' or 'Probably Yes' answers for all ROBIS items (IRR 0.76, 95% CI 0.66-0.87). Providing information about the protocol and search for unpublished studies was associated with a lower number of 'No' answers (IRR 0.73, 95% CI 0.56-0.97 and IRR 0.75, 95% CI 0.59-0.95, respectively) and a higher number of 'Yes' or 'Probably Yes' answers (IRR 1.43, 95% CI 1.17-1.74 and IRR 1.28, 95% CI 1.07-1.52, respectively). Not using at least one quality/risk of bias assessment tool for primary studies within an SR/MA was associated with lower odds that a study would be assessed as 'low concern for bias' in at least one ROBIS domain (odds ratio 0.061, 95% CI 0.007-0.527). Adherence to methodological standards in the development of SR/MAs was associated with a higher overall quality of SR/MAs addressing nutrition for cancer prevention.
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