Objectives: A measurement tool to assess systematic reviews (SRs) 2 (AMSTAR 2) allows for deriving the overall confidence in an SR. We investigated how authors derived the overall confidence rating and whether different schemes lead to different results.
Study Design And Setting: We compared three different schemes (original 7-item scheme, a self-developed 5-item scheme, and the AMSTAR Web site) to derive the overall confidence in AMSTAR 2 using two distinct samples of SRs. Multiple bibliographic databases were searched for articles to analyze how AMSTAR 2 was applied by others.
Results: In both samples (n = 60 and n = 58), the Friedman test revealed a significant difference between the schemes (P < 0.001). The Web site scheme was the least strict one, whereas between the 5-item and 7-item scheme, no differences were found in post hoc analyses. We included 53 publications applying AMSTAR 2 identified in our literature search. Only 37 of them (70%) used the original 7-item scheme. Less than half of them (18 of 37) reported how they derived the overall rating.
Conclusion: Authors should clearly report how they have derived the overall rating when applying AMSTAR 2. Reporting should allow for reproducing the overall ratings for editors, peer reviewers, and readers.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jclinepi.2020.09.046 | DOI Listing |
BMC Musculoskelet Disord
January 2025
Division of Orthopaedic Surgery, Department of Surgery, McMaster University, Hamilton, ON, Canada.
Background: To summarize the statistical performance of machine learning in predicting revision, secondary knee injury, or reoperations following anterior cruciate ligament reconstruction (ACLR), and to provide a general overview of the statistical performance of these models.
Methods: Three online databases (PubMed, MEDLINE, EMBASE) were searched from database inception to February 6, 2024, to identify literature on the use of machine learning to predict revision, secondary knee injury (e.g.
Am J Clin Nutr
January 2025
School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, ON, Canada; Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, ON, Canada.
Background: Although high-quality nutrition systematic reviews (SRs) are important for clinical decision making, there remains debate on their methodological quality and reporting transparency.
Objectives: The objective of this study was to assess the reliability and reproducibility of a sample of SRs produced by the Nutrition Evidence Systematic Review (NESR) team to inform the 2020-2025 Dietary Guidelines for Americans (DGAs).
Methods: We evaluated a sample of 8 SRs from the DGA dietary patterns subcommittee for methodological quality using the Assessment of Multiple Systematic Reviews 2 (AMSTAR 2) tool and for reporting transparency using the PRISMA 2020 and PRISMA literature search extension (PRISMA-S) checklists.
Front Immunol
January 2025
Department of Urology, People's Hospital of Deyang City, Chengdu University of Traditional Chinese Medicine, Deyang, China.
Objective: The high hemoglobin, albumin, lymphocyte, and platelet (HALP) score has been reported to be a good prognostic indicator for several malignancies. However, more evidence is needed before it can be introduced into clinical practice. Here, we systematically evaluated the predictive value of HALP for survival outcomes in patients with solid tumors.
View Article and Find Full Text PDFBreast J
January 2025
HTA Austria-Austrian Institute for Health Technology Assessment (AIHTA) GmbH, Garnisongasse 7/21, Vienna 1090, Austria.
Purpose: Breast cancer is the most common cancer among women globally, with an incidence of approximately two million cases in 2018. Organised age-based breast cancer screening programs were established worldwide to detect breast cancer earlier and to reduce mortality. Currently, there is substantial anticipation regarding risk-adjusted screening programs, considering various risk factors in addition to age.
View Article and Find Full Text PDFPsychiatry Res
December 2024
Eating Disorders Unit, Department of Neuroscience "Rita Levi Montalcini", University of Turin, via Cherasco 15, 10126, Turin, Italy. Electronic address:
Background: Psychosocial and pharmacological interventions can effectively treat eating disorders (EDs), but improvements are often short-term and modest. Neuromodulation, altering nerve activity through targeted neurological stimulation, is an emerging intervention in neuropsychiatric disorders. This meta-review synthesizes evidence on neuromodulatory techniques in ED patients, identifying research gaps and future directions.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!