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Open AccessJournal ArticleDOI

Development of a critical appraisal tool to assess the quality of cross-sectional studies (AXIS)

TLDR
The AXIS tool was developed in a way that it can be used across disciplines to aid the inclusion of CSSs in systematic reviews, guidelines and clinical decision-making in a number of different disciplines.
Abstract
Objectives: The aim of this study was to develop a critical appraisal (CA) tool that addressed study design and reporting quality as well as the risk of bias in cross-sectional studies (CSSs). In addition, the aim was to produce a help document to guide the non-expert user through the tool. Design: An initial scoping review of the published literature and key epidemiological texts was undertaken prior to the formation of a Delphi panel to establish key components for a CA tool for CSSs. A consensus of 80% was required from the Delphi panel for any component to be included in the final tool. Results: An initial list of 39 components was identified through examination of existing resources. An international Delphi panel of 18 medical and veterinary experts was established. After 3 rounds of the Delphi process, the Appraisal tool for Cross-Sectional Studies (AXIS tool) was developed by consensus and consisted of 20 components. A detailed explanatory document was also developed with the tool, giving expanded explanation of each question and providing simple interpretations and examples of the epidemiological concepts being examined in each question to aid non-expert users. Conclusions: CA of the literature is a vital step in evidence synthesis and therefore evidence-based decision-making in a number of different disciplines. The AXIS tool is therefore unique and was developed in a way that it can be used across disciplines to aid the inclusion of CSSs in systematic reviews, guidelines and clinical decision-making.

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Citations
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Clinical, laboratory and imaging features of COVID-19: A systematic review and meta-analysis.

TL;DR: A systematic literature review with meta-analysis was performed using three databases to assess clinical, laboratory, imaging features, and outcomes of COVID-19 confirmed cases, finding that this virus brings a huge burden to healthcare facilities, especially in patients with comorbidities.
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Methodological quality (risk of bias) assessment tools for primary and secondary medical studies: what are they and which is better?

TL;DR: This review introduced methodological quality assessment tools for randomized controlled trial, animal study, non-randomized interventional studies, qualitative study, outcome measurement instruments, systematic review and meta-analysis, and clinical practice guideline.
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National, regional, and worldwide epidemiology of psoriasis: systematic analysis and modelling study

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The associations between problematic Facebook use, psychological distress and well-being among adolescents and young adults: A systematic review and meta-analysis.

TL;DR: This meta-analysis is the first to examine the associations between problematic Facebook use, psychological distress (i.e., depression, anxiety, etc.) and well-being among adolescents and young adults and suggests that effect sizes were larger in older samples.
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A Meta-Analysis of Maternal Prenatal Depression and Anxiety on Child Socioemotional Development.

TL;DR: In this paper, the authors provided a synthesis of studies examining maternal prenatal anxiety and depression and the socioemotional development of their children up to 18 years later, and the weighted average effect size for the association between prenatal stress and child socio-emotional problems was as follows: odds ratio (OR) = 1.66 (95% CI= 1.54−1.79).
References
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Book

Cochrane Handbook for Systematic Reviews of Interventions

TL;DR: The Cochrane Handbook for Systematic Reviews of Interventions is the official document that describes in detail the process of preparing and maintaining Cochrane systematic reviews on the effects of healthcare interventions.
Journal ArticleDOI

Meta-analysis of observational studies in epidemiology - A proposal for reporting

TL;DR: A checklist contains specifications for reporting of meta-analyses of observational studies in epidemiology, including background, search strategy, methods, results, discussion, and conclusion should improve the usefulness ofMeta-an analyses for authors, reviewers, editors, readers, and decision makers.

The Newcastle-Ottawa Scale (NOS) for Assessing the Quality of Nonrandomised Studies in Meta-Analyses

TL;DR: The Newcastle-Ottawa Scale (NOS) as discussed by the authors was developed to assess the quality of nonrandomised studies with its design, content and ease of use directed to the task of incorporating the quality assessments in the interpretation of meta-analytic results.
Journal ArticleDOI

The Strengthening the Reporting of Observational Studies in Epidemiology [STROBE] statement: guidelines for reporting observational studies

TL;DR: The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) initiative developed recommendations on what should be included in an accurate and complete report of an observational study, resulting in a checklist of 22 items (the STROBE statement) that relate to the title, abstract, introduction, methods, results, and discussion sections of articles.
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