AI Article Synopsis
Article Abstract
Background: The use of Mendelian randomization (MR) in epidemiology has increased considerably in recent years, with a subsequent increase in systematic reviews of MR studies. We conducted a systematic review of tools designed for assessing risk of bias and/or quality of evidence in MR studies and a review of systematic reviews of MR studies.
Methods: We systematically searched MEDLINE, Embase, the Web of Science, preprints servers and Google Scholar for articles containing tools for assessing, conducting and/or reporting MR studies. We also searched for systematic reviews and protocols of systematic reviews of MR studies. From eligible articles we collected data on tool characteristics and content, as well as details of narrative description of bias assessment.
Results: Our searches retrieved 2464 records to screen, from which 14 tools, 35 systematic reviews and 38 protocols were included in our review. Seven tools were designed for assessing risk of bias/quality of evidence in MR studies and evaluation of their content revealed that all seven tools addressed the three core assumptions of instrumental variable analysis, violation of which can potentially introduce bias in MR analysis estimates.
Conclusion: We present an overview of tools and methods to assess risk of bias/quality of evidence in MR analysis. Issues commonly addressed relate to the three standard assumptions of instrumental variables analyses, the choice of genetic instrument(s) and features of the population(s) from which the data are collected (particularly in two-sample MR), in addition to more traditional non-MR-specific epidemiological biases. The identified tools should be tested and validated for general use before recommendations can be made on their widespread use. Our findings should raise awareness about the importance of bias related to MR analysis and provide information that is useful for assessment of MR studies in the context of systematic reviews.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9908059 | PMC |
| http://dx.doi.org/10.1093/ije/dyac149 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Interventions Intended to Improve the Well-Being at Work of Nurses Working in Care Settings for Older People-A Systematic Review.
Int J Older People Nurs
January 2025
Department of Nursing Science, University of Turku, Turku, Finland.
Introduction: Nurses' well-being at work (WAW) is important for overall health care outcomes. Nurses often navigate complex roles, contending with time constraints, ethical challenges and societal undervaluation, underscoring the necessity of addressing their WAW.
Methods: The aim of this systematic review was to analyse the interventions that potentially improve nurses' WAW in care settings for older people.
Association of Polycystic Ovary Syndrome With Sensorineural Hearing Loss: A Systematic Review and Meta-analysis.
Otolaryngol Head Neck Surg
December 2024
Department of Otolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Objective: Despite certain studies indicating hearing impairments in individuals with polycystic ovary syndrome (PCOS), the correlation between PCOS and sensorineural hearing loss (SNHL) remains inconclusive. This study aimed to investigate the association between PCOS and SNHL.
Data Sources: A systematic literature search was conducted using PubMed, MEDLINE, EMBASE, and the Cochrane Library from inception to June 24, 2024.
A Systematic Review of the Molecular Mechanisms Involved in the Association Between PCOS and Endometrial and Ovarian Cancers.
J Cell Mol Med
December 2024
Biosciences Institute, Newcastle University Cancer Centre, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, UK.
Polycystic ovary syndrome (PCOS), a major cause of female infertility, affects 4%-20% of reproductive-age women. Metabolic and hormonal alterations are key features of PCOS, potentially raising the risk of endometrial (EC) and ovarian (OVCA) cancers. This systematic review aims to summarise the proposed molecular mechanisms involved in the association between PCOS and EC or OVCA.
View Article and Find Full Text PDFMASLD Is Associated With an Increased Long-Term Risk of Atrial Fibrillation: An Updated Systematic Review and Meta-Analysis.
Liver Int
January 2025
Department of Medicine, University of Verona, Verona, Italy.
Background: Studies have reported an association between metabolic dysfunction-associated steatotic liver disease (MASLD) and an increased risk of developing atrial fibrillation (AF). However, the magnitude of the risk and whether this risk varies with the severity of MASLD remains uncertain.
Methods: In this systematic review and meta-analysis, we searched three large electronic databases using predefined keywords to identify cohort studies (published up to 30 September 2024) in which MASLD was diagnosed by liver biopsy, imaging methods, International Classification of Diseases (ICD) codes, or blood-based scores.
Second-Line Treatment for Patients With Primary Biliary Cholangitis: A Systematic Review With Network Meta-Analysis.
Liver Int
January 2025
Liver Center, Digestive Diseases Section, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Background & Aims: Approximately 40% of patients with Primary Biliary Cholangitis (PBC) show incomplete response to ursodeoxycholic acid, thus needing second-line treatment to prevent disease progression. As no head-to-head comparison study is available, we used a network meta-analysis (NMA) to compare efficacy and safety of available second-line therapies.
Methods: We performed a systematic literature review including randomised, placebo-controlled trials of patients with PBC and incomplete response, or intolerance, to ursodeoxycholic acid, and compared relative risks (RRs) for primary (biochemical response at 52-week) and secondary outcomes [incidence of new-onset pruritus and serious adverse events (SAEs)].
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!