Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Bias in meta-analytic research.

D T Felson1

  • 1Department of Medicine, Boston City Hospital, MA 02118.

Journal of Clinical Epidemiology
|August 1, 1992
PubMed
Summary
This summary is machine-generated.

Conflicting medical studies arise from meta-analysis bias. This review details common biases in finding, selecting, and extracting data during meta-analysis to improve study validity.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Reliability and agreement of manual and automated morphological radiographic hip measurements.

Osteoarthritis and cartilage open·2024
Same author

The effects of a sleeve knee brace during stair negotiation in patients with symptomatic patellofemoral osteoarthritis.

Clinical biomechanics (Bristol, Avon)·2023
Same author

Prevalence of intra-articular mineralization on knee computed tomography: the multicenter osteoarthritis study.

Osteoarthritis and cartilage·2023
Same author

Improved responsiveness to change in joint space width over 24-month follow-up: comparison of 3D JSW on weight-bearing CT vs 2D JSW on radiographs in the MOST study.

Osteoarthritis and cartilage·2022
Same author

Evidence suggests that intraarticular corticosteroids are effective (short term) and safe (long term).

Osteoarthritis and cartilage·2022
Same author

Depressive symptoms and multi-joint pain partially mediate the relationship between obesity and opioid use in people with knee osteoarthritis.

Osteoarthritis and cartilage·2022
Same journal

A comparison of five statistical methods used to analyse longitudinal EORTC QLQ-C30 quality of life scores in randomised controlled trials: a simulation study.

Journal of clinical epidemiology·2026
Same journal

Sample Size Determination for Decision-centered Pragmatic Trials.

Journal of clinical epidemiology·2026
Same journal

Many multicenter randomized controlled trials do not account for center effect: a methodological review.

Journal of clinical epidemiology·2026
Same journal

Patient Acceptability of the Modified Zelen Approach to Randomized Trials - A Survey of the CAPS THA Cohort.

Journal of clinical epidemiology·2026
Same journal

Corrigendum to SPICE-GRADE: simultaneous processing of indirect causal evidence in complex pathways using GRADE - an exploratory case study. [Journal of Clinical Epidemiology, 194C (2026) 112219].

Journal of clinical epidemiology·2026
Same journal

Small numbers of clusters in cluster randomised trials: a scoping review of problems and proposed solutions.

Journal of clinical epidemiology·2026
See all related articles

Area of Science:

  • Medical research methodology
  • Evidence-based medicine

Background:

  • The increasing number of meta-analyses in medical literature has led to conflicting study results.
  • Inconsistent adherence to established guidelines for conducting meta-analyses is observed.
  • Bias is a potential explanation for conflicting findings and a differentiator between high-quality and lower-quality meta-analyses.

Purpose of the Study:

  • To identify and review common types of bias that can affect the validity of meta-analyses.
  • To examine bias at the critical stages of meta-analysis: study identification, study selection, and data extraction.

Main Methods:

  • Literature review focusing on common biases in meta-analysis.
  • Categorization of biases based on the stage of meta-analysis (finding, selection, extraction).

Related Experiment Videos

Main Results:

  • Bias can be introduced at multiple stages of the meta-analysis process.
  • Common biases include issues related to finding relevant studies.
  • Selection bias and data extraction errors are significant threats to meta-analysis validity.

Conclusions:

  • Understanding and mitigating bias at each stage is crucial for enhancing the reliability of meta-analyses.
  • Addressing bias can help reconcile conflicting findings in medical literature.
  • Careful attention to methodology is essential for robust meta-analysis.