Various biases in systematic review and meta-analysis and their assessment

Systematic reviews and meta-analyses synthesise existing evidence for clinical and scientific decision-making. Clinicians and researchers need to understand how to interpret the evidence with the bias involved, as well as the various available tools and how to use them when performing a systematic review. The validity of systematic reviews and meta-analyses depends on comprehensive assessment and mitigation of biases. Biases have the potential to compromise the validity and reliability of results. By being aware of and addressing these different biases, researchers and clinicians can more confidently interpret findings and increase the impact and dependability of their conclusions. The article discusses the biases involved in systematic reviews and meta-analyses and various ways to assess them.

Authors

Institutions

Publication Details

Journal
Indian Journal of Anaesthesia
Published
2025-01-01
DOI
https://doi.org/10.4103/ija.ija_1212_24
Citations
7
Primary Topic
Meta-analysis and systematic reviews
Type
article
Field-Weighted Citation Impact
9.79
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Various biases in systematic review and meta-analysis and their assessment

Abhijit Sukumaran Nair, Nitinkumar Borkar
7 citations
Indian Journal of Anaesthesia
Meta-analysis and systematic reviews
9.79
article

Various biases in systematic review and meta-analysis and their assessment

Abhijit Sukumaran Nair, Nitinkumar Borkar
article en
7 citations

Abstract

Systematic reviews and meta-analyses synthesise existing evidence for clinical and scientific decision-making. Clinicians and researchers need to understand how to interpret the evidence with the bias involved, as well as the various available tools and how to use them when performing a systematic review. The validity of systematic reviews and meta-analyses depends on comprehensive assessment and mitigation of biases. Biases have the potential to compromise the validity and reliability of results. By being aware of and addressing these different biases, researchers and clinicians can more confidently interpret findings and increase the impact and dependability of their conclusions. The article discusses the biases involved in systematic reviews and meta-analyses and various ways to assess them.

Indian Journal of AnaesthesiaVol. 69(1)
All India Institute of Medical Sciences Raipur (IN)
Peace, Justice and strong institutions
Openalex Percentile: Top 2%
Meta-analysis and systematic reviews
9.79
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Various biases in systematic review and meta-analysis and their assessment — Abhijit Sukumaran Nair, Nitinkumar Borkar · Indian Journal of Anaesthesia (2025) | TGRS Research Map | TGRS