SynthesisBriefings in bioinformatics2021
Reviewing and assessing existing meta-analysis models and tools.
Synthesis in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Liposomal bupivacaine versus conventional anesthetics in adductor canal block for total knee arthroplasty: a meta-analysis of randomized controlled trials.BMC anesthesiology · 2025Pooled it
- Efficiency and safety of double-lumen bronchial tube and bronchial blocker for one-lung ventilation in patients with thoracic surgery: a meta-analysis.BMC anesthesiology · 2025Pooled it
- Adapting PRISMA Guidelines to Enhance Reporting Quality in Genetic Association Studies: A Framework Proposal.Asian Pacific journal of cancer prevention : APJCP · 2025Pooled it
- Comparative effectiveness of ten traditional Chinese herbal formulas for acute exacerbation of chronic obstructive pulmonary disease: a systematic review and Bayesian network meta-analysis.Frontiers in pharmacology · 2025Pooled it
- A Cross-Region Meta-Analysis and Machine Learning Identifies a 37-Gene Signature Associated with Alzheimer's Disease.Biomedicines · 2026Article
- AWmeta Empowers Adaptively Weighted Transcriptomic Meta-Analysis.Current issues in molecular biology · 2026Article
- Privacy-preserving multicenter differential protein abundance analysis with FedProt.Nature computational science · 2025Article
- Multi-ancestry genome-wide association analyses: a comparison of meta- and mega-analyses in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study.BMC genomics · 2025Article
- A Positive Association between Working Memory Capacity and Human Creativity: A Meta-Analytic Evidence.Journal of Intelligence · 2023Article
- Formal Meta-Analysis of Hypoxic Gene Expression Profiles Reveals a Universal Gene Signature.Biomedicines · 2022Article
- Candidate loci for leaf angle in maize revealed by a combination of genome-wide association study and meta-analysis.Frontiers in genetics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Over the past few years, meta-analysis has become popular among biomedical researchers for detecting biomarkers across multiple cohort studies with increased predictive power. Combining datasets from different sources increases sample size, thus overcoming the issue related to limited sample size from each individual study and boosting the predictive power. This leads to an increased likelihood of more accurately predicting differentially expressed genes/proteins or significant biomarkers underlying the biological condition of interest. Currently, several meta-analysis methods and tools exist, each having its own strengths and limitations. In this paper, we survey existing meta-analysis methods, and assess the performance of different methods based on results from different datasets as well as assessment from prior knowledge of each method. This provides a reference summary of meta-analysis models and tools, which helps to guide end-users on the choice of appropriate models or tools for given types of datasets and enables developers to consider current advances when planning the development of new meta-analysis models and more practical integrative tools.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.