ArticleF1000Research2018
Estimating the contribution of studies in network meta-analysis: paths, flows and streams.
Article in F1000Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 8 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
21 citing papers in PubMed, 8 syntheses or guidelines pooled it, 36 citations in OpenAlex.
- Clinical Surveillance Technologies in Nonintensive Care Unit Hospital Settings: Systematic Review and Bayesian Network Meta-Analysis of Randomized Trials.Journal of medical Internet research · 2026Pooled it
- Safety Outcomes Following Intravenous Thrombolysis in Acute Ischemic Stroke: A Systematic Review and Network Meta-analysis.CNS drugs · 2026Pooled it
- Clinical Benefits and Risks of Antiamyloid Antibodies in Sporadic Alzheimer Disease: Systematic Review and Network Meta-Analysis With a Web Application.Journal of medical Internet research · 2025Pooled it
- Comparative effectiveness of non-pharmacological interventions for anxiety, depression, and quality of life in individuals with autism spectrum disorder: A systematic review and network meta-analysis.Frontiers in psychiatry · 2025Pooled it
- Pooled it
- Hair regrowth treatment efficacy and resistance in androgenetic alopecia: A systematic review and continuous Bayesian network meta-analysis.Frontiers in medicine · 2022Pooled it
- Comparison of Various Vagal Maneuvers for Supraventricular Tachycardia by Network Meta-Analysis.Frontiers in medicine · 2021Pooled it
- Drugs for preventing postoperative nausea and vomiting in adults after general anaesthesia: a network meta-analysis.The Cochrane database of systematic reviews · 2020Pooled it
- Left Atrial Appendage Occlusion vs Direct Oral Anticoagulants for Atrial Fibrillation: Network Meta-Analyses.JACC. Advances · 2026Article
- Review
- A leave-one-out algorithm for contribution analysis in component network meta-analysis.BMC medical research methodology · 2025Article
- Methodologies for network meta-analysis of randomised controlled trials in pain, anaesthesia, and perioperative medicine: a narrative review.British journal of anaesthesia · 2025Review
- Methodological review of NMA bias concepts provides groundwork for the development of a list of concepts for potential inclusion in a new risk of bias tool for network meta-analysis (RoB NMA Tool).Systematic reviews · 2024Article
- The efficacy and safety of first-line monotherapies in primary therapy of invasive aspergillosis: a systematic review.Frontiers in pharmacology · 2024Article
- Semi-automated assessment of the risk of bias due to missing evidence in network meta-analysis: a guidance paper for the ROB-MEN web-application.BMC medical research methodology · 2023Article
- Network meta-analysis and random walks.Statistics in medicine · 2022Article
- ROB-MEN: a tool to assess risk of bias due to missing evidence in network meta-analysis.BMC medicine · 2021Article
- The statistical importance of a study for a network meta-analysis estimate.BMC medical research methodology · 2020Article
- CINeMA: An approach for assessing confidence in the results of a network meta-analysis.PLoS medicine · 2020Article
- CINeMA: Software for semiautomated assessment of the confidence in the results of network meta-analysis.Campbell systematic reviews · 2020Article
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 at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In network meta-analysis, it is important to assess the influence of the limitations or other characteristics of individual studies on the estimates obtained from the network. The proportion contribution matrix, which shows how much each direct treatment effect contributes to each treatment effect estimate from network meta-analysis, is crucial in this context. We use ideas from graph theory to derive the proportion that is contributed by each direct treatment effect. We start with the 'projection' matrix in a two-step network meta-analysis model, called the
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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.