Evidence map›Paper›PMID 41850900›Full record

ArticleStatistics in medicine2026

Meta-Analysis of Cost-Effectiveness.

Heejung Bang, Hongwei Zhao

Abstract read
In one paragraph

Article in Statistics in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Heejung BangDivision of Biostatistics, Department of Public Health Sciences, University of California, Davis, Davis, California, USA.ORCID https://orcid.org/0000-0002-5755-9951
Hongwei ZhaoDivision of Occupational and Environmental Health, School of Medicine, University of Utah, Salt Lake City, Utah, USA.

Funding

UC Davis Clinical and Translational Science CenterUL1TR001860 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J., LYLES, COURTNEY REES · 2016 to 2025
$47.3M
NCATS NIH HHS UL1 TR001860NIH HHS UL1 TR001860
6 · The paper itself

Abstract

Systematic review and meta-analysis are widely accepted approaches for evaluating treatment effectiveness. Meta-analysis generally addresses statistical aspects of systematic reviews, such as the pooling of treatment effect sizes, assessment of heterogeneity, and statistical inference. To complement treatment effectiveness, cost-effectiveness is often conducted to encompass both clinical and economic perspectives. However, there are few statistical methods proposed for meta-analyses of cost-effectiveness, and none is used widely. In fact, meta-analysis is currently not encouraged for cost-effectiveness due to methodological and statistical complexities. In this paper, we propose simple meta-analytic methods for cost-effectiveness, which may serve as a starting point for future work. We illustrate the methods using two examples from systematic reviews on wound interventions and mental illness.

Indexed as

Cost-Benefit AnalysisCost-Effectiveness AnalysisMeta-Analysis as TopicSystematic Reviews as TopicHumansMental DisordersWounds and Injuriesbootstrap wedgecost‐effectiveness analysiscost‐effectiveness planehealth economicsincremental cost‐effectiveness ratio (ICER)systematic review

Identifiers

PMID41850900
PMCPMC12999371

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.