Evidence map›Paper›PMID 41510522›Full record

ArticleMethodology : European journal of research methods for the behavioral & social sciences2025

A Practical Guide to Conducting Dose-Response Meta-Analyses in Epidemiology.

Huan Jiang, Jürgen Rehm, Charlotte Probst, Alexander Tran, Shannon Lange, Laura Llamosas-Falcón

Abstract read
In one paragraph

Article in Methodology : European journal of research methods for the behavioral & social sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. A Practical Guide to Conducting Dose-Response Meta-Analyses in Epidemiology.Methodology : European journal of research methods for the behavioral & social sciences · 2025
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Huan JiangInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Jürgen RehmInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Charlotte ProbstInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Alexander TranInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Shannon LangeInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, ON, Canada.
Laura Llamosas-FalcónInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, ON, Canada.

Funding

Supplement to a microsimulation of alcohol control interventions to advance health equity and reverse the current decrease in life expectancy in the USR01AA028009 · NIAAA · CENTRE FOR ADDICTION AND MENTAL HEALTH · PI PROBST, CHARLOTTE · 2020 to 2024
$2.4M
Evaluation of the impact of alcohol control policies on morbidity and mortality in Lithuania and other Baltic statesR01AA028224 · NIAAA · CENTRE FOR ADDICTION AND MENTAL HEALTH · PI REHM, JUERGEN T, ŠTELEMĖKAS, MINDAUGAS · 2020 to 2024
$2.2M
NIAAA NIH HHS R01 AA028009NIAAA NIH HHS R01 AA028224
6 · The paper itself

Abstract

Dose-response relationships between continuous risk factors and disease outcomes are necessary for understanding the risks related to different levels of exposure. Dose-response risk curves can lead to more targeted public health messaging, prevention efforts, and policy implementation. Meta-analyses are often used to combine statistical results from different studies and can be used to model dose-response relationships. However, several challenges are encountered when performing dose-response meta-analysis, such as having heterogeneous reference categories, inconsistent measures of risk, and determining the most accurate shape of the curve. In this paper, we propose a three-step process for estimating dose-response relationships via meta-analysis, which involves: 1) harmonizing the measures of risk, 2) homogenizing the reference category, and 3) selecting meta-regression models. We use data obtained from a systematic review on the dose-response relationship between alcohol consumption and the risk of chronic liver disease to provide an example of the proposed process.

Indexed as

dose responsedose-response meta-analysisepidemiologymethodologyrisk curves

Identifiers

PMID41510522
PMCPMC12779110

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.