Evidence map›Paper›PMID 37584228›Full record

ReviewDeutsches Arzteblatt international2023

Mediation Analysis in Medical Research.

Thaddäus Tönnies, Sabrina Schlesinger, Alexander Lang, Oliver Kuss

Abstract readReview
In one paragraph

Review in Deutsches Arzteblatt international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

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  18. Association between PMFrontiers in public health · 2026
    Article
  19. Pericoronary Fat Attenuation Index Mediates the Link Between TyG Index and OSA Risk in Type 2 Diabetes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026
    Article
  20. 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

4 authors.

Thaddäus TönniesGerman Diabetes Center (DDZ), Leibniz Center for Diabetes Research at the Heinrich-Heine University Düsseldorf, Institute for Biometrics and Epidemiology; German Center for Diabetes Research, Partner Düsseldorf, München-Neuherberg, Germany; Centre for Health and Society, Medical Faculty and University Hospital of Düsseldorf, Heinrich-Heine University Düsseldorf, Düsseldorf.
Sabrina Schlesinger
Alexander Lang
Oliver Kuss

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMediation analysis addresses the question of the mechanisms by which an exposure causes an outcome. This article is intended to convey basic knowledge of statistical mediation analysis.

methodsSelected articles and examples are used to explain the principle of mediation analysis.

resultsThe goal of mediation analysis is to express an overall exposure effect as a combination of an indirect and a direct effect. For example, it might be of interest whether the increased risk of diabetes (outcome) due to obesity (exposure) is mediated by insulin resistance (indirect effect), and, if so, how much of a direct effect remains. In this example, insulin resistance is a potential mediator of the effect of obesity on the risk of diabetes. In general, for a mediation analysis to be valid, more confounders must be taken into account than in the estimation of the overall effect size. A regression-based approach can be used to ensure the consideration of all relevant confounders in a mediation analysis.

conclusionBy decomposing the overall exposure effect into indirect and direct components, a mediation analysis can reveal not just whether an exposure causes an outcome, but also how. For a mediation analysis to be valid, however, multiple assumptions must be satisfied that cannot easily be checked, potentially compromising such analyses as compared to the estimation of an overall effect.

Indexed as

Biomedical ResearchDiabetes MellitusInsulin ResistanceHumansMediation AnalysisModels, StatisticalObesity

Identifiers

PMID37584228
PMCPMC10666259

What OpenQuestion holds

Textmetadata
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.