Evidence map›Paper›PMID 40576931›Full record

ArticleEuropean journal of epidemiology2025

How hazard ratios can mislead and why it matters in practice.

Elise Dumas, Mats J Stensrud

Abstract read
In one paragraph

Article in European journal of epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Pooled it
  3. Article
  4. The (Mis)interpretation of Hazard Ratios in Clinical Trials.Journal of the American Society of Nephrology : JASN · 2026
    Article
  5. Article
  6. Review
  7. A simple and powerful test of vaccine waning.American journal of epidemiology · 2026
    Article
  8. Article
  9. Review
  10. Article
  11. 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

2 authors.

Elise DumasInstitute of Mathematics, Ecole Polytechnique Fédérale de Lausanne, Station 8, 1015, Lausanne, Switzerland. elise.dumas@epfl.ch.ORCID http://orcid.org/0000-0002-7877-719X
Mats J StensrudInstitute of Mathematics, Ecole Polytechnique Fédérale de Lausanne, Station 8, 1015, Lausanne, Switzerland.ORCID http://orcid.org/0000-0001-9641-1936

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hazard ratios are routinely reported as effect measures in clinical trials and observational studies. However, many methodological works have raised concerns about the interpretation of hazard ratios as causal effects. These concerns are often related to three points: (i) depletion of susceptible individuals leads to selection bias and complicates the causal interpretation of the hazard ratio, (ii) the hazard ratio is not collapsible, and (iii) the conventional proportional hazards assumption rarely holds in medical studies. We discuss the relation between these three points. We ground our presentation on an example about effect of endocrine therapy in reducing the risk of recurrence or death in a population of patients with breast cancer. We also describe why survival curves and risk differences do not exhibit any of the undesirable properties of hazard ratios.

Indexed as

Breast NeoplasmsBiasCausalityData Interpretation, StatisticalFemaleHumansProportional Hazards ModelsSurvival Analysis

Identifiers

PMID40576931
PMCPMC12263472

What OpenQuestion holds

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LicenceCC BY
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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.