Evidence map›Paper›PMID 21953401›Full record

ArticleStatistics in medicine2012

Competing risks and the clinical community: irrelevance or ignorance?

Michael T Koller, Heike Raatz, Ewout W Steyerberg, Marcel Wolbers

Abstract read
In one paragraph

Article in Statistics in medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 140 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
140citing papers in PubMed, 9 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

140 citing papers in PubMed, 9 syntheses or guidelines pooled it.

  1. Pooled it
  2. BMJ open · 2019
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  8. Guideline
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  11. A Competing-Risk Approach for Modeling Length of Stay in Severe Malaria Patients in South-East Asia and the Implications for Planning of Hospital Services.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
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  20. Competing and Noncompeting Risk Models for Predicting Kidney Allograft Failure.Journal of the American Society of Nephrology : JASN · 2025
    Article

80 more citing papers are in PubMed but not listed here.

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.

Michael T KollerBasel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel, Switzerland. kollerm@uhbs.ch
Heike Raatz
Ewout W Steyerberg
Marcel Wolbers

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Life expectancy has dramatically increased in industrialized nations over the last 200 hundred years. The aging of populations carries over to clinical research and leads to an increasing representation of elderly and multimorbid individuals in study populations. Clinical research in these populations is complicated by the fact that individuals are likely to experience several potential disease endpoints that prevent some disease-specific endpoint of interest from occurrence. Large developments in competing risks methodology have been achieved over the last decades, but we assume that recognition of competing risks in the clinical community is still marginal. It is the aim of this article to address translational aspects of competing risks to the clinical community. We describe clinical populations where competing risks issues may arise. We then discuss the importance of agreement between the competing risks methodology and the study aim, in particular the distinction between etiologic and prognostic research questions. In a review of 50 clinical studies performed in individuals susceptible to competing risks published in high-impact clinical journals, we found competing risks issues in 70% of all articles. Better recognition of issues related to competing risks and of statistical methods that deal with competing risks in accordance with the aim of the study is needed.

Indexed as

AgingData Interpretation, StatisticalModels, StatisticalRiskAgedAged, 80 and overBiomedical ResearchFemaleHumansLife ExpectancyMale

Identifiers

PMID21953401
PMCPMC3575691

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.