Evidence map›Paper›PMID 26751714›Full record

ArticleStatistics in medicine2016

Analysis of recurrent events with an associated informative dropout time: Application of the joint frailty model.

Jennifer K Rogers, Alex Yaroshinsky, Stuart J Pocock, David Stokar, Janice Pogoda

Abstract read
In one paragraph

Article in Statistics in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  3. Empagliflozin in Patients with Chronic Kidney Disease.The New England journal of medicine · 2023 · on this map
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  13. Sleep apnea and recurrent heart failure hospitalizations after coronary artery bypass grafting.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2021
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  16. Article
  17. Review
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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

5 authors.

Jennifer K RogersUniversity of Oxford, Oxford, U.K.
Alex YaroshinskyVital Systems, Inc, Rolling Meadows, U.S.A.
Stuart J PocockLondon School of Hygiene and Tropical Medicine, London, U.K.
David StokarMesoblast, New York, U.S.A.
Janice PogodaCelladon, San Diego, U.S.A.

Funding

Department of Health PDF-2013-06-024
6 · The paper itself

Abstract

This paper considers the analysis of a repeat event outcome in clinical trials of chronic diseases in the context of dependent censoring (e.g. mortality). It has particular application in the context of recurrent heart failure hospitalisations in trials of heart failure. Semi-parametric joint frailty models (JFMs) simultaneously analyse recurrent heart failure hospitalisations and time to cardiovascular death, estimating distinct hazard ratios whilst individual-specific latent variables induce associations between the two processes. A simulation study was carried out to assess the suitability of the JFM versus marginal analyses of recurrent events and cardiovascular death using standard methods. Hazard ratios were consistently overestimated when marginal models were used, whilst the JFM produced good, well-estimated results. An application to the Candesartan in Heart failure: Assessment of Reduction in Mortality and morbidity programme was considered. The JFM gave unbiased estimates of treatment effects in the presence of dependent censoring. We advocate the use of the JFM for future trials that consider recurrent events as the primary outcome. © 2016 The Authors. Statistics in Medicine Published by John Wiley & Sons Ltd.

Indexed as

Data Interpretation, StatisticalModels, StatisticalHeart FailureHospitalizationHumansRecurrenceTreatment Outcomedependent censoringheart failurejoint frailty modelsrecurrent events

Identifiers

PMID26751714
PMCPMC5019155

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Registered trials

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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.