Evidence map›Paper›PMID 27197622›Full record

ArticleStatistics in medicine2016

Developing points-based risk-scoring systems in the presence of competing risks.

Peter C Austin, Douglas S Lee, Ralph B D'Agostino, Jason P Fine

Erratum issuedAbstract 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. An erratum has been issued. Cited by 61 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

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

  1. Pooled it
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  15. A novel hyperparameter search approach for accuracy and simplicity in disease prediction risk scoring.Journal of the American Medical Informatics Association : JAMIA · 2024
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  19. New horizons in the analysis of hospital readmissions of older adults.Aging clinical and experimental research · 2023
    Article
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1 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Peter C AustinInstitute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.
Douglas S LeeInstitute for Clinical Evaluative Sciences, Toronto, Ontario, Canada.
Ralph B D'AgostinoDepartment of Mathematics and Statistics, Boston University, Boston, MA, U.S.A.
Jason P FineDepartment of Biostatistics, University of North Carolina, Chapel Hill, NC, U.S.A.

Funding

CIHR
6 · The paper itself

Abstract

Predicting the occurrence of an adverse event over time is an important issue in clinical medicine. Clinical prediction models and associated points-based risk-scoring systems are popular statistical methods for summarizing the relationship between a multivariable set of patient risk factors and the risk of the occurrence of an adverse event. Points-based risk-scoring systems are popular amongst physicians as they permit a rapid assessment of patient risk without the use of computers or other electronic devices. The use of such points-based risk-scoring systems facilitates evidence-based clinical decision making. There is a growing interest in cause-specific mortality and in non-fatal outcomes. However, when considering these types of outcomes, one must account for competing risks whose occurrence precludes the occurrence of the event of interest. We describe how points-based risk-scoring systems can be developed in the presence of competing events. We illustrate the application of these methods by developing risk-scoring systems for predicting cardiovascular mortality in patients hospitalized with acute myocardial infarction. Code in the R statistical programming language is provided for the implementation of the described methods. © 2016 The Authors. Statistics in Medicine published by John Wiley & Sons Ltd.

Indexed as

HumansMyocardial InfarctionProportional Hazards ModelsReference ValuesRisk AssessmentRisk Factorsclinical prediction modelscompeting risksCox proportional hazards modelrisk-scoring systemssurvival analysis

Identifiers

PMID27197622
PMCPMC5084773

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.