Evidence map›Paper›PMID 36003089›Full record

ReviewCurrent epidemiology reports2022

The Utility of Multistate Models: A Flexible Framework for Time-to-Event Data.

Jennifer G Le-Rademacher, Terry M Therneau, Fang-Shu Ou

Abstract readReview
In one paragraph

Review in Current epidemiology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

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  14. Ambient Air Pollution and COVID-19 in California.Research report (Health Effects Institute) · 2026
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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

3 authors.

Jennifer G Le-RademacherDivision of Clinical Trials and Biostatistics, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA.
Terry M TherneauDivision of Clinical Trials and Biostatistics, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA.
Fang-Shu OuDivision of Clinical Trials and Biostatistics, Mayo Clinic, 200 First Street SW, Rochester, MN 55905 USA.

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Felicity Enders · 1985 to 2026
$151.3M
NCI NIH HHS P30 CA015083
6 · The paper itself

Abstract

Purpose of Review: Survival analyses are common and essential in medical research. Most readers are familiar with Kaplan-Meier curves and Cox models; however, very few are familiar with multistate models. Although multistate models were introduced in 1965, they only recently receive more attention in the medical research community. The current review introduces common terminologies and quantities that can be estimated from multistate models. Examples from published literature are used to illustrate the utility of multistate models. Recent Findings: A figure of states and transitions is a useful depiction of a multistate model. Clinically meaningful quantities that can be estimated from a multistate model include the probability in a state at a given time, the average time in a state, and the expected number of visits to a state; all of which describe the absolute risks of an event. Relative risk can also be estimated using multistate hazard models. Summary: Multistate models provide a more general and flexible framework that extends beyond the Kaplan-Meier estimator and Cox models. Multistate models allow simultaneous analyses of multiple disease pathways to provide insights into the natural history of complex diseases. We strongly encourage the use of multistate models when analyzing time-to-event data. Supplementary Information: The online version contains supplementary material available at 10.1007/s40471-022-00291-y.

Indexed as

Competing risksMultistate modelsSurvival analysisTime-to-event data

Identifiers

PMID36003089
PMCPMC9392702

What OpenQuestion holds

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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.