Evidence map›Paper›PMID 33626896›Full record

ArticleClinical trials (London, England)2021

Are restricted mean survival time methods especially useful for noninferiority trials?

Boris Freidlin, Chen Hu, Edward L Korn

Abstract read
In one paragraph

Article in Clinical trials (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  9. Reply to Quartagno et al.Clinical trials (London, England) · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Boris FreidlinBiometric Research Program, National Cancer Institute, Bethesda, MD, USA.ORCID 0000-0002-2359-8063
Chen HuDivision of Biostatistics and Bioinformatics, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Edward L KornBiometric Research Program, National Cancer Institute, Bethesda, MD, USA.ORCID 0000-0002-3298-437X

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI WILLIAM George NELSON · 1985 to 2026
$208.6M
Statistics CoreU10CA180822 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI James J. Dignam, GREG YOTHERS · 2014 to 2026
$146.4M
Intramural NIH HHS Z99 CA999999NCI NIH HHS P30 CA006973NCI NIH HHS U10 CA180822
6 · The paper itself

Abstract

backgroundRestricted mean survival time methods compare the areas under the Kaplan-Meier curves up to a time

methodsThrough some limited simulations and asymptotic power calculations, the authors compare the operating characteristics of restricted mean survival time and proportional hazards methods for analyzing both noninferiority and superiority trials under proportional hazardss to understand what relative power benefits there are when using restricted mean survival time methods for noninferiority testing.

resultsIn the setting of low-event rates, very large targeted noninferiority margins, and limited follow-up past

conclusionAlthough there are special settings where restricted mean survival time methods have a power advantage over proportional hazards methods for testing noninferiority, the larger issue in these settings is defining appropriate noninferiority margins. We find the restricted mean survival time methods lacking in these regards.

Indexed as

Equivalence Trials as TopicResearch DesignSurvival RateHumansProportional Hazards ModelsSample SizeSurvival AnalysisCox modelLog-rank testproportional hazardssrandomized clinical trialssurvival analysis

Identifiers

PMID33626896
PMCPMC8329935

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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.