Evidence map›Paper›PMID 39163905›Full record

ArticleContemporary clinical trials2024

Commentary on Chen et al. (2022): The need for continued methodological research on leveraging information in secondary endpoints for more efficient RCTs.

Jack M Wolf, Joseph S Koopmeiners, David M Vock

Abstract read
In one paragraph

Article in Contemporary clinical trials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Jack M WolfDivision of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, 2221 University Ave SE, Minneapolis, MN 55414, USA. Electronic address: wolfx681@umn.edu.
Joseph S KoopmeinersDivision of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, 2221 University Ave SE, Minneapolis, MN 55414, USA.
David M VockDivision of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, 2221 University Ave SE, Minneapolis, MN 55414, USA.

Funding

VERY LOW NICOTINE CIGARETTES IN SMOKERS WITH SCHIZOPHRENIAU54DA031659 · NIDA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DONNY, ERIC CHRISTIAN · 2011 to 2022
$64.7M
University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UM1TR004405 · NCATS · UNIVERSITY OF MINNESOTA · PI Bruce R Blazar, Damien A Fair · 2023 to 2026
$30.8M
Innovative Statistical Methods for Evaluating the Impact of Tobacco Product StandardsR01DA046320 · NIDA · UNIVERSITY OF MINNESOTA · PI Joseph S. Koopmeiners, David M. Vock · 2018 to 2026
$2.4M
NCATS NIH HHS UM1 TR004405NIDA NIH HHS R01 DA046320NIDA NIH HHS U54 DA031659
6 · The paper itself

Abstract

Chen et al. (2022) recently proposed a set of estimating equations that incorporate data from secondary endpoints to improve precision in parameter estimates related to a primary endpoint. We were motivated to translate their methodology to the context of randomized controlled trials to gain precision in treatment effect estimation using data from secondary endpoints. Our results suggest that this estimator cannot gain efficiency in this context because of random treatment assignment, especially when there is a treatment effect on secondary endpoints, and that further methodological work in this area is needed.

Indexed as

Randomized Controlled Trials as TopicData Interpretation, StatisticalEndpoint DeterminationHumansResearch DesignEstimation precisionRandomized controlled trialSecondary endpoints

Identifiers

PMID39163905
PMCPMC11404399

What OpenQuestion holds

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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.