Evidence map›Paper›PMID 37284817›Full record

ReviewStatistical methods in medical research2023

An overview of optimal designs under a given budget in cluster randomized trials with a binary outcome.

Jingxia Liu, Lei Liu, Aimee S James, Graham A Colditz

Open access · greenAbstract readReview
In one paragraph

Review in Statistical methods in medical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 23% of its field
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

4 citing papers in PubMed, 3 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Jingxia LiuDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine (WUSM), St Louis, Missouri, USA.ORCID 0000-0002-9434-7907
Lei LiuDivision of Biostatistics, Washington University School of Medicine (WUSM), St Louis, Missouri, USA.ORCID 0000-0003-1844-338X
Aimee S JamesDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine (WUSM), St Louis, Missouri, USA.
Graham A ColditzDivision of Public Health Sciences, Department of Surgery, Washington University School of Medicine (WUSM), St Louis, Missouri, USA.
Washington University in St. Louis · US

Funding

Washington University Center for Cellular ImagingP30CA091842 · NCI · WASHINGTON UNIVERSITY · PI TIMOTHY J. EBERLEIN · 2001 to 2026
$128.0M
WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Washington University SPORE in Pancreatic CancerP50CA272213 · NCI · WASHINGTON UNIVERSITY · PI William E. Gillanders · 2023 to 2026
$10.7M
Washington University Implementation Science Center for Cancer Control (WU-ISCCC)P50CA244431 · NCI · WASHINGTON UNIVERSITY · PI JAMES, AIMEE S · 2019 to 2023
$8.0M
Implementing multilevel colon cancer screening interventions to reduce rural cancer disparitiesR01CA233848 · NCI · WASHINGTON UNIVERSITY · PI JAMES, AIMEE S · 2019 to 2024
$2.5M
Reducing Rural Colon Cancer Disparities Through Multi-Level Intervention On Follow-Up After Abnormal Screening TestsU01CA209861 · NCI · WASHINGTON UNIVERSITY · PI JAMES, AIMEE S · 2017 to 2017
$476k
NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345NCI NIH HHS P30 CA091842NCI NIH HHS P50 CA244431NCI NIH HHS P50 CA272213NCI NIH HHS R01 CA233848NCI NIH HHS U01 CA209861
6 · The paper itself

Abstract

Cluster randomized trial design may raise financial concerns because the cost to recruit an additional cluster is much higher than to enroll an additional subject in subject-level randomized trials. Therefore, it is desirable to develop an optimal design. For local optimal designs, optimization means the minimum variance of the estimated treatment effect under the total budget. The local optimal design derived from the variance needs the input of an association parameter

Indexed as

Research DesignCluster AnalysisHumansOdds RatioRandomized Controlled Trials as TopicSample SizeCluster randomized trialgeneralized estimating equationlocal optimal designMaxiMin designpartially nested designthree-level parallel CRTstwo-level parallel CRTs

Identifiers

PMID37284817
PMCPMC11020688
OpenAlexW4379600545

What OpenQuestion holds

Textmetadata
LicenceTDM
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.