Evidence map›Paper›PMID 37063472›Full record

ArticleNature aging2022

Randomization, design and analysis for interdependency in aging research: no person or mouse is an island.

Daniella E Chusyd, Steven N Austad, Stephanie L Dickinson, Keisuke Ejima, Gary L Gadbury, Lilian Golzarri-Arroyo, Richard J Holden, Yasaman Jamshidi-Naeini, Doug Landsittel, Tapan Mehta and 10 more

Erratum issuedAbstract read
In one paragraph

Article in Nature aging, 2022. 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Quantifying the Impact of Co-Housing on Murine Aging Studies.bioRxiv : the preprint server for biology · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Daniella E ChusydDepartment of Environmental and Occupational Health, Indiana University-Bloomington, Bloomington, IN, USA.ORCID 0000-0002-9867-944X
Steven N AustadDepartment of Biology, University of Alabama at Birmingham, Birmingham, AL, USA.ORCID 0000-0003-4798-8442
Stephanie L DickinsonDepartment of Epidemiology and Biostatistics, Indiana University-Bloomington, Bloomington, IN, USA.ORCID 0000-0002-2998-4467
Keisuke EjimaDepartment of Epidemiology and Biostatistics, Indiana University-Bloomington, Bloomington, IN, USA.ORCID 0000-0002-1185-3987
Gary L GadburyDepartments of Statistics, Kansas State University, Manhattan, KS, USA.
Lilian Golzarri-ArroyoDepartment of Epidemiology and Biostatistics, Indiana University-Bloomington, Bloomington, IN, USA.ORCID 0000-0002-1221-6701
Richard J HoldenDepartment of Health & Wellness Design, Indiana University-Bloomington, Bloomington, IN, USA.
Yasaman Jamshidi-NaeiniDepartment of Epidemiology and Biostatistics, Indiana University-Bloomington, Bloomington, IN, USA.ORCID 0000-0003-4769-2764
Doug LandsittelDepartment of Epidemiology and Biostatistics, Indiana University-Bloomington, Bloomington, IN, USA.
Tapan MehtaDepartment of Family and Community Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA.
J Michael OakesDepartment of Quantitative Health Science, Case Western Reserve University, Cleveland, OH, USA.
Arthur H OworaDepartment of Epidemiology and Biostatistics, Indiana University-Bloomington, Bloomington, IN, USA.
Greg PavelaSchool of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.
Javier RojoDepartment of Epidemiology and Biostatistics, Indiana University-Bloomington, Bloomington, IN, USA.
Michael W SandelDepartment of Wildlife, Fisheries and Aquaculture, Mississippi State University, Starkville, MS, USA.ORCID 0000-0001-9083-9202
Daniel L SmithNathan Shock Center, University of Alabama at Birmingham, Birmingham, AL, USA.
Colby J VorlandDepartment of Applied Health Science, Indiana University-Bloomington, Bloomington, IN, USA.ORCID 0000-0003-4225-372X
Pengcheng XunDepartment of Epidemiology and Biostatistics, Indiana University-Bloomington, Bloomington, IN, USA.ORCID 0000-0002-6245-4505
Roger ZohDepartment of Epidemiology and Biostatistics, Indiana University-Bloomington, Bloomington, IN, USA.
David B AllisonDepartment of Epidemiology and Biostatistics, Indiana University-Bloomington, Bloomington, IN, USA.ORCID 0000-0003-3566-9399

Funding

Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2000 to 2026
$31.9M
Sex hormones and arthritis in a long lived animal modelP30AG050886 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Thomas W Buford · 2015 to 2026
$11.3M
Nathan Shock Centers Coordinating CenterU24AG056053 · NIA · AMERICAN FEDERATION FOR AGING RESEARCH · PI STEVEN N. AUSTAD, Stephanie Lederman · 2017 to 2026
$6.1M
Early life trauma and aging using a long-lived animal modelK01AG072615 · NIA · TRUSTEES OF INDIANA UNIVERSITY · PI Daniella E. Chusyd · 2022 to 2026
$653k
NIA NIH HHS K01 AG072615NIA NIH HHS P30 AG050886NIA NIH HHS U24 AG056053NIDDK NIH HHS P30 DK056336
6 · The paper itself

Abstract

Investigators traditionally use randomized designs and corresponding analysis procedures to make causal inferences about the effects of interventions, assuming independence between an individual's outcome and treatment assignment and the outcomes of other individuals in the study. Often, such independence may not hold. We provide examples of interdependency in model organism studies and human trials and group effects in aging research and then discuss methodologic issues and solutions. We group methodologic issues as they pertain to (1) single-stage individually randomized trials; (2) cluster-randomized controlled trials; (3) pseudo-cluster-randomized trials; (4) individually randomized group treatment; and (5) two-stage randomized designs. Although we present possible strategies for design and analysis to improve the rigor, accuracy and reproducibility of the science, we also acknowledge real-world constraints. Consequences of nonadherence, differential attrition or missing data, unintended exposure to multiple treatments and other practical realities can be reduced with careful planning, proper study designs and best practices.

Indexed as

GeroscienceAnimalsCausalityHumansMiceRandom AllocationReproducibility of Results

Identifiers

PMID37063472
PMCPMC10099485

What OpenQuestion holds

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Registered trials

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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.