Evidence map›Paper›PMID 40052564›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2025

Workshop Report-Heterogeneity and Successful Aging Part I: Heterogeneity in Aging-Challenges and Opportunities.

George A Kuchel, Andrea L Hevener, J Graham Ruby, Paola Sebastiani, Vivek Kumar

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2025. 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

5 authors.

George A KuchelUConn Center on Aging, University of Connecticut School of Medicine, Farmington, Connecticut, USA.
Andrea L HevenerDivision of Endocrinology, Diabetes and Hypertension, Department of Medicine, University of California, Los Angeles, Los Angeles, California, USA.ORCID 0000-0003-1508-4377
J Graham RubyCalico Life Sciences LLC, South San Francisco, California, USA.
Paola SebastianiInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts, USA.
Vivek KumarThe Jackson Laboratory, Bar Harbor, Maine, USA.ORCID 0000-0001-6643-7465

Funding

Research Education ComponentP30AG067988 · NIA · UNIVERSITY OF CONNECTICUT SCH OF MED/DNT · PI Richard H Fortinsky, GEORGE A KUCHEL · 2021 to 2026
$9.5M
Machine learning based frailty index for the genetically diverse miceR33AG078530 · NIA · JACKSON LABORATORY · PI VIVEK KUMAR · 2024 to 2026
$2.0M
Machine learning based frailty index for the genetically diverse miceR61AG078530 · NIA · JACKSON LABORATORY · PI KUMAR, VIVEK · 2022 to 2023
$946k
NIA NIH HHS P30 AG067988NIA NIH HHS R33 AG078530NIA NIH HHS R61 AG078530NIA UConn Older Americans Independence Pepper Center AG067988
6 · The paper itself

Abstract

Historically, aging research has focused primarily on the study of differences in means of varied measures obtained at different ages. However, growing evidence has shown that for many parameters, variability in measurements obtained both between- and within-age groups increases with aging. Moreover, growing heterogeneity may become especially apparent when examined via longitudinal as opposed to cross-sectional aging data. Efforts to deconvolute and better understand such heterogeneity present remarkable translational opportunities for developing targeted and more effective interventions into aging. Here, we present Part I, a summary of the NIA Heterogeneity and Successful Aging workshop virtually held in May 2023.

Indexed as

AgingAgedCross-Sectional StudiesHumansUnited StatesBiologyDiversityPhysiologyTrajectoriesVariability

Identifiers

PMID40052564
PMCPMC12314531

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.