Evidence map›Paper›PMID 32107805›Full record

ArticleJournal of internal medicine2020

A roadmap to build a phenotypic metric of ageing: insights from the Baltimore Longitudinal Study of Aging.

P-L Kuo, J A Schrack, M D Shardell, M Levine, A Z Moore, Y An, P Elango, A Karikkineth, T Tanaka, R de Cabo and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of internal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
104citing papers in PubMed, 1 pooled it
8.2field-weighted citation impact, top 1% 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

104 citing papers in PubMed, 1 synthesis or guideline pooled it, 131 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Embracing non-linearity in human ageing.Nature reviews. Genetics · 2026
    Review
  5. Demographic factors associated with skin barrier function in a large population-based study.JID innovations : skin science from molecules to population health · 2026
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  6. A sensorimotor function construct to assess mild cognitive impairment risk.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  7. Observational
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  10. Rising energetic cost of walking predicts cognitive impairment.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Longitudinal associations between medication use and phenotypic aging: insights from the Baltimore longitudinal study of aging.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Observational

44 more citing papers are in PubMed but not listed here.

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

17 authors at 2 institutions in 1 country.

P-L KuoFrom the, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.ORCID 0000-0003-1492-6624
J A SchrackFrom the, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.ORCID 0000-0001-9244-9267
M D ShardellFrom the, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.ORCID 0000-0002-5283-2082
M LevineDepartment of Pathology, Yale School of Medicine, New Haven, CT, USA.ORCID 0000-0001-9890-9324
A Z MooreFrom the, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Y AnLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
P ElangoFrom the, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
A KarikkinethClinical Research Unit, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
T TanakaFrom the, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
R de CaboFrom the, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.ORCID 0000-0002-3354-2442
L M ZukleyClinical Research Unit, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
M AlGhatrifFrom the, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
C W ChiaLaboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
E M SimonsickFrom the, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.ORCID 0000-0002-5460-3494
J M EganLaboratory of Clinical Investigation, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
S M ResnickLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
L FerrucciFrom the, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.ORCID 0000-0002-6273-1613
National Institutes of Health · USYale University · US

Funding

The Baltimore Longitudinal Study Of AgingZIAAG000015 · NIA · NATIONAL INSTITUTE ON AGING · PI SIMONSICK, ELEANOR MARIE · 2009 to 2025
$116.9M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI MARILYN S. ALBERT · 2020 to 2026
$29.3M
Neuroimaging Predictors of Cognitive Decline, Impairment, and ResilienceZIAAG000191 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 2009 to 2025
$26.4M
Early Markers of Alzheimer DiseaseZIAAG000185 · NIA · NATIONAL INSTITUTE ON AGING · PI WALKER, KEENAN · 2009 to 2025
$20.4M
THE BALTIMORE LONGITUDINAL STUDY OF HUMAN AGINGZ01AG000015 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 1985 to 2008
$11.4M
Contribution of sensorimotor function to risk and pathogenic mechanisms of Alzheimer's disease and related dementiasR01AG061786 · NIA · JOHNS HOPKINS UNIVERSITY · PI AGRAWAL, YURI, LIN, FRANK R · 2019 to 2023
$3.7M
Energy Reserves, Physical Activity, and Alzheimer's Disease in the Baltimore Longitudinal Study of AgingU01AG057545 · NIA · JOHNS HOPKINS UNIVERSITY · PI SCHRACK, JENNIFER ANN · 2017 to 2021
$3.0M
Molecular mechanisms and social constructs: How genes and environment regulate the rate of agingR00AG052604 · NIA · YALE UNIVERSITY · PI LEVINE, MORGAN ELYSE, TIGNANELLI, CHRISTOPHER J · 2017 to 2020
$866k
Intramural NIH HHS Z01 AG000015NIA NIH HHS P30 AG066507NIA NIH HHS R00 AG052604NIA NIH HHS R01 AG061786NIA NIH HHS U01 AG057545
6 · The paper itself

Abstract

Over the past three decades, considerable effort has been dedicated to quantifying the pace of ageing yet identifying the most essential metrics of ageing remains challenging due to lack of comprehensive measurements and heterogeneity of the ageing processes. Most of the previously proposed metrics of ageing have been emerged from cross-sectional associations with chronological age and predictive accuracy of mortality, thus lacking a conceptual model of functional or phenotypic domains. Further, such models may be biased by selective attrition and are unable to address underlying biological constructs contributing to functional markers of age-related decline. Using longitudinal data from the Baltimore Longitudinal Study of Aging (BLSA), we propose a conceptual framework to identify metrics of ageing that may capture the hierarchical and temporal relationships between functional ageing, phenotypic ageing and biological ageing based on four hypothesized domains: body composition, energy regulation, homeostatic mechanisms and neurodegeneration/neuroplasticity. We explored the longitudinal trajectories of key variables within these phenotypes using linear mixed-effects models and more than 10 years of data. Understanding the longitudinal trajectories across these domains in the BLSA provides a reference for researchers, informs future refinement of the phenotypic ageing framework and establishes a solid foundation for future models of biological ageing.

Indexed as

AgedAged, 80 and overAgingBaltimoreBody CompositionEnergy MetabolismFemaleHomeostasisHumansLongitudinal StudiesMaleMiddle AgedNervous SystemNeuronal PlasticityPhenotypeReference Valuesaccelerated ageingepidemiologyGerosciencemechanisms of ageingphenotypic ageing

Identifiers

PMID32107805
PMCPMC7670826
OpenAlexW3008932332

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.