Evidence map›Paper›PMID 38995106›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2024

Longitudinal Changes in a Claims-Based Frailty Proxy Measure Compared to Concurrent Changes in the Fried Frailty Phenotype.

Emilie D Duchesneau, Dae Hyun Kim, Til Stürmer, Katherine Reeder-Hayes, Jessie K Edwards, Keturah R Faurot, Jennifer L Lund

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Associations of summary measures of longitudinal frailty assessments with health outcomes.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  2. 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

7 authors.

Emilie D DuchesneauDepartment of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.ORCID 0000-0002-0974-8539
Dae Hyun KimMarcus Institute for Aging Research, Hebrew SeniorLife, Harvard Medical School, Roslindale, Massachusetts, USA.ORCID 0000-0001-7290-6838
Til StürmerLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Katherine Reeder-HayesLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Jessie K EdwardsDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Keturah R FaurotDepartment of Physical Medicine and Rehabilitation, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0001-6122-7821
Jennifer L LundLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-1108-0689

Funding

Propensity scores and preventive drug use in the elderlyR01AG056479 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Til Sturmer · 2017 to 2026
$5.0M
Program Development (Pilot) CoreP30AG066615 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELIZABETH A FRANKENBERG · 2020 to 2026
$4.1M
Cancer Care Quality Training ProgramT32CA116339 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ETHAN M. BASCH, Stephanie Brooke Wheeler · 2018 to 2026
$3.0M
Mid-Career Mentoring Award For Patient-Oriented Research in Frailty and Health OutcomesK24AG073527 · NIA · HEBREW REHABILITATION CENTER FOR AGED · PI Dae Hyun Kim · 2022 to 2026
$862k
NCI NIH HHS T32 CA116339NIA NIH HHS K24 AG073527NIA NIH HHS P30 AG066615NIA NIH HHS R01 AG056479NIA NIH HHS R01AG056479NIH HHS T32CA116339
6 · The paper itself

Abstract

backgroundFrailty is a dynamic aging-related syndrome, but measuring frailty transitions is challenging. The Faurot frailty index is a validated Medicare claims-based frailty proxy based on demographic and billing information. We evaluated whether 3-year changes in the Faurot frailty index were consistent with concurrent changes in the frailty phenotype in a cohort of older adults.

methodsWe used longitudinal data from the National Health and Aging Trends Study (NHATS) with Medicare claims linkage (2010-2018). We identified older adults (66+ years) in the 2011 and 2015 NHATS cohorts with at least 1 year of Medicare fee-for-service continuous enrollment (N = 6 951). We described annual changes in mean claims-based frailty for up to 3 years, based on concurrent transitions in the frailty phenotype.

resultsAt baseline, 32% were robust, 48% prefrail, and 19% frail based on the frailty phenotype. Mean claims-based frailty for older adults who were robust at baseline and worsened to frail increased over 3 years (0.09-0.25). Similarly, those who worsened from prefrail to frail experienced an increase in mean claims-based frailty (0.14-0.26). Improvements in the frailty phenotype did not correspond to decreases in claims-based frailty. Older adults whose frailty phenotype improved over time had a lower baseline claims-based frailty score than those who experienced stable or worsening frailty.

conclusionsOlder adults who experienced a frailty phenotype worsening over 3 years experienced concurrent increases in the Faurot frailty index. Our results suggest that claims data may be used to identify clinically meaningful worsening in frailty.

Indexed as

Frail ElderlyFrailtyGeriatric AssessmentMedicarePhenotypeAgedAged, 80 and overFemaleHumansLongitudinal StudiesMaleUnited StatesClaims dataLongitudinal studyMedicare

Identifiers

PMID38995106
PMCPMC11333825

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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.