Evidence map›Paper›PMID 34244759›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2021

Trajectories of Frailty in the 5 Years Prior to Death Among U.S. Veterans Born 1927-1934.

Rachel E Ward, Ariela R Orkaby, Clark Dumontier, Brian Charest, Chelsea E Hawley, Enzo Yaksic, Lien Quach, Dae H Kim, David R Gagnon, J Michael Gaziano and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Associations of summary measures of longitudinal frailty assessments with health outcomes.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  3. Observational
  4. Article
  5. Article
  6. Progression of Frailty and Cardiovascular Outcomes Among Medicare Beneficiaries.medRxiv : the preprint server for health sciences · 2024
    Article
  7. Review
  8. Article
  9. Frailty Trends in an Older Veteran Subpopulation 1 Year Prior and Into the COVID-19 Pandemic Using CAN Scores.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Natural History Trajectories of Frailty in Community-Dwelling Older Japanese Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
  14. Review
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

13 authors at 6 institutions in 1 country.

Rachel E WardMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston HealthCare System, USA.
Ariela R OrkabyNew England Geriatric Research, Education, and Clinical Center (GRECC), VA Boston HealthCare System, Massachusetts, USA.ORCID 0000-0002-4297-6306
Clark DumontierNew England Geriatric Research, Education, and Clinical Center (GRECC), VA Boston HealthCare System, Massachusetts, USA.ORCID 0000-0003-2582-7816
Brian CharestMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston HealthCare System, USA.
Chelsea E HawleyMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston HealthCare System, USA.
Enzo YaksicMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston HealthCare System, USA.
Lien QuachMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston HealthCare System, USA.
Dae H KimHinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, Massachusetts, USA.ORCID 0000-0001-7290-6838
David R GagnonMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston HealthCare System, USA.
J Michael GazianoMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston HealthCare System, USA.
Kelly ChoMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston HealthCare System, USA.
Luc DjousseMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston HealthCare System, USA.
Jane A DriverMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston HealthCare System, USA.
Brigham and Women's Hospital · USVA Boston Healthcare System · USBoston University · USGeriatric Research Education and Clinical Center · USHarvard University · USHebrew SeniorLife · US

Funding

TUFTS--FIELDINGP30AG031679 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI SHALENDER BHASIN · 2008 to 2026
$23.9M
Statins for Primary Prevention of Cardiovascular Disease and FrailtyIK2CX001800 · VA · VA BOSTON HEALTH CARE SYSTEM · PI ORKABY, ARIELA R · 2019 to 2023
–
CSRD VA IK2 CX001800CSRD VA IK2-CX001800CSRD VA IK2 CX002218NIA NIH HHS P30 AG031679NIA NIH HHS P30-AG031679VA 5I01BX003340-02
6 · The paper itself

Abstract

backgroundElectronic frailty indices (eFIs) are increasingly used to identify patients at risk for morbidity and mortality. Whether eFIs capture the spectrum of frailty change, including decline, stability, and improvement, is unknown.

methodsIn a nationwide retrospective birth cohort of U.S. Veterans, a validated eFI, including 31 health deficits, was calculated annually using medical record and insurance claims data (2002-2012). K-means clustering was used to assign patients into frailty trajectories measured 5 years prior to death.

resultsThere were 214 250 veterans born between 1927 and 1934 (mean [SD] age at death = 79.4 [2.8] years, 99.2% male, 90.3% White) with an annual eFI in the 5 years before death. Nine frailty trajectories were identified. Those starting at nonfrail or prefrail had 2 stable trajectories (nonfrail to prefrail, n = 29 786 and stable prefrail, n = 28 499) and 2 rapidly increasing trajectories (prefrail to moderately frail, n = 28 244 and prefrail to severely frail, n = 22 596). Those who were mildly frail at baseline included 1 gradually increasing trajectory (mildly to moderately frail, n = 33 806) and 1 rapidly increasing trajectory (mildly to severely frail, n = 15 253). Trajectories that started at moderately or severely frail included 2 gradually increasing trajectories (moderately to severely frail, n = 27 662 and progressing severely frail, n = 14 478) and 1 recovering trajectory (moderately frail to mildly frail, n = 13 926).

conclusionsNine frailty trajectories, including 1 recovering trajectory, were identified in this cohort of older U.S. Veterans. Future work is needed to understand whether prevention and treatment strategies can improve frailty trajectories and contribute to compression of morbidity toward the end of life.

Indexed as

FrailtyVeteransAgedFemaleFrail ElderlyGeriatric AssessmentHumansMaleRetrospective StudiesFrailtyGeriatric assessmentMultimorbiditiesTrajectories

Identifiers

PMID34244759
PMCPMC8825219
OpenAlexW3182080110

What OpenQuestion holds

Textmetadata
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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.