Evidence map›Paper›PMID 33368158›Full record

Observational studyJournal of the American Geriatrics Society2021

Progression of Physical Frailty and the Risk of All-Cause Mortality: Is There a Point of No Return?

Qian-Li Xue, Karen Bandeen-Roche, Jing Tian, Judith D Kasper, Linda P Fried

Abstract readObservational Study
In one paragraph

Observational study in Journal of the American Geriatrics Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–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

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  9. Review
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  12. The association of frailty with health care costs using the FRAIL scale.Aging clinical and experimental research · 2026
    Article
  13. Article
  14. Frailty of Health Care Systems.Canadian geriatrics journal : CGJ · 2025
    Article
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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.

Qian-Li XueDepartment of Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.
Karen Bandeen-RocheCenter on Aging and Health, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA.
Jing TianCenter on Aging and Health, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA.
Judith D KasperDepartment of Health Policy and Management, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA.
Linda P FriedDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA.

Funding

The National Health and Trends StudyU01AG032947 · NIA · JOHNS HOPKINS UNIVERSITY · PI VICKI A. FREEDMAN, JENNIFER ANN SCHRACK · 2008 to 2026
$169.4M
Technological Assessment and Solutions Core - RC4P30AG021334 · NIA · JOHNS HOPKINS UNIVERSITY · PI Jeremy D Walston · 2003 to 2026
$33.2M
NIA NIH HHS P30 AG021334NIA NIH HHS P30AG021334NIA NIH HHS U01 AG032947NIA NIH HHS U01AG032947
6 · The paper itself

Abstract

objectivesTo investigate the rate and patterns of accumulation of frailty manifestations in relationship to all-cause mortality and whether there is a point in the progression of frailty beyond which the process becomes irreversible and death becomes imminent (a.k.a. point of no return).

designLongitudinal observational study.

settingCommunity or a non-nursing home residential care setting.

participantsTwo thousand five hundred and fifty seven robust older adults identified at baseline in 2011 with follow-up for all-cause mortality between 2011 and 2018. MEASUREMENTS: Frailty was measured by the physical frailty phenotype. Cox models were used to study the relationships of the number of frailty criteria (0-5) at each point in time and its accumulation patterns with all-cause mortality. Markov state-transition models were used to study annual transitions between health states (i.e., frailty, recovery, and death) after becoming frail among those with frailty onset (n = 373).

resultsThere was a nonlinear association between greater number of frailty criteria and increasing risk of mortality, with a notable risk acceleration after having accumulated all five criteria (hazard ratio (HR) = 32.6 vs none, 95% confidence interval (CI) = 15.7-67.5). In addition, the risk of one-year mortality tripled, and the likelihood of recovery (i.e., reverting to be robust or pre-frail) halved among those with five frailty criteria compared to those with three or four criteria. A 50% increase in mortality risk was also associated with frailty onset without (vs with) a prior history of pre-frailty (HR = 1.51, 95% CI = 1.20-1.90).

conclusionBoth the number and rate of accumulation of frailty criteria were associated with mortality risk. Although there was insufficient evidence to declare a point of no return, having all five-frailty criteria signals the beginning of a transition toward a point of no return. Ongoing monitoring of frailty progression could aid clinical and personal decision-making regarding timing of intervention and eventual transition from curative to palliative care.

Indexed as

Clinical Decision RulesFrailtyMortalityAgedCause of DeathClinical DeteriorationDisease ProgressionFemaleFrail ElderlyGeriatric AssessmentHumansIndependent LivingMalePalliative CareResidential FacilitiesRisk Assessmentaging phenotypecomorbiditycritical transitionpalliative carevulnerability

Identifiers

PMID33368158
PMCPMC8049969

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

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 Socratic graph.