Evidence map›Paper›PMID 34536287›Full record

ArticleJournal of the American Geriatrics Society2022

Life expectancy estimates based on comorbidities and frailty to inform preventive care.

Nancy L Schoenborn, Amanda L Blackford, Corinne E Joshu, Cynthia M Boyd, Ravi Varadhan

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
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  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Frailty in Older Adults.The New England journal of medicine · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Early or Late-Life Treatment With Acarbose or Rapamycin Improves Physical Performance and Affects Cardiac Structure in Aging Mice.The journals of gerontology. Series A, Biological sciences and medical sciences · 2023
    Article
  16. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Nancy L SchoenbornDepartment of Medicine, Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.ORCID 0000-0001-5053-5132
Amanda L BlackfordDepartment of Oncology, Division of Biostatistics and Bioinformatics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Corinne E JoshuDepartment of Epidemiology, Johns Hopkins University School of Public Health, Baltimore, MD, Maryland, USA.
Cynthia M BoydDepartment of Medicine, Division of Geriatric Medicine and Gerontology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Ravi VaradhanDepartment of Oncology, Division of Biostatistics and Bioinformatics, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
Patient-Centered Care for Older Adults with Multiple Chronic Conditions: Research and Mentoring ProgramK24AG056578 · NIA · JOHNS HOPKINS UNIVERSITY · PI BOYD, CYNTHIA MELINDA · 2017 to 2021
$1.1M
Improving cancer screening in older adults with limited life expectancyK76AG059984 · NIA · JOHNS HOPKINS UNIVERSITY · PI SCHOENBORN, NANCY · 2018 to 2021
$972k
NCI NIH HHS P30 CA006973NCI NIH HHS P30CA006973NIA NIH HHS K24 AG056578NIA NIH HHS K24AG056578NIA NIH HHS K76 AG059984NIA NIH HHS K76AG059984
6 · The paper itself

Abstract

backgroundLong-term prognostication is important to inform preventive care in older adults. Existing prediction indices incorporate age and comorbidities. Frailty is another important factor in prognostication. In this project, we aimed at developing life expectancy estimates that incorporate both comorbidities and frailty.

methodsIn this retrospective cohort study, we used data from a 5% sample of Medicare beneficiaries with and without history of cancer from Surveillance, Epidemiology, and End Results (SEER) cancer registry areas. We included adults aged 66-95 years who were continuously enrolled in fee-for-service Medicare for ≥1 year from 1998 to 2014. Participants were followed for survival until 12/31/2015, death, or disenrollment. Comorbidity (none, low/medium, high) and frailty categories (low, high) were defined using established methods for claims. We estimated 5- and 10-year survival probabilities and median life expectancies by age, sex, comorbidities, and frailty.

resultsThe study included 479,646 individuals (4,128,316 person-years), of whom most were women (58.7%). Frailty scores varied widely among participants in the same comorbidity category. In Cox models, both comorbidities and frailty were independent predictors of mortality. Individuals with high comorbidities (HR, 3.24; 95% CI, 3.20-3.28) and low/medium comorbidities (HR, 1.36; 95% CI, 1.34-1.39) had higher risks of death than those with no comorbidities. Compared to low frailty, high frailty was associated with higher risk of death (HR, 1.55; 95% CI, 1.52-1.58). Frailty affected life expectancy estimates in ways relevant to preventive care (i.e., distinguishing <10-year versus >10-year life expectancy) in multiple subgroups.

conclusionIncorporating both comorbidities and frailty may be important in estimating long-term life expectancies of older adults. Our life expectancy tables can aid clinicians' prognostication and inform simulation models and population health management.

Indexed as

Geriatric AssessmentLife ExpectancyAgedAged, 80 and overComorbidityFemaleFrailtyHumansKaplan-Meier EstimateMaleMedicareRetrospective StudiesSex DistributionUnited Statescomorbiditiesfrailtyprognostication

Identifiers

PMID34536287
PMCPMC8742754

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.