Evidence map›Paper›PMID 35792836›Full record

ArticleJournal of the American Geriatrics Society2022

A comprehensive prognostic tool for older adults: Predicting death, ADL disability, and walking disability simultaneously.

Alexandra K Lee, L Grisell Diaz-Ramirez, W John Boscardin, Alexander K Smith, Sei J Lee

Open access · greenAbstract 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 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
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  10. Prognostication in Alzheimer's disease and related dementias.Journal of the American Geriatrics Society · 2025
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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 at 2 institutions in 1 country.

Alexandra K LeeDivision of Geriatrics, Department of Medicine, UCSF, San Francisco, California, USA.ORCID 0000-0001-9525-3833
L Grisell Diaz-RamirezHealth Service Research and Development, San Francisco Veterans Affairs Healthcare System, San Francisco, California, USA.
W John BoscardinDivision of Geriatrics, Department of Medicine, UCSF, San Francisco, California, USA.
Alexander K SmithDivision of Geriatrics, Department of Medicine, UCSF, San Francisco, California, USA.
Sei J LeeDivision of Geriatrics, Department of Medicine, UCSF, San Francisco, California, USA.
San Francisco VA Health Care System · USCancer Research And Biostatistics · US

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
RESEARCH TRAINING IN GERIATRIC MEDICINET32AG000212 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Alexander Keliimoeanu Smith · 1991 to 2026
$7.7M
Developing prognostic models for life expectancy and geriatric outcomesR01AG047897 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI LEE, SEI, SMITH, ALEXANDER KELIIMOEANU · 2015 to 2018
$1.7M
Mentoring Researchers in Prognosis Research in Alzheimer’s Disease and Related DementiasK24AG068312 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Alexander Keliimoeanu Smith · 2020 to 2026
$1.2M
Mentoring Patient-Oriented Research to Individualize Care for Hospitalized Older Adults with and without Alzheimer's Disease and Related DementiasK24AG066998 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Sei Lee · 2021 to 2026
$1.1M
Contributions of Hypoglycemia and Hyperglycemia to Adverse Geriatric Outcomes in NH Residents with Diabetes and Alzheimer's Disease and Related Dementias (ADRD)K01AG073532 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LEE, ALEXANDRA KATHRYN · 2021 to 2025
$714k
HSRD VA I01 HX002135NIA NIH HHS K01 AG073532NIA NIH HHS K24 AG066998NIA NIH HHS K24 AG068312NIA NIH HHS R01 AG047897NIA NIH HHS T32 AG000212NIA NIH HHS T32 AG212000NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

backgroundMany clinical and financial decisions for older adults depend on the future risk of disability and mortality. Prognostic tools for long-term disability risk in a general population are lacking. We aimed to create a comprehensive prognostic tool that predicts the risk of mortality, of activities of daily living (ADL) disability, and walking disability simultaneously using the same set of variables.

methodsWe conducted a longitudinal analysis of the nationally-representative Health and Retirement Study (HRS). We included community-dwelling adults aged ≥70 years who completed a core interview in the 2000 wave of HRS, with follow-up through 2018. We evaluated 40 predictors encompassing demographics, diseases, physical functioning, and instrumental ADLs. We applied novel methods to optimize three models simultaneously while prioritizing variables that take less time to ascertain during backward stepwise elimination. The death prediction model used Cox regression and both the models for walking disability and for ADL disability used Fine and Gray competing-risk regression. We examined calibration plots and generated optimism-corrected statistics of discrimination using bootstrapping. To simulate unavailable patient data, we also evaluated models excluding one or two variables from the final model.

resultsIn 6646 HRS participants, 2662 developed walking disability, 3570 developed ADL disability, and 5689 died during a median follow-up of 9.5 years. The final prognostic tool had 16 variables. The optimism-corrected integrated area under the curve (iAUC) was 0.799 for mortality, 0.685 for walking disability, and 0.703 for ADL disability. At each percentile of predicted mortality risk, there was a substantial spread in the predicted risks of walking disability and ADL disability. Discrimination and calibration remained good even when missing one or two predictors from the model. This model is now available on ePrognosis (https://eprognosis.ucsf.edu/alexlee.php)

conclusionsGiven the variability in disability risk for people with similar mortality risks, using individualized risks of disabilities may inform clinical and financial decisions for older adults.

Indexed as

Activities of Daily LivingPersons with DisabilitiesAgedDisability EvaluationHumansIndependent LivingPrognosisWalkingdisabilitymortalityprediction

Identifiers

PMID35792836
PMCPMC9588505
OpenAlexW4283837750

What OpenQuestion 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 OpenQuestion graph.