Evidence map›Paper›PMID 36749720›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Social Frailty Index: Development and validation of an index of social attributes predictive of mortality in older adults.

Sachin J Shah, Sandra Oreper, Sun Young Jeon, W John Boscardin, Margaret C Fang, Kenneth E Covinsky

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 33 citations in OpenAlex.

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  11. Social and clinical frailty indices in aging mice: a comparative analysis of longitudinal and cross-sectional designs.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
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  19. How well do social frailty indices predict incident dementia in older adults?The journals of gerontology. Series B, Psychological sciences and social sciences · 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

6 authors at 2 institutions in 1 country.

Sachin J ShahDepartment of Medicine, Division of General Internal Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114.ORCID 0000-0001-8400-6888
Sandra OreperDepartment of Medicine, Division of Hospital Medicine, University of California, San Francisco, CA 94117.
Sun Young JeonDepartment of Medicine, Division of Geriatrics, University of California, San Francisco, CA 94118.
W John BoscardinDepartment of Medicine, Division of Geriatrics, University of California, San Francisco, CA 94118.
Margaret C FangDepartment of Medicine, Division of Hospital Medicine, University of California, San Francisco, CA 94117.
Kenneth E CovinskyDepartment of Medicine, Division of Geriatrics, University of California, San Francisco, CA 94118.
University of California, San Francisco · USHarvard University · US

Funding

VARC CoreP30AG044281 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Louise C. Walter · 2013 to 2026
$19.9M
Use and outcomes of anticoagulants for the treatment and prevention of thrombosis among hospitalized patientsK24HL141354 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FANG, MARGARET C. · 2018 to 2022
$731k
Social Vulnerability of Older Adults and the Risk of Medical HospitalizationR03AG060090 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SHAH, SACHIN J · 2019 to 2020
$241k
NHLBI NIH HHS K24 HL141354NIA NIH HHS P30 AG044281NIA NIH HHS R03 AG060090
6 · The paper itself

Abstract

While social characteristics are well-known predictors of mortality, prediction models rely almost exclusively on demographics, medical comorbidities, and function. Lacking an efficient way to summarize the prognostic impact of social factor, many studies exclude social factors altogether. Our objective was to develop and validate a summary measure of social risk and determine its ability to risk-stratify beyond traditional risk models. We examined participants in the Health and Retirement Study, a longitudinal, survey of US older adults. We developed the model from a comprehensive inventory of 183 social characteristics using least absolute shrinkage and selection operator, a penalized regression approach. Then, we assessed the predictive capacity of the model and its ability to improve on traditional prediction models. We studied 8,250 adults aged ≥65 y. Within 4 y of the baseline interview, 22% had died. Drawn from 183 possible predictors, the Social Frailty Index included age, gender, and eight social predictors: neighborhood cleanliness, perceived control over financial situation, meeting with children less than yearly, not working for pay, active with children, volunteering, feeling isolated, and being treated with less courtesy or respect. In the validation cohort, predicted and observed mortality were strongly correlated. Additionally, the Social Frailty Index meaningfully risk-stratified participants beyond the Charlson score (medical comorbidity index) and the Lee Index (comorbidity and function model). The Social Frailty Index includes age, gender, and eight social characteristics and accurately risk-stratifies older adults. The model improves upon commonly used risk prediction tools and has application in clinical, population health, and research settings.

Indexed as

FrailtyAgedChildHumansLongitudinal StudiesRetirementSociological Factorsagingfrailtymortalityrisk predictionsocial determinants

Identifiers

PMID36749720
PMCPMC9963593
OpenAlexW4319334059

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.