Evidence map›Paper›PMID 33204082›Full record

ArticleClinical interventions in aging2020

Functional Age Predicted by Electronic Short Physical Performance Battery Can Detect Frailty Status in Older Adults.

Hee-Won Jung, Taeyang Jin, Ji Yeon Baek, Seongjun Yoon, Eunju Lee, Jack M Guralnik, Il-Young Jang

Erratum issuedAbstract read
In one paragraph

Article in Clinical interventions in aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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

  1. Pooled it
  2. FI-CGA and eFI-CGA in Frailty Care: a Scoping Review.Canadian geriatrics journal : CGJ · 2026
    Review
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  10. Short Physical Performance Battery as a Crosswalk Between Frailty Phenotype and Deficit Accumulation Frailty Index.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Hee-Won JungDivision of Geriatrics, Department of Internal Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID 0000-0002-2583-3354
Taeyang JinDivision of Geriatrics, Department of Internal Medicine, Asan Medical Center, Seoul, Republic of Korea.
Ji Yeon BaekDivision of Geriatrics, Department of Internal Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID 0000-0001-7547-8015
Seongjun YoonDyphi Research Institute, Dyphi Inc., Daejeon, Republic of Korea.
Eunju LeeDivision of Geriatrics, Department of Internal Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID 0000-0003-4612-0625
Jack M GuralnikDivision of Gerontology, Department of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.
Il-Young JangDivision of Geriatrics, Department of Internal Medicine, Asan Medical Center, Seoul, Republic of Korea.ORCID 0000-0003-3617-3301

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe importance of evaluating frailty status of older adults in clinical practice has been gaining attention with cumulative evidence showing its relevance in clinical outcomes and decision-making. We aimed to develop and validate whether the functional age predicted by an electronic continuous short physical performance battery (eSPPB) could predict frailty status. PATIENTS AND

methodsWe reviewed medical records of outpatients (N=834) of Asan Medical Center, aged 51-95 years. We used the eSPPB data of 717 patients as a development cohort, and that of 117 patients, who also underwent comprehensive geriatric assessments, as a validation cohort. Frailty index was calculated by counting deficits of 45 geriatric items including comorbidities, daily functions, mobility, mood, and cognition. For functional age, we used balance score (0-4), gait speed (m/s), and stand-up time (s) measured 5 times in the chair rise test.

resultsFrom the development cohort, we established a functional age using the formula (83.61 - 1.98*[balance score] - 5.21*[gait speed] + 0.23*[stand-up time]), by multivariate linear regression analysis with chronological age as a dependent variable (R

conclusionA newly developed functional age predictor using eSPPB parameters can predict the frailty status as defined by the deficit accumulation method and may serve as a physical biomarker of human aging.

Indexed as

Functional StatusPhysical Functional PerformanceAgedAged, 80 and overCohort StudiesElectronic Health RecordsFemaleFrail ElderlyFrailtyGeriatric AssessmentHumansMaleRepublic of Koreabiomarkerdiagnosisfrailtyphysical performance

Identifiers

PMID33204082
PMCPMC7667698

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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.