Evidence map›Paper›PMID 38664604›Full record

ArticleBMC geriatrics2024

A simple scoring algorithm based on intrinsic capacity for functional ability in community-dwelling older adults in Taiwan.

Ya-Hui Chang, Chung-Ying Lin, Yu-Tsung Chou, Hung-Yu Chen, Hui-Chen Su, Yi-Lin Wu, Yi-Ching Yang, Wen-Hsuan Hou

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC geriatrics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Examination of Total Hours of Volunteering or Informal Helping Among Older Adults and Risk of Future Functional Disability Using Data From a Large Panel Study.The American journal of occupational therapy : official publication of the American Occupational Therapy Association · 2026
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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

8 authors at 3 institutions in 1 country.

Ya-Hui Chang *Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Chung-Ying LinInstitute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Yu-Tsung ChouDepartment of Health Management Center, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan.
Hung-Yu ChenDepartment of Health Management Center, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan.
Hui-Chen SuDepartment of Neurology, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan.
Yi-Lin WuDepartment of Nursing, College of Medicine, National Cheng Kung University Hospital, National Cheng Kung University, Tainan, Taiwan.
Yi-Ching Yang *Department of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Wen-Hsuan HouDepartment of Public Health, College of Medicine, National Cheng Kung University, Tainan, Taiwan. houwh@tmu.edu.tw.
National Cheng Kung University Hospital · TWNational Cheng Kung University · TWTaipei Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIntrinsic capacity (IC) is a comprehensive indicator of the overall well-being of older adults, and assessing of IC can help identify early stage of disability and tailor intervention to individual needs. However, there is a lack of effective and simple IC assessment tools. This study aimed to establish predictive scoring algorithms of IC to identify older adults at high risk of impaired functional ability.

methodsWe conducted a cross-sectional study in Southern Taiwan, measuring IC using 7 subitems: cognition, locomotion, vitality, vision, hearing, psychological well-being, and medication usage were measured. Functional ability outcomes included frailty, basic activities of daily living, and instrumental activities of daily living (IADL). The capability of 7 domains of IC in predicting functional ability was assessed by multivariable logistic regression. The prediction of capability of scoring algorithms was indicated by receiver operating characteristic (AUC) curves and measures of sensitivity and specificity.

resultsA total of 1,152 older adults were recruited and analyzed. Locomotion emerged as a significant predictor of IADL disability and worsening frailty. The IC-based weighted scoring algorism for predicting IADL demonstrated satisfactory capability (AUC: 0.80), as did the algorithm for predicting worsening frailty (AUC: 0.90). The optimal cutoff points for predicting IADL disability and frailty worse were estimated respectively at 13 and 16, with sensitivity/specificity values of 0.74/0.75 for the IADL prediction algorithm and 0.92/0.77 for the frailty prediction algorithm.

conclusionOur 7-domain IC screening tool proves to be sensitive and practical for early identification of functional disability and frailty among community-dwelling older adults in Taiwan.

Indexed as

Activities of Daily LivingAlgorithmsGeriatric AssessmentIndependent LivingAgedAged, 80 and overCross-Sectional StudiesDisability EvaluationFemaleFrailtyHumansMaleTaiwanActivity of daily livingFrailtyICOPES-TWIntegrated care for older adultsIntrinsic capacityOlder adults

Identifiers

PMID38664604
PMCPMC11044441
OpenAlexW4395463719

What Socratic holds

Textmetadata
LicenceCC BY
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.