Evidence map›Paper›PMID 33975418›Full record

ArticleAnnals of geriatric medicine and research2021

Comparison of Human Interpretation and a Rule-Based Algorithm for Instrumented Sit-to-Stand Test.

Hee-Won Jung, Seongjun Yoon, Ji Yeon Baek, Eunju Lee, Il-Young Jang, Hyunchul Roh

Abstract read
In one paragraph

Article in Annals of geriatric medicine and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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.

Hee-Won JungDivision of Geriatrics, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Seongjun YoonDyphi Research Institute, Dyphi Inc., Daejeon, Korea.
Ji Yeon BaekDivision of Geriatrics, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Eunju LeeDivision of Geriatrics, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Il-Young JangDivision of Geriatrics, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Hyunchul RohDyphi Research Institute, Dyphi Inc., Daejeon, Korea.

Funding

Korea Health Industry Development InstituteMinistry of Health and Welfare HI18C2383
6 · The paper itself

Abstract

backgroundThe five times sit-to-stand test (5STS) is one of the most commonly used tests to assess the physical performance of lower extremities. This study assessed the correlation between human interpretation (5STShuman) and a rule-based algorithm (5STSrule) using instrumented 5STS with two sensors.

methodsWe analyzed clinical records of 148 patients who visited the geriatric outpatient clinic of Asan Medical Center between December 2020 and March 2021 and underwent physical performance assessment using the electronic Short Physical Performance Battery (eSPPB) protocol. For STS, time-weight and time-distance curves were constructed using a loadcell and light detection and ranging (LiDAR). We manually assessed the grids of these curves to calculate 5STShuman, while 5STSrule used an empirical rule-based algorithm.

resultsIn the study population, the mean 5STShuman and 5STSrule times, i.e., 12.2±0.4 and 11.4±0.4 seconds, respectively, did not differ significantly (p=0.232). Linear regression analysis showed that 5STShuman and 5STSrule were positively correlated (β=0.99, R2=0.99). The measures also did not differ (p=0.381) in classifying sarcopenia according to the Asian Working Group Society criteria, with C-indices of 0.826 for 5STShuman and 0.820 for 5STSrule.

conclusionAn empirical rule-based algorithm correlated with human-interpreted 5STS and had comparable classification ability for sarcopenia.

Indexed as

AgingBiomarkersPhysical functional performanceSarcopenia

Identifiers

PMID33975418
PMCPMC8273000

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