Evidence map›Paper›PMID 39065887›Full record

ArticleSensors (Basel, Switzerland)2024

A Novel Method for Identifying Frailty and Quantifying Muscle Strength Using the Six-Minute Walking Test.

Yunjin Zhang, Minoru Morita, Tsunahiko Hirano, Keiko Doi, Xin Han, Kazuto Matsunaga, Zhongwei Jiang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

7 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Frailty in Pulmonary Hypertension: A Multidimensional Comorbidity.Annals of the American Thoracic Society · 2025
    Review
  6. Article
  7. Pulmonary manifestations of long COVID in Johannesburg, South Africa.Southern African journal of infectious diseases · 2025
    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

7 authors.

Yunjin ZhangFaculty of Engineering, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, 2-16-1 Tokiwadai, Ube 755-8611, Japan.ORCID 0009-0004-4256-5293
Minoru MoritaFaculty of Engineering, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, 2-16-1 Tokiwadai, Ube 755-8611, Japan.ORCID 0000-0002-1102-6041
Tsunahiko HiranoDepartment of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, 1-1-1, Minamikogushi, Ube 755-8505, Japan.ORCID 0000-0002-5475-0806
Keiko DoiDepartment of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, 1-1-1, Minamikogushi, Ube 755-8505, Japan.ORCID 0000-0003-4485-4510
Xin HanFaculty of Engineering, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, 2-16-1 Tokiwadai, Ube 755-8611, Japan.ORCID 0009-0000-1388-7833
Kazuto MatsunagaDepartment of Respiratory Medicine and Infectious Disease, Graduate School of Medicine, Yamaguchi University, 1-1-1, Minamikogushi, Ube 755-8505, Japan.ORCID 0000-0002-0514-3241
Zhongwei JiangFaculty of Engineering, Graduate School of Sciences and Technology for Innovation, Yamaguchi University, 2-16-1 Tokiwadai, Ube 755-8611, Japan.

Funding

Japan Society for the Promotion of Science JP23K07628; JP23K03745
6 · The paper itself

Abstract

The six-minute walking test (6MWT) is an essential test for evaluating exercise tolerance in many respiratory and cardiovascular diseases. Frailty and sarcopenia can cause rapid aging of the cardiovascular system in elderly people. Early detection and evaluation of frailty and sarcopenia are crucial for determining the treatment method. We aimed to develop a wearable measuring system for the 6MWT and propose a method for identifying frailty and quantifying walking muscle strength (WMS). In this study, 60 elderly participants were asked to wear accelerometers behind their left and right ankles during the 6MWT. The gait data were collected by a computer or smartphone. We proposed a method for analyzing walking performance using the stride length (SL) and step cadence (SC) instead of gait speed directly. Four regions (Range I-IV) were divided by cutoff values of SC = 2.0 [step/s] and SL = 0.6 [m/step] for a quick view of the frail state. There were 62.5% of frail individuals distributed in Range III and 72.4% of non-frail individuals in Range I. A concept of a WMS score was proposed for estimating WMS quantitatively. We found that 62.5% of frail individuals were scored as WMS1 and 41.4% of the non-frail elderly as WMS4. The average walking distances corresponding to WMS1-4 were 207 m, 370 m, 432 m, and 462 m, respectively. The WMS score may be a useful tool for quantitatively estimating sarcopenia or frailty due to reduced cardiopulmonary function.

Indexed as

FrailtyGaitMuscle StrengthWalkingWalk TestAgedAged, 80 and overFemaleFrail ElderlyHumansMalefrailtysarcopeniasix-minute walking teststep cadencestride lengthwalking muscle strength

Identifiers

PMID39065887
PMCPMC11281094

What OpenQuestion 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 OpenQuestion graph.