Evidence map›Paper›PMID 39727887›Full record

ArticleBiosensors2024

Wearable Fabric System for Sarcopenia Detection.

Zhenhe Huang, Qiuqian Ou, Dan Li, Yuanyi Feng, Liangling Cai, Yue Hu, Hongwei Chu

Abstract read
In one paragraph

Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Zhenhe HuangDepartment of Geriatric Medicine, Shenzhen Nanshan People's Hospital, Shenzhen 518052, China.ORCID 0000-0003-2542-4873
Qiuqian OuSchool of Science, Harbin Institute of Technology (Shenzhen), University Town, Shenzhen 518055, China.
Dan LiDepartment of Geriatric Medicine, Shenzhen Nanshan People's Hospital, Shenzhen 518052, China.
Yuanyi FengDepartment of Geriatric Medicine, Shenzhen Nanshan People's Hospital, Shenzhen 518052, China.
Liangling CaiDepartment of Geriatric Medicine, Shenzhen Nanshan People's Hospital, Shenzhen 518052, China.
Yue HuDepartment of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, China.
Hongwei ChuSchool of Science, Harbin Institute of Technology (Shenzhen), University Town, Shenzhen 518055, China.ORCID 0000-0002-8515-1363

Funding

The Key Project of Shenzhen Nanshan District of Science and Technology NS2023018The Sanming Project of Medicine and The Sub-project of Shenzhen Nanshan District technology research and development and creative design NS2023018The Shenzhen Science and Technology Innovation Committee JCYJ20230807115915033
6 · The paper itself

Abstract

Sarcopenia has been a serious concern in the context of an increasingly aging global population. Existing detection methods for sarcopenia are severely constrained by cumbersome devices, the necessity for specialized personnel, and controlled experimental environments. In this study, we developed an innovative wearable fabric system based on conductive fabric and flexible sensor array. This fabric system demonstrates remarkable pressure-sensing capabilities, with a high sensitivity of 18.8 kPa

Indexed as

SarcopeniaTextilesWearable Electronic DevicesAgedBiosensing TechniquesHumansMonitoring, Physiologichealth monitoringsarcopeniawearable sensor

Identifiers

PMID39727887
PMCPMC11674443

What OpenQuestion holds

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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.