Evidence map›Paper›PMID 42203828›Full record

ArticleScientific reports2026

Identifying key diaphragm ultrasound predictors for early screening of respiratory sarcopenia.

Liulei Wu, Liangliang Qiu, Siyao Gao, Congni Ye, Jie Chen, Jing Xu, Li Kang, Xiang Xu

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Liulei Wu *Department of Ultrasound, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Liangliang Qiu *Department of Neurology and Institute of Neurology, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Siyao Gao *Department of Ultrasound, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Congni YeDepartment of Ultrasound, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Jie ChenDepartment of Ultrasound, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.
Jing XuDepartment of Ultrasound, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Li KangDepartment of Ultrasound, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China.
Xiang XuDepartment of Ultrasound, the First Affiliated Hospital, Fujian Medical University, Fuzhou, China. riverpicture@163.com.

Funding

Fujian Provincial Finance Project 22SCZZX004Joint Funds for the Innovation of Science and Technology, Fujian Province 2025Y9234National Natural Science Foundation of China 82302089
6 · The paper itself

Abstract

Early screening for respiratory sarcopenia lacks sensitive tools. We evaluated whether diaphragm ultrasound parameters can independently predict respiratory and overall muscle strength in healthy adults. In this cross-sectional study, 149 healthy adults underwent handgrip strength (HGS), maximal inspiratory/expiratory pressures (MIP/MEP), and right ("R-") and left ("L-") diaphragm ultrasound. Diaphragm ultrasound included thickness at functional residual capacity (Th

Indexed as

DiaphragmSarcopeniaAdultCross-Sectional StudiesEarly DiagnosisFemaleHand StrengthHumansMaleMiddle AgedMuscle StrengthUltrasonographyDiaphragm ultrasoundRespiratory muscleRespiratory sarcopeniaVoluntary sniffing

Identifiers

PMID42203828
PMCPMC13443932

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.