Evidence map›Paper›PMID 34949970›Full record

ArticleContrast media & molecular imaging2021

Prediction of Loss of Muscle Mass in Sarcopenia Using Ultrasonic Diaphragm Excursion.

Bin Zeng, Shaochong He, Hao Lu, Guiyin Liang, Xiaosong Ben, Wenzhao Zhong, Mingsheng Zhang, Hao Wang

Open access · hybridAbstract read
In one paragraph

Article in Contrast media & molecular imaging, 2021. 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
1.0field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Interstitial lung disease in Africa - a need for recognition and earlier diagnosis.African journal of thoracic and critical care medicine · 2022
    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

8 authors at 2 institutions in 1 country.

Bin ZengDepartment of Physical Medicine and Rehabilitation, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.ORCID 0000-0003-2799-8686
Shaochong HeDepartment of Physical Medicine and Rehabilitation, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.ORCID 0000-0002-9749-5999
Hao LuDepartment of Anesthesiology, The First Affiliated Hospital, Jinan University, Guangzhou 510630, China.ORCID 0000-0002-6669-6325
Guiyin LiangDepartment of Physical Medicine and Rehabilitation, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.ORCID 0000-0003-4493-1117
Xiaosong BenDepartment of Thoracic Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.ORCID 0000-0003-1155-7202
Wenzhao ZhongGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.ORCID 0000-0002-4000-6402
Mingsheng ZhangDepartment of Physical Medicine and Rehabilitation, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.ORCID 0000-0003-0078-0118
Hao WangDepartment of Anesthesiology, The First Affiliated Hospital, Jinan University, Guangzhou 510630, China.ORCID 0000-0003-2169-1712
Guangdong Academy of Medical Sciences · CNFirst Affiliated Hospital of Jinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The diagnosis of sarcopenia is based on the mass and function of appendicular skeletal muscle. It is not clear whether diaphragm excursion is related to muscle mass loss. We try to fill the gap by measuring ultrasonic diaphragm excursion during quiet breathing (Dq) and forced deep breathing (Df) and test whether they could predict the muscle mass loss in sarcopenia. Methods: The subjects are recruited from the elderly patients diagnosed with pulmonary nodules in community physical examination. According to the definition, the subjects were divided into group A (who did not meet the diagnostic criteria for muscle mass loss in sarcopenia) and group B (who met the criteria). Participants were assessed for ultrasonic diaphragm excursion, pulmonary function, and cardiopulmonary exercise testing. Logistic regression was used to assess the correlation between right diaphragm excursion and skeletal muscle mass, and receiver-operating characteristic curve (ROC) was applied to determine the best threshold. Results: We recruited 64 elderly participants: 52 in group A (39 males) and 12 in group B (8 males). The Df in group A were higher than in group B (6.02 (5.44-6.60) vs. 4.31 (3.53-5.09) cm, Conclusion: Ultrasonic diaphragm excursion in forced deep breath is helpful for predicting muscle mass loss in sarcopenia. The trial is registered with ChiCTR1800019742.

Indexed as

SarcopeniaAgedDiaphragmHumansMaleMuscle, SkeletalROC CurveUltrasonics

Identifiers

PMID34949970
PMCPMC8668300
OpenAlexW4200058811

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.