Evidence map›Paper›PMID 38515154›Full record

ArticleBMC pulmonary medicine2024

Association between computed tomography-quantified respiratory muscles and chronic obstructive pulmonary disease: a retrospective study.

Ke Wang, Fan Wu, Hua He, Chengyi Hu, Xiaobang Chen, Jinglong Chen, Weitao Cao, Jun Liu, Jun Zhao, Ziwen Zhao and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC pulmonary medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Guideline
  2. Article
  3. 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

11 authors at 4 institutions in 1 country.

Ke Wang *Department of Infectious Diseases, Respiratory and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
Fan Wu *State Key Laboratory of Respiratory Disease & National Clinical Research Center for Respiratory Disease & National Center for Respiratory Medicine & Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou National Laboratory, Guangzhou, China.
Hua He *Department of Infectious Diseases, Respiratory and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
Chengyi Hu *Department of Infectious Diseases, Respiratory and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
Xiaobang ChenDepartment of Infectious Diseases, Respiratory and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
Jinglong ChenDepartment of Geriatrics, National Clinical Key Specialty, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
Weitao CaoDepartment of Infectious Diseases, Respiratory and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
Jun LiuDepartment of Infectious Diseases, Respiratory and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
Jun Zhao
Ziwen ZhaoDepartment of Infectious Diseases, Respiratory and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China.
Zhuxiang ZhaoDepartment of Infectious Diseases, Respiratory and Critical Care Medicine, Guangzhou First People's Hospital, South China University of Technology, Guangzhou, China. zhaozhuxiangzzx@163.com.
South China University of Technology · CNGuangzhou Medical University · CNGuangzhou First People's Hospital · CNFirst Affiliated Hospital of Guangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study examined the association between chest muscles and chronic obstructive pulmonary disease (COPD) and the relationship between chest muscle areas and acute exacerbations of COPD (AECOPD).

methodsThere were 168 subjects in the non-COPD group and 101 patients in the COPD group. The respiratory and accessory respiratory muscle areas were obtained using 3D Slicer software to analysis the imaging of  computed tomography (CT). Univariate and multivariate Poisson regressions were used to analyze the number of AECOPD cases during the preceding year. The cutoff value was obtained using a receiver operating characteristic (ROC) curve.

resultsWe scanned 6342 subjects records, 269 of which were included in this study. We then measured the following muscle areas (non-COPD group vs. COPD group): pectoralis major (19.06 ± 5.36 cm

conclusionThe pectoralis major muscle area was negative associated with COPD. Moreover, there was a negative correlation between the number of AECOPD during the preceding year and the pectoralis major area.

Indexed as

Intercostal MusclesPulmonary Disease, Chronic ObstructiveHumansRespiratory MusclesRetrospective StudiesTomography, X-Ray ComputedAccessory respiratory musclesCOPDCTPectoralis major

Identifiers

PMID38515154
PMCPMC10956391
OpenAlexW4393051385

What OpenQuestion holds

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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.