Evidence map›Paper›PMID 37753287›Full record

ArticleERJ open research2023

Computed tomography reveals hypertrophic remodelling of the diaphragm in cystic fibrosis but not in COPD.

Fatemeh Ostadan, Adamo A Donovan, Elias Matouk, Francois Gabriel David, Dylan Marchand, Caroline Reinhold, Dao Nguyen, Peter Goldberg, Andrea Benedetti, Benjamin M Smith and 1 more

Open access · goldAbstract read
In one paragraph

Article in ERJ open research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 2 institutions in 1 country.

Fatemeh OstadanMeakins-Christie Laboratories, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
Adamo A DonovanRespiratory Epidemiology and Clinical Research Unit, Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.ORCID https://orcid.org/0000-0002-0949-4575
Elias MatoukRespiratory Division, Department of Medicine, McGill University, Montreal, QC, Canada.
Francois Gabriel DavidMeakins-Christie Laboratories, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
Dylan MarchandMeakins-Christie Laboratories, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
Caroline ReinholdDepartment of Radiology, McGill University, Montreal, QC, Canada.
Dao NguyenMeakins-Christie Laboratories, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.ORCID https://orcid.org/0000-0003-4012-5441
Peter GoldbergMeakins-Christie Laboratories, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
Andrea BenedettiRespiratory Epidemiology and Clinical Research Unit, Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
Benjamin M SmithMeakins-Christie Laboratories, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
Basil J PetrofMeakins-Christie Laboratories, Research Institute of the McGill University Health Centre, Montreal, QC, Canada.
McGill University Health Centre · CAMcGill University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Computed tomography (CT) is increasingly used for assessing skeletal muscle characteristics. In cystic fibrosis (CF) and chronic obstructive pulmonary disease (COPD), reduced limb muscle mass predicts poor clinical outcomes. However, the degree to which quantity or quality of respiratory and nonrespiratory muscles is affected by these diseases remains controversial. Methods: Thoracic CT images of 29 CF, 21 COPD and 20 normal spirometry control subjects were analysed to measure indices of muscle quantity (volume or cross-sectional area) and quality (radiodensity) in respiratory (diaphragm, abdominal) and nonrespiratory (pectoralis, lumbar paraspinal) muscles. Multivariable linear regression assessed relationships of CT measurements with body mass index (BMI), forced expiratory volume in 1 s (FEV Results: Diaphragm volume in CF was significantly higher than in COPD (by 154%) or controls (by 140%). Abdominal muscle area in CF was also greater than in COPD (by 130%). Nonrespiratory muscles in COPD had more low radiodensity muscle (marker of lipid content) compared to CF and controls. In CF but not COPD, higher BMI and FEV Conclusions: Our data suggest that the CF diaphragm undergoes hypertrophic remodelling, whereas in COPD the nonrespiratory muscles show altered muscle quality consistent with greater lipid content. Thoracic CT can thus identify distinctive respiratory and nonrespiratory muscle remodelling signatures associated with different chronic lung diseases.

Identifiers

PMID37753287
PMCPMC10518894
OpenAlexW4385955474

What OpenQuestion holds

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LicenceCC BY-NC
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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.