Evidence map›Paper›PMID 40408236›Full record

ArticleRheumatology (Oxford, England)2025

Does body composition matter in patients with systemic sclerosis?

Chiara Giraudo, Giulia Fichera, Marco Binda, Beatrice Moccaldi, Elisabetta Cocconcelli, Anna Cuberli, Anna Michielin, Andrea Doria, Roberto Stramare, Elisabetta Balestro and 1 more

Abstract read
In one paragraph

Article in Rheumatology (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Chiara GiraudoUnit of Advanced Clinical and Translational Imaging, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padova University Hospital, Padova, Italy.
Giulia FicheraUnit of Advanced Clinical and Translational Imaging, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padova University Hospital, Padova, Italy.
Marco BindaRheumatology Unit, Department of Medicine-DIMED, Padova University Hospital, Padova, Italy.
Beatrice MoccaldiRheumatology Unit, Department of Medicine-DIMED, Padova University Hospital, Padova, Italy.
Elisabetta CocconcelliRespiratory Disease Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padova University Hospital, Padova, Italy.
Anna CuberliRheumatology Unit, Department of Medicine-DIMED, Padova University Hospital, Padova, Italy.
Anna MichielinUnit of Advanced Clinical and Translational Imaging, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padova University Hospital, Padova, Italy.
Andrea DoriaRheumatology Unit, Department of Medicine-DIMED, Padova University Hospital, Padova, Italy.ORCID 0000-0003-0548-4983
Roberto StramareUnit of Advanced Clinical and Translational Imaging, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padova University Hospital, Padova, Italy.
Elisabetta BalestroRespiratory Disease Unit, Department of Cardiac, Thoracic, Vascular Sciences and Public Health, Padova University Hospital, Padova, Italy.
Elisabetta ZanattaRheumatology Unit, Department of Medicine-DIMED, Padova University Hospital, Padova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesBody composition plays a significant role in various rheumatic and autoinflammatory diseases. The aim of our study was to assess the impact of muscle mass and subcutaneous adipose tissue quality and quantity in patients with SSc.

methodsAdults with SSc referring to our tertiary centre who underwent high-resolution chest CT (HRCT) to assess pulmonary involvement were included. A semi-automatic segmentation of the subcutaneous fat and paravertebral muscle was performed at the level of the 12th dorsal vertebra, and body composition metrics were collected (subcutaneous fat and paravertebral muscle area and density). Stepwise linear regression analysis was applied to evaluate if body composition, demographics and pulmonary function tests acted as predictors of mortality. Considering patients with muscle Hu values <30 as affected by myosteatosis, we used the odds-risk ratio to assess if it is associated with a higher risk of mortality.

resultsEighty-seven SSc patients (77 females, age 60 ± 15 years, 61% affected by limited cutaneous SSc) were included. The linear model demonstrated that lower DLCO (P = 0.047), higher BMI (P = 0.013), higher density of the subcutaneous fat (P = 0.005) and lower skeletal muscle index (P < 0.001) acted as predictors of mortality. Overall, 63 patients (72%) were affected by myosteatosis (i.e. Hu <30 Hu) and patients affected by muscle fat infiltration at CT showed a 3.345 times higher mortality risk (95% CI 0.396-28.295).

conclusionPatients with SSc are affected by myosteatosis and pre-sarcopenia and body composition seems to influence the overall outcome.

Indexed as

Body CompositionMuscle, SkeletalScleroderma, SystemicSubcutaneous FatAdultAgedBody Mass IndexFemaleHumansMaleMiddle AgedRespiratory Function TestsTomography, X-Ray Computedbody compositionCTimagingSSc

Identifiers

PMID40408236
PMCPMC12494221

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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.