Evidence map›Paper›PMID 35410246›Full record

ArticleArthritis research & therapy2022

Using magnetic resonance imaging to map the hidden burden of muscle involvement in systemic sclerosis.

Laura Ross, Anniina Lindqvist, Benedict Costello, Dylan Hansen, Zoe Brown, Jessica A Day, Wendy Stevens, Andrew Burns, Warren Perera, Marcus Pianta and 2 more

Open access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2022. 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
2.2field-weighted citation impact, top 12% 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, 17 citations in OpenAlex.

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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

12 authors at 4 institutions in 1 country.

Laura RossDepartment of Medicine, The University of Melbourne at St Vincent's Hospital Melbourne, 41 Victoria Pde, Fitzroy, VIC, 3065, Australia.
Anniina LindqvistSports Cardiology Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
Benedict CostelloSports Cardiology Laboratory, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia.
Dylan HansenDepartment of Rheumatology, St Vincent's Hospital, Fitzroy, VIC, Australia.
Zoe BrownDepartment of Medicine, The University of Melbourne at St Vincent's Hospital Melbourne, 41 Victoria Pde, Fitzroy, VIC, 3065, Australia.
Jessica A DayInflammation Division, Walter and Eliza Hall Institute, Parkville, VIC, Australia.
Wendy StevensDepartment of Rheumatology, St Vincent's Hospital, Fitzroy, VIC, Australia.
Andrew BurnsDepartment of Medicine, The University of Melbourne at St Vincent's Hospital Melbourne, 41 Victoria Pde, Fitzroy, VIC, 3065, Australia.
Warren PereraDepartment of Radiology, St Vincent's Hospital, Fitzroy, VIC, Australia.
Marcus PiantaDepartment of Radiology, St Vincent's Hospital, Fitzroy, VIC, Australia.
André La Gerche *Department of Medicine, The University of Melbourne at St Vincent's Hospital Melbourne, 41 Victoria Pde, Fitzroy, VIC, 3065, Australia.
Mandana Nikpour *Department of Medicine, The University of Melbourne at St Vincent's Hospital Melbourne, 41 Victoria Pde, Fitzroy, VIC, 3065, Australia. m.nikpour@unimelb.edu.au.
St Vincent's Hospital · AUBaker Heart and Diabetes Institute · AUUniversity of Melbourne · AUWalter and Eliza Hall Institute of Medical Research · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSkeletal muscle can be directly affected by systemic sclerosis (SSc); however, a significant burden of SSc-associated myopathy is undetected because clinical parameters such as weakness and creatine kinase (CK) are unreliable biomarkers of muscle involvement. This study presents qualitative and quantitative magnetic resonance imaging (MRI) findings that quantify the prevalence of myopathy and evaluate any association between skeletal and cardiac muscle involvement in SSc.

methodsThirty-two patients with SSc who fulfilled the 2013 American College of Rheumatology/European League Against Rheumatism classification criteria underwent skeletal muscle MRI in addition to cardiac MRI. Skeletal muscles were independently assessed by two musculoskeletal radiologists for evidence of oedema, fatty infiltration and atrophy. Skeletal muscle T2 mapping times and percentage fat fraction were calculated. Linear regression analysis was used to evaluate the clinical and myocardial associations with skeletal muscle oedema and fatty infiltration. Cardiac MRI was performed using post gadolinium contrast imaging and parametric mapping techniques to assess focal and diffuse myocardial fibrosis.

resultsThirteen participants (40.6%) had MRI evidence of skeletal muscle oedema. Five (15.6%) participants had fatty infiltration. There was no association between skeletal muscle oedema and muscle strength, creatine kinase, inflammatory markers or fibroinflammatory myocardial disease. Patients with skeletal muscle oedema had higher T2-mapping times; there was a significant association between subjective assessments of muscle oedema and T2-mapping time (coef 2.46, p = 0.02) and percentage fat fraction (coef 3.41, p = 0.02). Diffuse myocardial fibrosis was a near-universal finding, and one third of patients had focal myocardial fibrosis. There was no association between skeletal myopathy detected by MRI and burden of myocardial disease.

conclusionsMRI is a sensitive measure of muscle oedema and systematic assessment of SSc patients using MRI shows that myopathy is highly prevalent, even in patients without symptoms or other signs of muscle involvement. Similarly, cardiac fibrosis is highly prevalent but occurs independently of skeletal muscle changes. These results indicate that novel quantitative MRI techniques may be useful for assessing sub-clinical skeletal muscle disease in SSc.

Indexed as

CardiomyopathiesMuscular DiseasesScleroderma, SystemicCreatine KinaseEdemaFibrosisHumansMagnetic Resonance ImagingMyocardiumCreatine KinaseMagnetic resonance imagingMyopathyMyositisSystemic sclerosis

Identifiers

PMID35410246
PMCPMC8996589
OpenAlexW4223525161

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.