Evidence map›Paper›PMID 34538942›Full record

ArticleReumatologia2021

Low muscle mass and body composition analysis in a group of postmenopausal women affected by primary Sjögren's syndrome.

Suhel Gabriele Al Khayyat, Paolo Falsetti, Edoardo Conticini, Roberto D'Alessandro, Francesca Bellisai, Stefano Gentileschi, Caterina Baldi, Marco Bardelli, Luca Cantarini, Bruno Frediani

Open access · diamondAbstract read
In one paragraph

Article in Reumatologia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Risk factors of primary SjögrenZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2024
    Review
  2. 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

10 authors at 2 institutions in 2 countries.

Suhel Gabriele Al KhayyatDepartment of Medicine, Surgery and Neurosciences, Rheumatology Unit, University of Siena, Italy.
Paolo FalsettiDepartment of Medicine, Surgery and Neurosciences, Rheumatology Unit, University of Siena, Italy.
Edoardo ConticiniDepartment of Medicine, Surgery and Neurosciences, Rheumatology Unit, University of Siena, Italy.
Roberto D'AlessandroDepartment of Medicine, Surgery and Neurosciences, Rheumatology Unit, University of Siena, Italy.
Francesca BellisaiDepartment of Medicine, Surgery and Neurosciences, Rheumatology Unit, University of Siena, Italy.
Stefano GentileschiDepartment of Medicine, Surgery and Neurosciences, Rheumatology Unit, University of Siena, Italy.
Caterina BaldiDepartment of Medicine, Surgery and Neurosciences, Rheumatology Unit, University of Siena, Italy.
Marco BardelliDepartment of Medicine, Surgery and Neurosciences, Rheumatology Unit, University of Siena, Italy.
Luca CantariniDepartment of Medicine, Surgery and Neurosciences, Rheumatology Unit, University of Siena, Italy.
Bruno FredianiDepartment of Medicine, Surgery and Neurosciences, Rheumatology Unit, University of Siena, Italy.
Center for Rheumatology · USUniversity of Siena · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSarcopenia is the pathological reduction of skeletal muscle mass and strength. This condition is often underestimated in clinical practice, particularly in connective tissue diseases. The purpose of this study is to evaluate the prevalence of low muscle mass in primary Sjögren's syndrome (pSS) and to explore the relationships linking muscles and bone tissue. MATERIAL AND

methodsTwenty-eight postmenopausal pSS patients were matched with 30 healthy controls and their body composition analysis was performed by dual-energy X-ray absorptiometry to investigate for sarcopenia considering appendicular lean mass (ALM) and the skeletal muscle mass index (SMI) as references. Bone mineral density analysis of lumbar spine (L1-L4), whole femur, femoral neck and whole body was also performed. Linear regression was used to assess the relationship between body composition and bone mineralization.

resultsLow muscle mass was significantly higher in the pSS group compared to controls whether expressed as ALM, SMI [odds ratio (OR) = 18.40, confidence interval (CI): 4.84-72.08,

conclusionsFemale pSS patients have lower muscle mass compared to healthy controls and are exposed to a higher risk of developing sarcopenia than healthy subjects. Our research demonstrates that the amount of lean tissue is the main predictor of bone mineralization in pSS.

Indexed as

bone mineral densityosteoporosisprimary Sjögren’s syndromesarcopenia

Identifiers

PMID34538942
PMCPMC8436799
OpenAlexW3174202963

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.