SynthesisArthritis research & therapy2022
The effect of disease-modifying anti-rheumatic drugs on skeletal muscle mass in rheumatoid arthritis patients: a systematic review with meta-analysis.
Synthesis 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 20 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.
- Effects of biologic and target synthetic disease-modifying anti-rheumatic drugs on sarcopenia in spondyloarthritis and rheumatoid arthritis: a systematic review and meta-analysis.Clinical rheumatology · 2023Pooled it
- Longitudinal Course of Muscle Status in Patients With Rheumatoid Arthritis.International journal of rheumatic diseases · 2026Article
- Dual Action of Dipyridamole in Experimental Rheumatoid Arthritis: Suppression of Joint Inflammation and Upregulation of Muscle Anabolism via Adenosine and AMPK Pathways.Arthritis & rheumatology (Hoboken, N.J.) · 2026Article
- Pain management and related factor exploration of rheumatoid arthritis based on nursing science precision health model: a retrospective analysis of 287 cases.Frontiers in medicine · 2026Article
- Biological/targeted synthetic disease-modifying antirheumatic drugs improve not only muscle mass but also phase angle in patients with rheumatoid arthritis.Clinical rheumatology · 2026Article
- Transcending aging: disease specificity, assessment challenges, and management strategies for rheumatoid arthritis-related sarcopenia.Frontiers in medicine · 2026Review
- Utilization of Proteomic Measures for Early Detection of Drug Benefits and Adverse Effects.Journal of clinical pharmacology · 2025Article
- Psoriatic Arthritis and Sarcopenia: A CrossSectional Ultrasonographic Study.Archives of rheumatology · 2025Article
- The Therapeutic Potential of Phytochemicals Unlocks New Avenues in the Management of Rheumatoid Arthritis.International journal of molecular sciences · 2025Review
- Sarcopenia in Rheumatic Diseases: A Hidden Issue of Concern.Diseases (Basel, Switzerland) · 2025Review
- Inflammation and aging-related disease: A transdisciplinary inflammaging framework.GeroScience · 2025Review
- Identification of immune characteristic biomarkers and therapeutic targets in cuproptosis for rheumatoid arthritis by integrated bioinformatics analysis and single-cell RNA sequencing analysis.Frontiers in medicine · 2025Article
- Treatment with tofacitinib attenuates muscle loss through myogenin activation in the collagen-induced arthritis.Advances in rheumatology (London, England) · 2024Article
- Cachexia in preclinical rheumatoid arthritis: Longitudinal observational study of thigh magnetic resonance imaging from osteoarthritis initiative cohort.Journal of cachexia, sarcopenia and muscle · 2024Observational
- Review
- Effects of Tofacitinib on Muscle Remodeling in Experimental Rheumatoid Sarcopenia.International journal of molecular sciences · 2023Article
- Rheumatoid sarcopenia: loss of skeletal muscle strength and mass in rheumatoid arthritis.Nature reviews. Rheumatology · 2023Review
- Sarcopenia in Rheumatoid arthritis. A narrative review.Journal of frailty, sarcopenia and falls · 2023Review
- Article
- Comment on "The effect of disease-modifying anti-rheumatic drugs on skeletal muscle mass in rheumatoid arthritis patients: a systematic review with meta-analysis".Arthritis research & therapy · 2022Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionRheumatoid arthritis (RA) is an autoimmune disease, characterized by chronic and systemic inflammation. Besides, it is known that RA patients may present several comorbidities, such as sarcopenia, a condition where patients present both muscle mass and muscle quality impairment. RA treatment is mostly pharmacological and consists in controlling systemic inflammation and disease activity. Despite that, the effect of pharmacological treatment on sarcopenia is not well characterized.
objectiveTo summarize the effects of disease-modifying anti-rheumatic drugs (DMARDs) on skeletal muscle tissue in rheumatoid arthritis (RA) patients.
methodsA systematic review of randomized clinical trials and observational studies was conducted using MEDLINE, Embase, Cochrane Library, and Web of Science. We selected studies with rheumatoid arthritis patients treated with disease-modifying anti-rheumatic drugs (DMARDs) that analyzed muscle mass parameters such as lean mass and appendicular lean mass. Methodological quality was assessed using the Newcastle-Ottawa Quality Assessment Scale. Standardized mean difference (SMD) and 95% confidence intervals (CI) were set. A meta-analysis of observational studies was performed using the R software, and we considered significant statistics when p < 0.05.
resultsNine studies were included in this systematic review. In the meta-analysis, DMARD treatment had no positive difference (p = 0.60) in lean mass. In the same way, in the appendicular lean mass parameter, our results showed that DMARDs did not have changes between baseline and post-treatment analysis (p = 0.93).
conclusionThere is no evidence of a significant effect of DMARD therapy, either synthetic or biological, on muscle mass. However, this association should be investigated with more studies.
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Registered trials
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.