Evidence map›Paper›PMID 42911409›Full record

ArticleRheumatology international2026

Clinical and serological features according to anti-DFS70 antibody status in undifferentiated connective tissue disease: a retrospective cross-sectional study.

Mehmet Nur Kaya, Muhammed Canbaş, Özlem Kılıç, Kemal Tekin, Sedat Yılmaz

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Article in Rheumatology international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from 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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mehmet Nur KayaDepartment of Rheumatology, Faculty of Medicine, Balıkesir University, Balıkesir, Türkiye. mehmetnurkaya@yahoo.com.ORCID http://orcid.org/0000-0003-4368-3078
Muhammed CanbaşDepartment of Rheumatology, Nevşehir State Hospital, Nevşehir, Türkiye.ORCID http://orcid.org/0000-0002-4544-3222
Özlem KılıçDepartment of Rheumatology, Ankara Training and Research Hospital, Ankara, Türkiye.ORCID http://orcid.org/0000-0001-9582-4376
Kemal TekinDepartment of Medical Microbiology, Gülhane Training and Research Hospital, Ankara, Türkiye.ORCID http://orcid.org/0000-0002-6610-6540
Sedat YılmazDepartment of Rheumatology, Gülhane Training and Research Hospital, Ankara, Türkiye.ORCID http://orcid.org/0000-0002-4691-3417

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to compare demographic, clinical, laboratory, and autoantibody profiles between anti-dense fine speckled 70 (DFS70)-positive and -negative patients with undifferentiated connective tissue disease (UCTD). We retrospectively analyzed 284 UCTD patients followed at a tertiary rheumatology centre between January 2017 and December 2024. Patients fulfilling established classification criteria for a defined connective tissue disease were excluded. Patients were stratified according to anti-DFS70 status. Group comparisons were performed, and the Benjamini-Hochberg procedure was applied to control the false discovery rate. A multivariable logistic regression model was additionally used to evaluate the potential confounding effect of hydroxychloroquine use. Of 284 patients, 75 (26.4%) were anti-DFS70 positive and 209 (73.6%) were negative. After false discovery rate correction, arthritis/arthralgia was more frequent in the anti-DFS70-negative group than in the positive group (81.8% vs. 61.3%, adjusted p = 0.034), as was homogeneous ANA pattern (33.5% vs. 12.0%, adjusted p = 0.034). In multivariable analysis, homogeneous ANA pattern remained associated with anti-DFS70 negativity after adjustment for hydroxychloroquine use (OR 2.71, 95% CI 1.16-6.30, p = 0.021), whereas arthritis/arthralgia did not remain statistically significant (OR 1.92, 95% CI 0.95-3.90, p = 0.071). Anti-DFS70 negativity in UCTD was associated with homogeneous ANA pattern. Clinical associations, particularly arthritis/arthralgia, should be interpreted cautiously because of potential confounding by treatment exposure. Further prospective studies are warranted to clarify the clinical significance of anti-DFS70 status in UCTD.

Indexed as

Adaptor Proteins, Signal TransducingAntibodies, AntinuclearAutoantibodiesTranscription FactorsUndifferentiated Connective Tissue DiseasesAdultCross-Sectional StudiesFemaleHumansHydroxychloroquineMaleMiddle AgedRetrospective StudiesAdaptor Proteins, Signal TransducingAntibodies, AntinuclearAutoantibodiesHydroxychloroquinePSIP1 protein, humanTranscription FactorsAntinuclear antibodiesAutoantibodiesConnective tissue diseasesHydroxychloroquineUndifferentiated connective tissue diseases

Identifiers

PMID42911409

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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.