Diagnosis of Systemic Rheumatic Disease Using the Connective Tissue Disease Screen.

Abeline Kapuczinski, Dorian Parisis, Nour Kassab, Julie Smet, Muhammad Soyfoo

Abstract readReview

In one paragraph

Review in Antibodies (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Targeted next-generation sequencing of bronchoalveolar lavage fluid for pathogen detection in connective tissue disease-related pulmonary infections.Microbiology spectrum · 2026
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

5 authors.

Abeline KapuczinskiDepartment of Rheumatology, Hôpital Erasme, H.U.B, Université Libre de Bruxelles, 1070 Brussels, Belgium.

Dorian ParisisDepartment of Rheumatology, Hôpital Erasme, H.U.B, Université Libre de Bruxelles, 1070 Brussels, Belgium.

Nour KassabDepartment of Rheumatology, Hôpital Erasme, H.U.B, Université Libre de Bruxelles, 1070 Brussels, Belgium.

Julie SmetLaboratory of Immunology, Laboratoire Hospitalier Universitaire de Bruxelles-Université Libre de Bruxelles (LHUB-ULB), 1000 Bruxelles, Belgium.

Muhammad SoyfooDepartment of Rheumatology, Hôpital Erasme, H.U.B, Université Libre de Bruxelles, 1070 Brussels, Belgium.ORCID 0000-0002-9051-1810

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Connective tissue diseases (CTDs) comprise a heterogeneous group of autoimmune conditions characterized by diverse clinical manifestations and autoantibody profiles, posing significant diagnostic challenges. This systematic review and meta-analysis evaluated the diagnostic performance of automated connective tissue disease screening assays, commonly known as CTD screens, in diagnosing systemic rheumatic diseases. Eleven studies, including cohort and case-control designs, involving a total of 2384 CTD-positive patients, 8972 controls without CTD, and 679 healthy blood donors, were analyzed. The results demonstrated a pooled sensitivity of 79.36% and specificity of 90.79% for Elia

Indexed as

autoantibodiesautoimmune diseasesdiagnostic performancescreening assays

Identifiers

PMID40700296

DOI10.3390/antib14030056

PMCPMC12286154

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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.