Evidence map›Paper›PMID 36604358›Full record

ArticleClinical rheumatology2023

Diagnostic accuracy and predictive value of autoantibody profiles in patients with systemic sclerosis: a single-center study.

Xiaoying Zhang, Huijuan Zhang, Jing Zhao, Yun Li, Hongyan Wang, Chun Li

Abstract read
PubMed Publisher
In one paragraph

Article in Clinical rheumatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Systemic Sclerosis in Kazakh Patients: A Preliminary Case-Control Immunogenetic Profiling Study.Pathophysiology : the official journal of the International Society for Pathophysiology · 2025
    Article
  4. Observational
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

6 authors at 2 institutions in 1 country.

Xiaoying ZhangDepartment of Rheumatology and Immunology, Peking University People's Hospital, No.11 Xizhimen South St., Beijing, 100044, China.ORCID http://orcid.org/0000-0002-8130-1889
Huijuan ZhangDepartment of Rheumatology, She Xian Hospital, Handan, Hebei Province, China.
Jing ZhaoDepartment of Rheumatology and Immunology, Peking University People's Hospital, No.11 Xizhimen South St., Beijing, 100044, China.
Yun LiDepartment of Rheumatology and Immunology, Peking University People's Hospital, No.11 Xizhimen South St., Beijing, 100044, China.
Hongyan WangDepartment of Rheumatology and Immunology, Peking University People's Hospital, No.11 Xizhimen South St., Beijing, 100044, China.
Chun LiDepartment of Rheumatology and Immunology, Peking University People's Hospital, No.11 Xizhimen South St., Beijing, 100044, China. fiona_leechun@163.com.
Peking University · CNHandan College · CN

Funding

Beijing Natural Science Foundation 7192211China International Medical Foundation Z-2018-40-2101National Natural Science Foundation of China 81871281
6 · The paper itself

Abstract

objectiveTo determine diagnostic accuracy and evaluate the predictive value of autoantibody profiles in patients with systemic sclerosis (SSc).

methodsA total of 140 patients with SSc (125 female, mean age 54.2 ± 14.2 years) were analyzed by a multiplex line immunoassay (Euroimmun) for autoantibodies against 12 SSc-related antigens. Associations between the presence of the autoantibodies and demographic clinical manifestations of patients with SSc were investigated.

resultsThe sensitivity and specificity of this assay were as follows: 32.9% and 99.4% for anti-Scl-70, 29.3% and 88.9% for anti-CENP A, 28.6% and 87.8% for anti-CENP B, 7.1% and 97.8% for anti-RP11, 5.7% and 100% for anti-RP155, 2.9% and 99.4% for anti-NOR 90, 2.9% and 98.9% for anti-Th/To, 1.4% and 96.7% for anti-PM-Scl-100, 5.0% and 98.3% for anti-PM-Scl-75, and 2.9% and 97.2% for anti-Ku, respectively. Anti-Scl-70 was significantly associated with sine scleroderma (P = 0.003), digital ulcers (P = 0.047), and Raynaud's phenomenon as the first clinical manifestation of onset (P = 0.017). SSc-ILD was more common in patients with anti-Scl-70 (P = 0.029) and less frequent in patients with anti-CENP A (P < 0.001) and anti-CENP B (P < 0.001). There was a significant association between PAH with anti-CENP A (P = 0.008) and anti-CENP B (P = 0.025). Renal involvement was significantly related to anti-NOR90 (P = 0.026) and anti-Th/To (P = 0.026).

conclusionsThis study confirmed the important role of autoantibodies in accurately diagnosing SSc. The autoimmune profile of patients with SSc was related to specific disease manifestations. Key Points • Autoantibody profiles were useful for diagnosing SSc and predicting clinical features of patients.

Indexed as

Raynaud DiseaseScleroderma, SystemicAdultAgedAutoantibodiesFemaleHumansImmunoassayMiddle AgedSkin UlcerAutoantibodiesAutoantibodyDiagnosisPredictive valueSystemic sclerosis

Identifiers

PMID36604358
OpenAlexW4313549472

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.