Evidence map›Paper›PMID 34042326›Full record

ArticleArthritis & rheumatology (Hoboken, N.J.)2021

Anticentromere Antibody Levels and Isotypes and the Development of Systemic Sclerosis.

Nina M van Leeuwen, Maaike Boonstra, Jaap A Bakker, Annette Grummels, Suzana Jordan, Sophie Liem, Oliver Distler, Anna-Maria Hoffmann-Vold, Karin Melsens, Vanessa Smith and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Arthritis & rheumatology (Hoboken, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Disease progression in systemic sclerosis.Rheumatology (Oxford, England) · 2021
    Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 5 institutions in 5 countries.

Nina M van LeeuwenLeiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0003-4228-012X
Maaike BoonstraLeiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-3322-0160
Jaap A BakkerLeiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-2918-7361
Annette GrummelsLeiden University Medical Center, Leiden, The Netherlands.
Suzana JordanUniversity Hospital Zurich, Zurich, Switzerland.
Sophie LiemLeiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0003-0328-7062
Oliver DistlerUniversity Hospital Zurich, Zurich, Switzerland.ORCID 0000-0002-2413-1959
Anna-Maria Hoffmann-VoldOslo University Hospital and Rikshospitalet, Oslo, Norway.
Karin MelsensGhent University, Ghent University Hospital, and VIB-UGent Center for Inflammation Research, Ghent, Belgium.ORCID 0000-0003-4125-7163
Vanessa SmithGhent University, Ghent University Hospital, and VIB-UGent Center for Inflammation Research, Ghent, Belgium.
Marie-Elise TruchetetBordeaux University Hospital, Bordeaux, France.
Hans U SchererLeiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-5700-5617
René ToesLeiden University Medical Center, Leiden, The Netherlands.
Tom W J HuizingaLeiden University Medical Center, Leiden, The Netherlands.
Jeska K de Vries-BouwstraLeiden University Medical Center, Leiden, The Netherlands.
Leiden University Medical Center · NLGhent University Hospital · BEUniversity Hospital of Zurich · CHOslo University Hospital · NOUniversité de Bordeaux · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLittle is known on the disease course of very early systemic sclerosis (SSc). Among the information yet to be elucidated is whether anticentromere antibody (ACA) isotype levels can serve as biomarkers for future SSc development and for organ involvement. This study was undertaken to evaluate whether IgG, IgM, and IgA ACA levels in IgG ACA-positive patients are associated with disease severity and/or progression from very early SSc to definite SSc.

methodsIgG ACA-positive patients from 5 different cohorts who had very early SSc or SSc fulfilling the American College of Rheumatology (ACR)/European Alliance of Associations for Rheumatology (EULAR) 2013 criteria were included. A diagnosis of very early SSc was based on the presence of IgG ACAs and Raynaud's phenomenon, and/or puffy fingers and/or abnormal nailfold capillaroscopy, but not fulfilling the ACR/EULAR 2013 criteria for SSc. Multivariable regression analyses were performed to determine the association between baseline ACA isotype levels and progression to definite SSc with organ involvement.

resultsSix hundred twenty-five IgG ACA-positive patients were included, of whom 138 (22%) fulfilled the criteria for very early SSc and 487 (78%) had definite SSc. Levels of IgG ACAs (odds ratio 2.5 [95% confidence interval 1.8-3.7]) and IgM ACAs (odds ratio 1.8 [95% confidence interval 1.3-2.3]) were significantly higher in patients with definite SSc. Of 115 patients with very early SSc with follow-up, progression to definite SSc occurred within 5 years in 48 (42%). Progression to definite SSc was associated with higher IgG ACA levels at baseline (odds ratio 4.3 [95% confidence interval 1.7-10.7]).

conclusionACA isotype levels may serve as biomarkers to identify patients with very early SSc who are at risk for disease progression to definite SSc.

Indexed as

AdultAgedAntibodies, AntinuclearBiomarkersFemaleHumansMaleMicroscopic AngioscopyMiddle AgedScleroderma, SystemicSeverity of Illness IndexAntibodies, Antinuclearanticentromere antibodyBiomarkers

Identifiers

PMID34042326
PMCPMC9297867
OpenAlexW3165246591

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.