Evidence map›Paper›PMID 34261688›Full record

ArticleBMJ open2021

Cohort profile: SCREEN-RA: design, methods and perspectives of a Swiss cohort study of first-degree relatives of patients with rheumatoid arthritis.

Benoit Thomas P Gilbert, Céline Lamacchia, Denis Mongin, Kim Lauper, Eric Trunk, Olivia Studer, Delphine S Courvoisier, Andrea Rubbert-Roth, Diego Kyburz, Burkhard Moeller and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.4field-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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. REDEFINING AUTOIMMUNE DISEASES: THE OPPORTUNITY FOR PRECISION AND PREVENTION.Transactions of the American Clinical and Climatological Association · 2025
    Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Pre-RA: Can early diagnosis lead to prevention?Best practice & research. Clinical rheumatology · 2022
    Review
  14. Characterization of serum biomarkers and antibody responses againstFrontiers in cellular and infection microbiology · 2022
    Article
  15. Article
  16. Review
  17. Review
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

11 authors at 4 institutions in 2 countries.

Benoit Thomas P GilbertDivision of Rheumatology, Geneva University Hospitals (HUG), Geneve, Switzerland benoit.gilbert@etu.unige.ch.ORCID 0000-0001-6037-6470
Céline LamacchiaDivision of Rheumatology, Geneva University Hospitals (HUG), Geneve, Switzerland.
Denis MonginDivision of Rheumatology, Geneva University Hospitals (HUG), Geneve, Switzerland.
Kim LauperDivision of Rheumatology, Geneva University Hospitals (HUG), Geneve, Switzerland.ORCID 0000-0002-4315-9009
Eric TrunkDivision of Rheumatology, Geneva University Hospitals (HUG), Geneve, Switzerland.
Olivia StuderDivision of Rheumatology, Geneva University Hospitals (HUG), Geneve, Switzerland.
Delphine S CourvoisierDivision of Rheumatology, Geneva University Hospitals (HUG), Geneve, Switzerland.ORCID 0000-0002-1956-2607
Andrea Rubbert-RothDivision of Rheumatology, Kantonsspital St. Gallen, St. Gallen, Switzerland.
Diego KyburzDepartment of Biomedicine, University Hospital Basel, Basel, Switzerland.
Burkhard MoellerDepartment of Rheumatology, Clinical Immunology and Allergology, Inselspital Universitatsspital Bern, Bern, Switzerland.
Axel FinckhDivision of Rheumatology, Geneva University Hospitals (HUG), Geneve, Switzerland.
University of Geneva · CHKantonsspital St. Gallen · CHUniversity Hospital of Basel · CHUniversity Hospital of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRheumatoid arthritis (RA) is an insidious autoimmune disease, with an immunological onset years before diagnosis. Early interventions in preclinical stages could prevent or minimise the progression towards irreversible joint damage. The SCREEN-RA cohort (Evaluation of a SCREENing strategy for Rheumatoid Arthritis) aims to characterise the preclinical stages of the disease, to identify environmental risk factors, and to discover or validate novel biomarkers predictive for RA development.

participantsSCREEN-RA includes an at-risk population for RA, namely first-degree relatives of patients with established RA. FINDINGS TO DATE: The cohort started in 2009 is composed of mostly asymptomatic healthy individuals (total n=1458, 7262 person-years), with a mean age of 44 years at enrolment, 74% female and 91% Caucasian ethnicity. During the study period, 16 participants have developed RA. All participants provide baseline serum, DNA and RNA samples, and in a subset, stool samples and oral examination are performed for microbiota assessment. At enrolment, 10% of participants had asymptomatic autoimmunity associated with RA (n=147), 10% presented 'clinically suspect arthralgias' (n=143) and 3% reported arthralgias in conjunction with autoimmunity or high genetic risk (n=51). Studies with this cohort have uncovered risk factors for RA development, such as female hormonal factors, poor oral health or intestinal dysbiosis. FUTURE PLANS: Future directions include immunological and 'multiomics' approaches to discover new biological markers of progression towards RA, as well as testing preventive interventions in 'high-risk' population.

Indexed as

Arthritis, RheumatoidEthnicityAdultAutoantibodiesCohort StudiesFemaleHumansMaleSwitzerlandAutoantibodiesepidemiologyimmunologypreventive medicinerheumatology

Identifiers

PMID34261688
PMCPMC8280908
OpenAlexW3181524743

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.