Evidence map›Paper›PMID 33164736›Full record

ReviewEuropean journal of rheumatology2020

Systemic sclerosis: To subset or not to subset, that is the question.

Sindhu R Johnson, Frank van den Hoogen, Keshini Devakandan, Marco Matucci-Cerinic, Janet E Pope

Abstract readReview
In one paragraph

Review in European journal of rheumatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Advanced Autoantibody Testing in Systemic Sclerosis.Diagnostics (Basel, Switzerland) · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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.

Sindhu R JohnsonToronto Scleroderma Program, Department of Medicine, Mount Sinai Hospital, Toronto Western Hospital, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0003-0591-2976
Frank van den HoogenDepartment of Rheumatology, St. Maartenskliniek and Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands.ORCID http://orcid.org/0000-0003-1044-015X
Keshini DevakandanToronto Scleroderma Program, Department of Medicine, Mount Sinai Hospital, Toronto Western Hospital, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-0836-9334
Marco Matucci-CerinicDivision of Rheumatology AOUC, Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy.ORCID http://orcid.org/0000-0002-9324-3161
Janet E PopeDepartment of Medicine, Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.ORCID http://orcid.org/0000-0003-1479-5302

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic sclerosis (SSc) is a heterogeneous disease with variability in autoantibody profiles, skin and internal organ involvement, disease trajectory, and survival. The ability to identify more homogeneous subsets of SSc patients has informed patient care and been an essential aspect of SSc research. In this article, the historic evolution of subsetting systems in SSc are described including clinically based SSc subsetting systems, their utility, strengths, and limitations. There is a shifting paradigm of SSc subsets, including biologic classification of SSc subsets and fully data-driven approaches to SSc subset classification, taking into consideration the needs of the SSc global community in the modern era and the ability to prognosticate patients with SSc.

Identifiers

PMID33164736
PMCPMC7647684

What OpenQuestion 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 OpenQuestion graph.