Evidence map›Paper›PMID 32696281›Full record

ArticleClinical rheumatology2020

Performance of the 2017 EUSTAR activity index in an scleroderma cohort.

Laura Ross, Wendy Stevens, Michelle Wilson, Molla Huq, Gemma Strickland, Jennifer Walker, Joanne Sahhar, Gene-Siew Ngian, Janet Roddy, Peter Youssef and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Clinical rheumatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 33% 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, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Diet in Scleroderma: Is There a Need for Intervention?Diagnostics (Basel, Switzerland) · 2021
    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

12 authors at 7 institutions in 1 country.

Laura RossDepartment of Medicine, The University of Melbourne at St Vincent's Hospital, Melbourne, Australia.
Wendy StevensDepartment of Rheumatology, St Vincent's Hospital, Melbourne, Australia.
Michelle WilsonDepartment of Rheumatology, St Vincent's Hospital, Melbourne, Australia.
Molla HuqDepartment of Medicine, The University of Melbourne at St Vincent's Hospital, Melbourne, Australia.
Gemma StricklandDepartment of Rheumatology, St Vincent's Hospital, Melbourne, Australia.
Jennifer WalkerRheumatology Unit, Flinders Medical Centre, Adelaide, Australia.
Joanne SahharDepartment of Rheumatology, Monash Health & Monash University, Melbourne, Australia.
Gene-Siew NgianDepartment of Rheumatology, Monash Health & Monash University, Melbourne, Australia.
Janet RoddyDepartment of Rheumatology, Fiona Stanley Hospital, Perth, Australia.
Peter YoussefDepartment of Rheumatology, Royal Prince Alfred Hospital, Sydney, Australia.
Susanna ProudmanRheumatology Unit, Royal Adelaide Hospital, Adelaide, Australia.
Mandana NikpourDepartment of Medicine, The University of Melbourne at St Vincent's Hospital, Melbourne, Australia. m.nikpour@unimelb.edu.au.
St Vincent's Hospital · AUFiona Stanley Hospital · AUFlinders Medical Centre · AUMonash Health · AUMonash University · AURoyal Adelaide Hospital · AUUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessment of disease activity in systemic sclerosis (SSc) is limited by the absence of a fully validated, multisystem measure of disease activity. The European Scleroderma Trials and Research Group (EUSTAR) SSc activity index (EScSG-AI) was recently revised, and a validation study within the EUSTAR cohort was performed. In this study, we evaluated the performance of the revised EScSG-AI in an external Australian cohort. The association between the EScSG-AI and the physician global assessment of disease activity (PhGA), both collected prospectively at each annual visit over up to 12 years follow-up, was evaluated using Pearson's correlation coefficient and Cohen's kappa coefficient. Generalized linear modelling and time-dependent Cox regression analysis were performed to determine the association of disease activity measured by the EScSG-AI and the summed Medsger Severity Scale (MSS) and death, respectively. There was a moderate correlation between EScSG-AI and PhGA scores (r 0.42, p < 0.001) and moderate association between rising EScSG-AI and summed MSS (r 0.60, p < 0.001). High disease activity, measured by the EScSG-AI at any time during follow-up, was associated with a hazard ratio of 2.07 (95% CI 1.51-2.79) for mortality. The EScSG-AI has a moderate correlation with physician-assessed SSc disease activity. This suggests that the criterion and construct validity of the EScSG-AI are yet to be demonstrated in an external cohort of SSc patients. Key Points •There remains no gold standard measure of SSc disease activity. •The revised 2017 EUSTAR SSc disease activity index shows moderate correlation with physician-rated global disease activity. •Significant work remains to develop a validated multisystem measure of disease activity in SSc.

Indexed as

Scleroderma, LocalizedScleroderma, SystemicAustraliaCohort StudiesHumansSeverity of Illness IndexDisease activityOutcome assessmentSystemic sclerosisTreatment outcome

Identifiers

PMID32696281
OpenAlexW3044265910

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.