Evidence map›Paper›PMID 31436584›Full record

ReviewCurrent opinion in rheumatology2019

Biomarkers in systemic sclerosis.

Brian Skaug, Shervin Assassi

Open access · greenAbstract readReview
In one paragraph

Review in Current opinion in rheumatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Unraveling the role of MiR-181 in skin fibrosis pathogenesis by targeting NUDT21.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Arthritis research & therapy · 2021
    Article
  13. Article
  14. Article
  15. Review
  16. 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

2 authors at 1 institution in 1 country.

Brian SkaugDivision of Rheumatology and Clinical Immunogenetics, Department of Internal Medicine, University of Texas Health Science Center Houston, Houston, Texas, USA.
Shervin Assassi
The University of Texas Health Science Center at Houston · US

Funding

CFlm25 mediated alternative polyadenylation regulates fibrosis in systemic sclerosisR01AR073284 · NIAMS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI ASSASSI, SHERVIN, MILLS, TINGTING WENG · 2019 to 2023
$1.7M
NIAMS NIH HHS R01 AR073284
6 · The paper itself

Abstract

purpose of reviewTo discuss recent advances in identification of biomarkers in systemic sclerosis for disease severity, prognosis, and treatment response. RECENT

findingsRecent reports describe novel circulating markers of disease severity, autoantibody associations with specific manifestations including cancer, and skin gene expression-based predictors of modified Rodnan skin score progression and treatment response. Moreover, there is converging evidence that C-reactive protein and pneumoproteins such as Krebs von den Lungen-6 and chemokine ligand 18 could serve as prognostic biomarkers in systemic sclerosis-associated interstitial lung disease. SUMMARY: Several novel biomarkers show promise in improving the assessment of systemic sclerosis (SSc) disease severity, prognosis, and treatment response. Their potential utility in prospective selection of patients for clinical trials and in individual patient management require additional research.

Indexed as

AutoantibodiesBiomarkersHumansMucin-1PrognosisScleroderma, SystemicSkinAutoantibodiesBiomarkersMUC1 protein, humanMucin-1

Identifiers

PMID31436584
PMCPMC7185900
OpenAlexW2969925143

What OpenQuestion holds

Textmetadata
LicenceTDM
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.