Evidence map›Paper›PMID 39210206›Full record

ReviewClinical rheumatology2024

Biomarkers reflecting the pathogenesis, clinical manifestations, and guide therapeutic approach in systemic sclerosis: a narrative review.

Anna Bazsó, Péter Szodoray, Yehuda Shoenfeld, Emese Kiss

Erratum issuedAbstract readReview
In one paragraph

Review in Clinical rheumatology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Anna BazsóDepartment of Clinical Immunology, Adult and Paediatric Rheumatology, National Institute of Locomotor System Disorders and Disabilities, Budapest, Hungary. bazsoanna@yahoo.com.ORCID http://orcid.org/0000-0002-2034-9395
Péter SzodorayDepartment of Immunology, Oslo University Hospital, Rikshospitalet and University of Oslo, Oslo, Norway.
Yehuda ShoenfeldReichmann University, Herzelia, Israel.
Emese KissDepartment of Clinical Immunology, Adult and Paediatric Rheumatology, National Institute of Locomotor System Disorders and Disabilities, Budapest, Hungary.

Funding

TKP 2021-EGA-22 TKP 2021-EGA-22
6 · The paper itself

Abstract

Systemic sclerosis (SSc) is a progressive autoimmune disorder that mainly affects the skin. There are other clinical manifestations as renal, pulmonary, cardiovascular, and gastrointestinal tract involvements. Based on the skin involvement there are two subtypes of SSc, as limited cutaneous SSc (lSSc) which involves the acral part of the body and diffuse cutaneous SSc (dSSc) resulting in significant skin thickening of the body. Despite of the extensive research the pathomechanism is not fully clarified, how Ssc develops, moreover identifying biomarkers to predict the clinical outcome and prognosis still remains challenging. Circulating biomarkers can be crucial to define the diagnosis, to predict the prognosis and monitor the clinical course. However, only some patients are responsive to the therapy in SSc, and there is a need to reach the ideal therapy for any individual to prevent or slow down the progression in early stages of the disease. In this narrative review, our purpose was to summarize the potential biomarkers in Ssc, describe their role in the diagnosis, pathomechanism, clinical course, organ manifestations, as well as the response to the therapy. Biomarkers assessment aids in the evaluation of disease progression, and disease outcome.

Indexed as

BiomarkersScleroderma, SystemicDisease ProgressionHumansPrognosisSkinBiomarkersBiomarkersOrgan manifestationsPrognosisSystemic sclerosis

Identifiers

PMID39210206
PMCPMC11442557

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.