Evidence map›Paper›PMID 41409809›Full record

ArticleJournal of rheumatic diseases2026

Elevated circulating interleukin-17 levels in systemic sclerosis: a meta-analysis.

Young Ho Lee, Gwan Gyu Song

Abstract read
In one paragraph

Article in Journal of rheumatic diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Young Ho LeeDivision of Rheumatology, Department of Internal Medicine, Anam Hospital, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-4213-1909
Gwan Gyu SongDivision of Rheumatology, Department of Internal Medicine, Anam Hospital, Korea University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0003-3492-2225

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of this meta-analysis was to evaluate the association between circulating interleukin-17 (IL-17) levels and systemic sclerosis (SSc). Methods: We conducted a comprehensive systematic search in MEDLINE, Embase, and Web of Science for relevant studies. The meta-analysis compared serum/plasma IL-17, IL-17A, IL-17B, IL-17E, and IL-17F levels in SSc patients with those in control subjects, incorporating subgroup analyses based on ethnicity and disease subtype. Results: This analysis included 16 studies, comprising 1,229 patients diagnosed with SSc and 839 control participants. The meta-analysis did not identify a significant difference in circulating IL-17 levels between SSc patients and controls in overall group (standardized mean difference [SMD]=0.260; 95% confidence interval [CI]=-1.805 to 2.336; p=0.825). However, recent studies supported this finding, demonstrating a stronger association (SMD=2.040; 95% CI=1.049 to 3.030; p<0.001). IL-17A levels were significantly higher in SSc patients (SMD=2.046; 95% CI=0.724 to 3.369; p=0.002), along with notable increases in IL-17B (SMD=0.764; 95% CI=0.230 to 1.298; p=0.005), IL-17E (SMD=0.672; 95% CI=0.282 to 1.062; p=0.001), and IL-17F (SMD=0.402; 95% CI=0.019 to 0.784; p=0.039). However, no significant difference in IL-17A levels was observed between diffuse and limited SSc groups. Conclusion: IL-17A, IL-17B, IL-17E, and IL-17F were significantly elevated in SSc, with IL-17A demonstrating the most pronounced association. These findings suggest that specific IL-17 subtypes, particularly IL-17A, play a role in SSc pathogenesis.

Indexed as

CytokinesInflammationInterleukin-17Meta-analysisSystemic sclerosis

Identifiers

PMID41409809
PMCPMC12706430

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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.