Evidence map›Paper›PMID 32476963›Full record

ArticleSarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG2019

Serum cytokines and their predictive value in pulmonary involvement of systemic sclerosis.

Mike Oliver Becker, Mislav Radic, Katrin Schmidt, Dörte Huscher, Arne Riedlinger, Marissa Michelfelder, Christian Meisel, Ralf Ewert, Gerd-Rüdiger Burmester, Gabriela Riemekasten

Open access · greenAbstract readComparative Study
In one paragraph

Article in Sarcoidosis, vasculitis, and diffuse lung diseases : official journal of WASOG, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
0.6field-weighted citation impact, top 30% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Associations with, and predictors of, progression in systemic sclerosis-related interstitial lung disease: a scoping literature review.European respiratory review : an official journal of the European Respiratory Society · 2026
    Article
  4. Article
  5. Article
  6. Treatable Traits in Systemic Sclerosis.Clinical reviews in allergy & immunology · 2023
    Review
  7. Review
  8. Review
  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

10 authors at 8 institutions in 3 countries.

Mike Oliver Beckerequal contribution.
Mislav Radicequal contribution.
Katrin SchmidtUniversity Hospital Charité, Dept of Rheumatology and Clinical Immunology, Berlin, Germany.
Dörte HuscherGerman Rheumatism Research Centre (DRFZ), a Leibniz Institute, Epidemiology Unit, Berlin, Germany.
Arne RiedlingerUniversity Hospital Charité, Dept of Rheumatology and Clinical Immunology, Berlin, Germany.
Marissa MichelfelderUniversity Hospital Charité, Dept of Rheumatology and Clinical Immunology, Berlin, Germany.
Christian MeiselUniversity Hospital Charité, Clinical Laboratory, Berlin, Germany.
Ralf EwertUniversity Medicine Greifswald, Department of Internal Medicine B - Cardiology, Intensive Care, Pulmonary Medicine and Infectious Diseases.
Gerd-Rüdiger BurmesterUniversity Hospital Charité, Dept of Rheumatology and Clinical Immunology, Berlin, Germany.
Gabriela RiemekastenUniversity Hospital Lübeck, Dept of Rheumatology and Research Center Borstel, a Leibniz institute.
Charité - Universitätsmedizin Berlin · DEAsklepios · DEGerman Rheumatism Research Centre · DEResearch Center Borstel - Leibniz Lung Center · DEUniversitätsmedizin Greifswald · DEUniversity Hospital Bonn · DEUniversity Hospital of Zurich · CHUniversity of Split · HR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify serum cytokines which predict mortality and/or disease progression in patients with systemic sclerosis, especially with pulmonary involvement.

methodsSerum cytokines (IL-6, IL-7, IL-8, IL-10, CCL2, CCL4, TGF-β, TNF-α) were measured in 125 SSc patients, who were recruited and observed in our outpatient clinic. Of these, 60 had pulmonary involvement, classified as either interstitial lung disease (ILD, 43 patients), pulmonary arterial hypertension (PAH, 7 patients) or pulmonary hypertension and ILD (PH-ILD, 10 patients). The association of serum cytokines with clinical features was analysed and their correlation with BAL cytokines measured in a subset of SSc patients with ILD.

resultsSerum cytokines were detected at different levels: high (TGF-β, median 287.5 pg/ml; CCL2, median 89.7 pg/ml; CCL4, median 104.2 pg/ml), low (IL-6, median 3.2 pg/ml; IL-7 median 2.3 pg/ml; IL-8, median 5.2 pg/ml; TNF-α, median 0 pg/ml but with a bimodal distribution) and very low (IL-10, median 0.4 pg/ml). IL-6 and IL-7 were predictive for death in a Cox regression analysis in all SSc patients as well as in all patients with pulmonary involvement; IL-6 was predictive for mortality in SSc-ILD patients. In a multivariate analysis, cytokine levels could also predict a change in lung function, e.g. IL-7 was a predictor for a decline of diffusion capacity (DLCO) by 20 or 30% in ILD patients. In a subset of ILD patients, serum cytokines were compared to BAL cytokines, but revealed only few correlations.

conclusionIn conclusion, the analysis of serum cytokines implicates a role as biomarkers, distinct from BAL.

Indexed as

AdultAgedBiomarkersCytokinesDisease ProgressionFemaleHumansLung Diseases, InterstitialMaleMiddle AgedPredictive Value of TestsPrognosisPulmonary Arterial HypertensionRetrospective StudiesRisk AssessmentRisk FactorsBiomarkersCytokineschemokinescytokineslung involvementsurvivalsystemic sclerosis

Identifiers

PMID32476963
PMCPMC7247092
OpenAlexW3029619047

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.