Evidence map›Paper›PMID 30402040›Full record

ArticleMediators of inflammation2018

sST2 as a New Biomarker of Chronic Kidney Disease-Induced Cardiac Remodeling: Impact on Risk Prediction.

Maëlle Plawecki, Marion Morena, Nils Kuster, Leila Chenine, Hélène Leray-Moragues, Bernard Jover, Pierre Fesler, Manuela Lotierzo, Anne-Marie Dupuy, Kada Klouche and 1 more

Open access · goldAbstract read
In one paragraph

Article in Mediators of inflammation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 21% 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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Cardiac Biomarkers in Chronic Kidney Disease: Signal or Noise?Clinical journal of the American Society of Nephrology : CJASN · 2026
    Review
  5. Article
  6. Review
  7. Article
  8. Observational
  9. Review
  10. Observational
  11. Article
  12. Review
  13. Article
  14. Article
  15. New aspects in cardiorenal syndrome and HFpEF.Clinical kidney journal · 2022
    Review
  16. Article
  17. Article
  18. 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

11 authors at 2 institutions in 1 country.

Maëlle PlaweckiDépartement de Biochimie-Hormonologie, CHU Montpellier, Université de Montpellier, Montpellier, France.ORCID 0000-0001-6930-9426
Marion MorenaDépartement de Biochimie-Hormonologie, CHU Montpellier, Université de Montpellier, Montpellier, France.
Nils KusterDépartement de Biochimie-Hormonologie, CHU Montpellier, Université de Montpellier, Montpellier, France.
Leila ChenineDépartement de Néphrologie, CHU Montpellier, Université de Montpellier, Montpellier, France.
Hélène Leray-MoraguesDépartement de Néphrologie, CHU Montpellier, Université de Montpellier, Montpellier, France.
Bernard JoverPhyMedExp, Université de Montpellier, CNRS, INSERM, Montpellier, France.ORCID 0000-0001-5826-5755
Pierre FeslerPhyMedExp, Université de Montpellier, CNRS, INSERM, Montpellier, France.
Manuela LotierzoDépartement de Biochimie-Hormonologie, CHU Montpellier, Université de Montpellier, Montpellier, France.ORCID 0000-0002-7555-5129
Anne-Marie DupuyDépartement de Biochimie-Hormonologie, CHU Montpellier, Université de Montpellier, Montpellier, France.
Kada KlouchePhyMedExp, Université de Montpellier, CNRS, INSERM, Montpellier, France.
Jean-Paul CristolDépartement de Biochimie-Hormonologie, CHU Montpellier, Université de Montpellier, Montpellier, France.ORCID 0000-0001-8563-7278
Centre National de la Recherche Scientifique · FRUniversité de Montpellier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Heart failure is the most frequent cardiac complication of chronic kidney disease (CKD). Biomarkers help identify high-risk patients. Natriuretic peptides (BNP and NT-proBNP) are largely used for monitoring patients with cardiac failure but are highly dependent on glomerular filtration rate (GFR). Soluble suppression of tumorigenicity 2 (sST2) biomarker is well identified in risk stratification of cardiovascular (CV) events in heart failure. Furthermore, sST2 is included in a bioclinical score to stratify mortality risk. The aims of this study were to evaluate (i) the interest of circulating sST2 level in heart dysfunction and (ii) the bioclinical score (Barcelona Bio-Heart Failure risk calculator) to predict the risk of composite outcome (major adverse coronary events) and mortality in the CKD population. A retrospective study was carried out on 218 CKD patients enrolled from 2004 to 2015 at Montpellier University Hospital. sST2 was measured by ELISA (Presage ST2® kit). GFR was estimated by the CKD-EPI equation (eGFR). Indices of cardiac parameters were performed by cardiac echography. No patient had reduced ejection fraction. 112 patients had left ventricular hypertrophy, and 184 presented cardiac dysfunction, with structural, functional abnormalities or both. sST2 was independent of age and eGFR (

Indexed as

AgedBiomarkersEchocardiographyEnzyme-Linked Immunosorbent AssayFemaleHeart FailureHumansInterleukin-1 Receptor-Like 1 ProteinMaleMiddle AgedRenal Insufficiency, ChronicRetrospective StudiesVentricular RemodelingBiomarkersIL1RL1 protein, humanInterleukin-1 Receptor-Like 1 Protein

Identifiers

PMID30402040
PMCPMC6196921
OpenAlexW2896593239

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.