Evidence map›Paper›PMID 37008733›Full record

ArticleInternational journal of nephrology2023

Growth Differentiation Factor 15 and Risk of Death in Haemodialysis Patients.

Christelle Calen, Seraina Von Moos, Pietro Cippà, Alexandre Mebazaa, Mattia Arrigo

Open access · goldAbstract read
In one paragraph

Article in International journal of nephrology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 5 institutions in 2 countries.

Christelle CalenDivision of General Internal Medicine, Hirslanden Zurich, Zurich, Switzerland.
Seraina Von MoosDepartment of Nephrology, University Hospital Zurich, Zurich, Switzerland.
Pietro CippàDivision of Nephrology, Ente Ospedaliero Cantonale, Ospedale Regionale di Lugano, Lugano, Switzerland.
Alexandre MebazaaDepartment of Critical Care and Anesthesiology, Lariboisiere University Hospital, and University of Paris, Paris, France.
Mattia ArrigoDepartment of Internal Medicine, Stadtspital Zurich Triemli, Zurich, Switzerland.ORCID https://orcid.org/0000-0003-4028-2869
Klinik Hirslanden · CHOspedale regionale di Lugano · CHTriemli Hospital · CHUniversité Paris Cité · FRUniversity Hospital of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Noninvasive identification of haemodialysis patients at high risk of cardiovascular events and death might improve their outcome. Growth differentiation factor 15 is a prognostic biomarker in multiple disease entities, including cardiovascular disease. The aim of this study was to assess the association between plasma GDF-15 and mortality in a cohort of haemodialysis patients. Methods: Circulating GDF-15 was measured in 30 patients after a regular haemodialysis session, followed by a clinical follow-up for all-cause death. Measurements were performed using the Proseek Multiplex Cardiovascular disease panels (Olink Proteomics AB) and validated using the Elecsys GDF-15 electrochemiluminescence immunoassay on a Cobas E801 analyzer (Roche Diagnostics). Results: During a median of 38 months, 9 patients (30%) died. Seven deaths occurred in the group of patients with a circulating GDF-15 above the median and two in the group with lower GDF-15. Mortality was significantly higher in patients with circulating GDF-15 levels above the median, log-rank Conclusion: Plasma GDF-15 displays promising prognostic properties for the prediction of long-term survival beyond clinical parameters in patients on maintenance haemodialysis.

Identifiers

PMID37008733
PMCPMC10063357
OpenAlexW4360869640

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.