Evidence map›Paper›PMID 39967200›Full record

ArticleJACC. CardioOncology2025

Growth Differentiation Factor-15 Predicts Major Bleeding in Cancer Patients: Results From the Vienna CAT-BLED Study.

Cornelia Englisch, Stephan Nopp, Florian Moik, Daniel Steiner, Angelika M Starzer, Monika Fritzer-Szekeres, Matthias Preusser, Anna S Berghoff, Ingrid Pabinger, Cihan Ay

Abstract read
In one paragraph

Article in JACC. CardioOncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Cornelia EnglischDivision of Hematology and Hemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Stephan NoppDivision of Hematology and Hemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Florian MoikDivision of Hematology and Hemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria; Division of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
Daniel SteinerDivision of Hematology and Hemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Angelika M StarzerDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Personalized Immunotherapy, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Monika Fritzer-SzekeresDepartment of Laboratory Medicine, Medical University of Vienna, Vienna, Austria.
Matthias PreusserDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Personalized Immunotherapy, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Anna S BerghoffDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria; Christian Doppler Laboratory for Personalized Immunotherapy, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Ingrid PabingerDivision of Hematology and Hemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
Cihan AyDivision of Hematology and Hemostaseology, Department of Medicine I, Medical University of Vienna, Vienna, Austria. Electronic address: cihan.ay@meduniwien.ac.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe hemostatic system is tightly interconnected with cancer. Research has focused predominantly on thrombotic complications, but less is known about bleeding and bleeding risk prediction. Growth differentiation factor (GDF)-15 has previously emerged as a prognostic biomarker for bleeding.

objectivesThe aim of this study was to investigate the association and predictive ability of GDF-15 for bleeding risk in patients with cancer.

methodsThe CAT-BLED (Vienna Cancer, Thrombosis, and Bleeding) study is a prospective, observational cohort study including cancer patients initiating systemic anticancer therapies. Patients were followed for up to 2 years for thrombotic and bleeding events. The primary outcome was major bleeding. GDF-15 was measured at inclusion and at 3 and 6 months of follow-up.

resultsA total of 779 patients (48% women, median age 62 years, 15% on therapeutic anticoagulation) were included. During a median follow-up period of 18 months, 79 patients (10.1%) experienced major bleeding (12-month cumulative incidence 8.8%; 95% CI: 6.7-10.9). Higher GDF-15 levels were independently associated with increased major bleeding risk (adjusted subdistribution HR per doubling: 1.29; 95% CI: 1.04-1.59), and patients with levels greater than the cohort median (1,864 ng/L) had a significantly higher 12-month cumulative incidence (13.1% vs 4.6%; P < 0.001). This association remained robust in follow-up measurements at 3 and 6 months. GDF-15 showed moderate to good discrimination for predicting 6-month major bleeding risk (C statistic = 0.69; 95% CI: 0.60-0.77). GDF-15 was not associated with venous thromboembolism but was strongly associated with mortality (adjusted HR: 1.37; 95% CI: 1.25-1.50).

conclusionsGDF-15 levels predict major bleeding risk in cancer patients and are not associated with venous thromboembolism, making GDF-15 a particularly promising biomarker for bleeding risk prediction.

Indexed as

biomarkersbleedingcancerhemorrhagemajor bleedingrisk prediction

Identifiers

PMID39967200
PMCPMC11866448

What Socratic 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 Socratic graph.