Evidence map›Paper›PMID 32372544›Full record

ArticleJournal of internal medicine2020

Tumour biomarkers: association with heart failure outcomes.

C Shi, H H van der Wal, H H W Silljé, M M Dokter, F van den Berg, L Huizinga, M Vriesema, J Post, S D Anker, J G Cleland and 13 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Journal of internal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05704569 (Prediction of Primary Cardiovascular Events Using a Multimarker Approach), which is not on this map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.3field-weighted citation impact, top 10% 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.

NCT05704569 completednot on this map

Prediction of Primary Cardiovascular Events Using a Multimarker Approach (Prospective Clinical Study)

TypeobservationalSponsorKaraganda Medical UniversityRan2014 to 2022Enrolled1,500ConditionsCardiovascular Diseases, Stroke, Myocardial Infarction, DeathArmsmeasurement of multiple biomarkers
3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 42 citations in OpenAlex.

  1. Observational
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  8. MUC16: clinical targets with great potential.Clinical and experimental medicine · 2024
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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

23 authors at 10 institutions in 9 countries.

C ShiFrom the, Department of Cardiology, Uni, University Medical Center Groningen, Groningen, the Netherlands.
H H van der WalFrom the, Department of Cardiology, Uni, University Medical Center Groningen, Groningen, the Netherlands.
H H W SilljéFrom the, Department of Cardiology, Uni, University Medical Center Groningen, Groningen, the Netherlands.
M M DokterFrom the, Department of Cardiology, Uni, University Medical Center Groningen, Groningen, the Netherlands.
F van den BergFrom the, Department of Cardiology, Uni, University Medical Center Groningen, Groningen, the Netherlands.
L HuizingaFrom the, Department of Cardiology, Uni, University Medical Center Groningen, Groningen, the Netherlands.
M VriesemaFrom the, Department of Cardiology, Uni, University Medical Center Groningen, Groningen, the Netherlands.
J PostFrom the, Department of Cardiology, Uni, University Medical Center Groningen, Groningen, the Netherlands.
S D AnkerDepartment of Cardiology, Berlin-Brandenburg Center for Regenerative Therapies, German Centre for Cardiovascular Research (DZHK) Partner site Berlin, Charité Universitätsmedizin Berlin, Berlin, Germany.
J G ClelandNational Heart & Lung Institute, Royal Brompton & Harefield Hospitals, Imperial College, London, UK.
L L NgDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK.
N J SamaniDepartment of Cardiovascular Sciences, University of Leicester, Leicester, UK.
K DicksteinUniversity of Bergen, Stavanger University Hospital, Stavanger, Norway.
F ZannadClinical Investigation Center 1433, French Clinical Research Infrastructure Network, Investigation Network Initiative-Cardiovascular and Renal Clinical Trialists, Centre Hospitalier Regional et Universitaire de Nancy, Vandoeuvre les Nancy, France.
C C LangDivision of Molecular and Clinical Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, UK.
P L van HaelstF. Hoffmann-La Roche Ltd. Diagnostics Division, Basel, Switzerland.
J A GietemaDepartment of Medical Oncology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
M MetraDepartment of Medical and Surgical Specialties, Radiological Sciences and Public Health, Institute of Cardiology, University of Brescia, Brescia, Italy.
P AmeriCardiovascular Disease Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
M CanepaCardiovascular Disease Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
D J van VeldhuisenFrom the, Department of Cardiology, Uni, University Medical Center Groningen, Groningen, the Netherlands.
A A VoorsFrom the, Department of Cardiology, Uni, University Medical Center Groningen, Groningen, the Netherlands.
R A de BoerFrom the, Department of Cardiology, Uni, University Medical Center Groningen, Groningen, the Netherlands.ORCID 0000-0002-4775-9140
University Medical Center Groningen · NLItalian Institute of Technology · ITUniversity of Leicester · GBFrench Clinical Research Infrastructure Network · FRGerman Centre for Cardiovascular Research · DEHarefield Hospital · GBRoche (Switzerland) · CHStavanger University Hospital · NOSurgical Specialties (Canada) · CAUniversity of Dundee · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is increasing recognition that heart failure (HF) and cancer are conditions with a number of shared characteristics.

objectivesTo explore the association between tumour biomarkers and HF outcomes.

methodsIn 2,079 patients of BIOSTAT-CHF cohort, we measured six established tumour biomarkers: CA125, CA15-3, CA19-9, CEA, CYFRA 21-1 and AFP.

resultsDuring a median follow-up of 21 months, 555 (27%) patients reached the primary end-point of all-cause mortality. CA125, CYFRA 21-1, CEA and CA19-9 levels were positively correlated with NT-proBNP quartiles (all P < 0.001, P for trend < 0.001) and were, respectively, associated with a hazard ratio of 1.17 (95% CI 1.12-1.23; P < 0.0001), 1.45 (95% CI 1.30-1.61; P < 0.0001), 1.19 (95% CI 1.09-1.30; P = 0.006) and 1.10 (95% CI 1.05-1.16; P < 0.001) for all-cause mortality after correction for BIOSTAT risk model (age, BUN, NT-proBNP, haemoglobin and beta blocker). All tumour biomarkers (except AFP) had significant associations with secondary end-points (composite of all-cause mortality and HF hospitalization, HF hospitalization, cardiovascular (CV) mortality and non-CV mortality). ROC curves showed the AUC of CYFRA 21-1 (0.64) had a noninferior AUC compared with NT-proBNP (0.68) for all-cause mortality (P = 0.08). A combination of CYFRA 21-1 and NT-proBNP (AUC = 0.71) improved the predictive value of the model for all-cause mortality (P = 0.0002 compared with NT-proBNP).

conclusionsSeveral established tumour biomarkers showed independent associations with indices of severity of HF and independent prognostic value for HF outcomes. This demonstrates that pathophysiological pathways sensed by these tumour biomarkers are also dysregulated in HF.

Indexed as

Agedalpha-FetoproteinsAntigens, NeoplasmAntigens, Tumor-Associated, CarbohydrateBiomarkers, TumorCA-125 AntigenCarcinoembryonic AntigenFemaleFollow-Up StudiesHeart FailureHospitalizationHumansKeratin-19MaleMembrane ProteinsNatriuretic Peptide, Brainalpha-Fetoproteinsantigen CYFRA21.1Antigens, NeoplasmAntigens, Tumor-Associated, CarbohydrateBiomarkers, TumorCA-125 Antigencarbohydrate antigen 199, humanCarcinoembryonic AntigenKeratin-19Membrane ProteinsMUC16 protein, humanNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)biomarkersheart failurenatriuretic peptidesneoplasmstumour

Identifiers

PMID32372544
PMCPMC7496322
OpenAlexW3019010871

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Registered trials

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.