Evidence map›Paper›PMID 26298350›Full record

ArticleInternational journal of cardiology2015

Which biomarkers are predictive specifically for cardiovascular or for non-cardiovascular mortality in men? Evidence from the Caerphilly Prospective Study (CaPS).

Christopher C Patterson, Stefan Blankenberg, Yoav Ben-Shlomo, Luke Heslop, Antony Bayer, Gordon Lowe, Tanja Zeller, John Gallacher, Ian Young, John Yarnell

Open access · hybridAbstract readComparative Study
In one paragraph

Article in International journal of cardiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  4. IL-6 and Cardiovascular Risk: A Narrative Review.Current atherosclerosis reports · 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

10 authors at 6 institutions in 2 countries.

Christopher C PattersonCentre for Public Health, Queen's University Belfast, Belfast, UK.
Stefan BlankenbergUniversity Heart Centre Hamburg, Clinic for General and Interventional Cardiology, Hamburg, Germany.
Yoav Ben-ShlomoSocial and Community Medicine, University of Bristol, UK.
Luke HeslopInstitute of Primary Care & Public Health, Cardiff University School of Medicine, Cardiff, UK.
Antony BayerInstitute of Primary Care & Public Health, Cardiff University School of Medicine, Cardiff, UK.
Gordon LoweInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
Tanja ZellerUniversity Heart Centre Hamburg, Clinic for General and Interventional Cardiology, Hamburg, Germany.
John GallacherDepartment of Psychiatry, Warneford Hospital, Oxford, UK.
Ian YoungCentre for Public Health, Queen's University Belfast, Belfast, UK.
John YarnellCentre for Public Health, Queen's University Belfast, Belfast, UK. Electronic address: j.yarnell@qub.ac.uk.
Queen's University Belfast · GBCardiff University · GBUniversität Hamburg · DEUniversity of Bristol · GBUniversity of Glasgow · GBWarneford Hospital · GB

Funding

British Heart Foundation PG/09/002/26056Medical Research Council MR/L023784/2
6 · The paper itself

Abstract

objectiveTo examine a panel of 28 biomarkers for prediction of cardiovascular disease (CVD) and non-CVD mortality in a population-based cohort of men.

methodsStarting in 1979, middle-aged men in Caerphilly underwent detailed medical examination. Subsequently 2171 men were re-examined during 1989-1993, and fasting blood samples obtained from 1911 men (88%). Fibrinogen, viscosity and white cell count (WCC), routine biochemistry tests and lipids were analysed using fresh samples. Stored aliquots were later analysed for novel biomarkers. Statistical analysis of CVD and non-CVD mortality follow-up used competing risk Cox regression models with biomarkers in thirds tested at the 1% significance level after covariate adjustment.

resultsDuring an average of 15.4 years follow-up, troponin (subhazard ratio per third 1.71, 95% CI 1.46-1.99) and B-natriuretic peptide (BNP) (subhazard ratio per third 1.54, 95% CI 1.34-1.78) showed strong trends with CVD death but not with non-CVD death. WCC and fibrinogen showed similar weaker findings. Plasma viscosity, growth differentiation factor 15 (GDF-15) and interleukin-6 (IL-6) were associated positively with both CVD death and non-CVD death while total cholesterol was associated positively with CVD death but negatively with non-CVD death. C-reactive protein (C-RP), alkaline phosphatase, gamma-glutamyltransferase (GGT), retinol binding protein 4 (RBP-4) and vitamin B6 were significantly associated only with non-CVD death, the last two negatively. Troponin, BNP and IL-6 showed evidence of diminishing associations with CVD mortality through follow-up.

conclusionBiomarkers for cardiac necrosis were strong, specific predictors of CVD mortality while many inflammatory markers were equally predictive of non-CVD mortality.

Indexed as

AgedBiomarkersCardiovascular DiseasesFollow-Up StudiesHumansInflammation MediatorsMaleMiddle AgedMortalityPredictive Value of TestsProspective StudiesRisk FactorsWalesBiomarkersInflammation MediatorsBiomarkersCardiovascular mortalityEpidemiologyNon-cardiovascular mortality

Identifiers

PMID26298350
PMCPMC4612445
OpenAlexW1962182651

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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.