Evidence map›Paper›PMID 40495286›Full record

ArticlePhysiological reports2025

Inflammatory and vascular biomarkers as predictors of all-cause death and cardiovascular outcomes in an Australian community-based cohort.

Silvia Lee, Alison Castley, Matthew Knuiman, David Nolan, Frank Sanfilippo, Girish Dwivedi

Abstract read
In one paragraph

Article in Physiological reports, 2025. 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
–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

1 citing paper in PubMed.

  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

6 authors.

Silvia LeeHarry Perkins Institute of Medical Research, University of Western Australia, Murdoch, Western Australia, Australia.ORCID 0000-0001-5405-9735
Alison CastleyDepartment of Clinical Immunology, Pathwest Laboratory Medicine, Perth, Western Australia, Australia.
Matthew KnuimanSchool of Population and Global Health, University of Western Australia, Perth, Western Australia, Australia.
David NolanDepartment of Clinical Immunology, Royal Perth Hospital, Perth, Western Australia, Australia.
Frank SanfilippoSchool of Population and Global Health, University of Western Australia, Perth, Western Australia, Australia.ORCID 0000-0003-3639-0787
Girish DwivediHarry Perkins Institute of Medical Research, University of Western Australia, Murdoch, Western Australia, Australia.ORCID 0000-0003-0717-740X

Funding

Royal Perth Hospital Medical Research Foundation (RPH-MRF) 2018/19Wellcome Trust 102181
6 · The paper itself

Abstract

Biomarkers that identify individuals who are at higher risk of cardiovascular outcomes will allow for early intervention, lowering the incidence of adverse outcomes. This study investigated whether circulating levels of GDF-15, E-selectin, CD14, and ST2 are predictors of death and cardiovascular outcomes in 981 individuals who did not have a history of cardiovascular disease (CVD) during follow-up periods of 5, 10, and 20 years. During the 20-year follow-up, there were 389 deaths (including 147 from CVD), 105 participants had acute coronary syndrome (ACS), and 467 people had major adverse coronary and cerebrovascular events (MACCE) (including all-cause death). In the fully adjusted model, sE-selectin (5-year HR, 3.03; 95% CI 1.31-7.01), sCD14 (5 years 3.11; 1.02-9.45 and 10 years 2.52; 1.23-5.16), and sGDF-15 (10 years 2.07; 1.13-3.78 and 20 years 1.79; 1.24-2.56) predicted all-cause death. sE-selectin (5 years 2.19; 1.13-4.26), sCD14 (10 years 2.00; 1.08-3.68), and sGDF-15 (10 years 1.95; 1.18-3.22 and 20 years 1.53; 1.11-2.12) predicted MACCE. sGDF-15 predicted ACS at 5 (4.44; 1.01-19.49), 10 (2.86; 1.08-7.57) and 20 years (2.57; 1.31-5.04). High serum levels of sE-selectin, sGDF-15, and sCD14 at baseline are important independent risk factors for all-cause death and cardiovascular outcomes in a population without prevalent CVD.

Indexed as

Cardiovascular DiseasesAdultAgedAustraliaBiomarkersCause of DeathCohort StudiesE-SelectinFemaleFollow-Up StudiesGrowth Differentiation Factor 15HumansInterleukin-1 Receptor-Like 1 ProteinLipopolysaccharide ReceptorsMaleMiddle AgedBiomarkersE-SelectinGDF15 protein, humanGrowth Differentiation Factor 15IL1RL1 protein, humanInterleukin-1 Receptor-Like 1 ProteinLipopolysaccharide ReceptorsBusselton health surveycardiovascular diseaseCD14E‐selectinGDF‐15outcomesST2

Identifiers

PMID40495286
PMCPMC12151874

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.