Evidence map›Paper›PMID 39812324›Full record

SynthesisFuture cardiology2025

Biomarkers in coronary artery disease: systematic review and meta-analysis.

Nicola King, Neil A Smart, Theodore Bungon, Martin Peacock, Shakil A Awan

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Future cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Comparative Analysis of Afamin, Asprosin, and Pentraxin 3 Levels in Women with PCOS and Women with Unexplained Infertility.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  4. 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.

Nicola KingSchool of Biomedical Sciences, Faculty of Health, University of Plymouth, Plymouth, Devon, UK.
Neil A SmartSchool of Science and Technology, Faculty of Science, Agriculture, Business and Law, University of New England, Armidale, New South Wales, Australia.
Theodore BungonNanomaterial and Devices Laboratory, School of Engineering, Computing and Mathematics, Faculty of Science and Technology, University of Plymouth, Plymouth, Devon, UK.
Martin PeacockZimmer and Peacock Ltd., Royston, Hertfordshire, UK.
Shakil A AwanNanomaterial and Devices Laboratory, School of Engineering, Computing and Mathematics, Faculty of Science and Technology, University of Plymouth, Plymouth, Devon, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLittle information exists regarding the detection of early coronary heart disease protein biomarkers. The aim of this study was to investigate several potential candidates.

methodsSystematic review was carried out followed by meta-analysis.

resultsThe standardized mean difference (95% confidence intervals) for each comparison was: Troponins 2.31 (1.18, 3.4), iL-6 1.3 (0.8, 1.81), fibrinogen 1.55 (1.16, 1.94), NT-proBNP 1.05 (0.72, 1.38), lipoprotein a 0.75 (0.48, 1.03) osteoprotegerin 0.92 (0.23, 1.62), VCAM-1 1.53 (0.87, 2.18), pentraxin 3 0.87 (-0.13, 1.87), PAI-1 2.51 (-0.65, 5.66) MMP9 1.25 (0.36, 2.14), MCP-1 1.99 (1.12, 2.85) and adiponectin -1.11 (-1.49, -0.73).

conclusionMultiple biomarkers that could potentially be used for the early detection of coronary heart disease were identified.

Indexed as

BiomarkersCoronary Artery DiseaseHumansBiomarkersBiomarkerscoronary artery diseasediagnostic point-of-care sensorsgraphene field-effect transistors; meta-analysis

Identifiers

PMID39812324
PMCPMC11812396

What OpenQuestion holds

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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 OpenQuestion graph.