Evidence mapPaperPMID 35628490Full record

ReviewInternational journal of molecular sciences2022

Cardiovascular Biomarkers: Lessons of the Past and Prospects for the Future.

Farah Omran, Ioannis Kyrou, Faizel Osman, Ven Gee Lim, Harpal Singh Randeva, Kamaljit Chatha

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 pooled it
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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  20. High-Sensitivity Troponin: Finding a Meaningful Delta.Journal of cardiovascular development and disease · 2024
    Review
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.

Farah OmranWarwick Medical School, University of Warwick, Coventry CV4 7AL, UK.ORCID 0000-0002-3054-1268
Ioannis KyrouWarwick Medical School, University of Warwick, Coventry CV4 7AL, UK.ORCID 0000-0002-6997-3439
Faizel OsmanWarwick Medical School, University of Warwick, Coventry CV4 7AL, UK.ORCID 0000-0002-3962-5118
Ven Gee LimWarwick Medical School, University of Warwick, Coventry CV4 7AL, UK.
Harpal Singh RandevaWarwick Medical School, University of Warwick, Coventry CV4 7AL, UK.
Kamaljit ChathaWarwick Medical School, University of Warwick, Coventry CV4 7AL, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular diseases (CVDs) are a major healthcare burden on the population worldwide. Early detection of this disease is important in prevention and treatment to minimise morbidity and mortality. Biomarkers are a critical tool to either diagnose, screen, or provide prognostic information for pathological conditions. This review discusses the historical cardiac biomarkers used to detect these conditions, discussing their application and their limitations. Identification of new biomarkers have since replaced these and are now in use in routine clinical practice, but still do not detect all disease. Future cardiac biomarkers are showing promise in early studies, but further studies are required to show their value in improving detection of CVD above the current biomarkers. Additionally, the analytical platforms that would allow them to be adopted in healthcare are yet to be established. There is also the need to identify whether these biomarkers can be used for diagnostic, prognostic, or screening purposes, which will impact their implementation in routine clinical practice.

Indexed as

Cardiovascular DiseasesCardiovascular SystemBiomarkersEarly DiagnosisHumansBiomarkersbiomarkerscardiovascular diseasesfuture biomarkers

Identifiers

PMID35628490
PMCPMC9143441

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.