Evidence map›Paper›PMID 35159397›Full record

ReviewCells2022

Biomarker Development in Cardiology: Reviewing the Past to Inform the Future.

Katharine A Kott, Michael Bishop, Christina H J Yang, Toby M Plasto, Daniel C Cheng, Adam I Kaplan, Louise Cullen, David S Celermajer, Peter J Meikle, Stephen T Vernon and 1 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Biomarker-Guided Tailored Therapy in Major Depression.Advances in experimental medicine and biology · 2024
    Review
  8. Article
  9. 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

11 authors.

Katharine A KottCardiovascular Discovery Group, Kolling Institute of Medical Research, University of Sydney, St Leonards 2065, Australia.
Michael BishopSchool of Medicine and Public Health, University of Newcastle, Kensington 2033, Australia.
Christina H J YangSydney Medical School, University of Sydney, Camperdown 2050, Australia.ORCID 0000-0002-2165-5423
Toby M PlastoSydney Medical School, University of Sydney, Camperdown 2050, Australia.ORCID 0000-0002-8379-3530
Daniel C ChengSydney Medical School, University of Sydney, Camperdown 2050, Australia.
Adam I KaplanSydney Medical School, University of Sydney, Camperdown 2050, Australia.
Louise CullenEmergency and Trauma Centre, Royal Brisbane and Women's Hospital, Herston 4029, Australia.
David S CelermajerSydney Medical School, University of Sydney, Camperdown 2050, Australia.
Peter J MeikleBaker Heart and Diabetes Institute, Melbourne 3004, Australia.ORCID 0000-0002-2593-4665
Stephen T VernonCardiovascular Discovery Group, Kolling Institute of Medical Research, University of Sydney, St Leonards 2065, Australia.
Gemma A FigtreeCardiovascular Discovery Group, Kolling Institute of Medical Research, University of Sydney, St Leonards 2065, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac biomarkers have become pivotal to the clinical practice of cardiology, but there remains much to discover that could benefit cardiology patients. We review the discovery of key protein biomarkers in the fields of acute coronary syndrome, heart failure, and atherosclerosis, giving an overview of the populations they were studied in and the statistics that were used to validate them. We review statistical approaches that are currently in use to assess new biomarkers and overview a framework for biomarker discovery and evaluation that could be incorporated into clinical trials to evaluate cardiovascular outcomes in the future.

Indexed as

Acute Coronary SyndromeCardiologyHeart FailureBiomarkersHumansBiomarkersacute coronary syndromeatherosclerosisbiomarker developmentcardiologyheart failurestatistical development

Identifiers

PMID35159397
PMCPMC8834296

What OpenQuestion 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 OpenQuestion graph.