Evidence map›Paper›PMID 36264449›Full record

ReviewThe Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology2022

Emerging biomarkers for the detection of cardiovascular diseases.

Sreenu Thupakula, Shiva Shankar Reddy Nimmala, Haritha Ravula, Sudhakar Chekuri, Raju Padiya

Abstract readReview
In one paragraph

Review in The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Association Between Myocardial Dysfunction and Septic Shock.International journal of molecular sciences · 2026
    Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. A New Perspective on NSTE-ACS Patients in the Emergency Department: Cardiac Risk Prediction with New Inflammation Markers.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  10. Review
  11. Article
  12. Review
  13. Risk predictor model for young hearts.Journal of family medicine and primary care · 2025
    Article
  14. Article
  15. Review
  16. Cardiovascular Biomarkers: Tools for Precision Diagnosis and Prognosis.International journal of molecular sciences · 2025
    Review
  17. Article
  18. Article
  19. Article
  20. 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.

Sreenu ThupakulaDepartment of Biochemistry, Osmania University, Amberpet, Hyderabad, Telangana, 500007, India.
Shiva Shankar Reddy NimmalaDepartment of Biochemistry, Osmania University, Amberpet, Hyderabad, Telangana, 500007, India.
Haritha RavulaDepartment of Plant Sciences, University of Hyderabad, Gopanpalle, Hyderabad, Telangana, 500019, India.
Sudhakar ChekuriDepartment of Genetics, Osmania University, Amberpet, Hyderabad, Telangana, 500007, India.
Raju PadiyaDepartment of Biochemistry, Osmania University, Amberpet, Hyderabad, Telangana, 500007, India. rajupadiya@gmail.com.ORCID http://orcid.org/0000-0002-9772-9118

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of cardiovascular disease (CVD) has been continuously increasing, and this trend is projected to continue. CVD is rapidly becoming a significant public health issue. Every year there is a spike in hospital cases of CVD, a critical health concern in lower- and middle-income countries. Based on identification of novel biomarkers, it would be necessary to study and evaluate the diagnostic requirements or CVD to expedite early detection. MAIN BODY: The literature review was written using a wide range of sources, such as well-known medical journals, electronic databases, manuscripts, texts, and other writings from the university library. After that, we analysed the specific markers of CVD and compiled a systematic review. A growing body of clinical research aims to identify people who are at risk for cardiovascular disease by looking for biomolecules. A small number of biomarkers have been shown to be useful and reliable in medicine. Biomarkers can be used for a variety of clinical applications, such as predicting heart disease risk, diagnosing disease, or predicting outcomes. As a result of the ability for a single molecule to act as a biomarker, its usefulness in medicine is expected to increase significantly.

conclusionsBased on assessing the current trends in the application of CVD markers, we discussed and described the requirements for the application of CVD biomarkers in coronary heart disease, cerebrovascular disease, rheumatic heart disease, and other cardiovascular illnesses. Furthermore, the current review focuses on biomarkers for CVD and the procedures that should be considered to establish the comprehensive nature of the expression of biomarkers for cardiovascular illness.

Indexed as

BiomarkersBiomolecular systemsCardiac markersCardiovascular diseaseDiagnosisTherapeutics

Identifiers

PMID36264449
PMCPMC9584006

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.