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Genome Variability for the Development of Coronary Heart Disease in Type 2 Diabetes Mellitus: A Bibliometric Analysis

Nazira B Bekenova1, Tamara A Vochshenkova1, Aliya Zhylkybekova2

  • 1Gerontology Center, Medical Center of the President's Affairs Administration of the Republic of Kazakhstan, Astana, Kazakhstan.

Journal of Multidisciplinary Healthcare
|November 27, 2024
PubMed

Insights

Research shows a growing focus on genome variability in coronary heart disease (CHD) and Type 2 Diabetes Mellitus (T2DM). Bibliometric analysis maps this increasing academic attention to guide future genetic research and precision medicine.

Area of Science:

  • Genetics
  • Cardiology
  • Endocrinology

Background:

  • Cardiovascular diseases (CVDs) are the leading cause of global mortality, with heart attacks and strokes accounting for 85% of deaths.
  • Individuals with Type 2 Diabetes Mellitus (T2DM) have a higher risk of developing coronary heart disease (CHD).
  • Genetic polymorphisms play a role in the onset, progression, and complications of both CHD and T2DM.

Purpose of the Study:

  • To map the research landscape on genome variability in relation to coronary heart disease (CHD) development in patients with Type 2 Diabetes Mellitus (T2DM).
  • To utilize bibliometric analysis to understand trends and key contributors in this research area.

Main Methods:

  • Bibliometric analysis of publications from the Web of Science (WoS) Core Collection and Scopus databases.
  • Data collected from 1987 to January 2023.
  • Analysis performed using RStudio v.4.1.2.

Main Results:

  • A significant increase in research output was observed after 2004, indicating growing academic interest.
  • The Lancet and Nature Genetics are key journals, and the United States leads in research productivity.
  • Author S. Humphries is noted for significant contributions to the field.

Conclusions:

  • Bibliometric analysis provides valuable direction for future research into genetic factors in CHD and T2DM.
  • Increased attention to genome variability may spur deeper investigation into specific polymorphisms and their mechanisms.
  • Findings can inform collaborations and therapeutic innovations, promoting precision medicine for at-risk T2DM populations.
Abstract

Keywords:
Bibliometric AnalysisCoronary Heart DiseaseGenome VariabilityResearch HotspotsType 2 Diabetes Mellitus

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