Evidence map›Paper›PMID 39600715›Full record

ArticleJournal of multidisciplinary healthcare2024

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

Nazira B Bekenova, Tamara A Vochshenkova, Aliya Zhylkybekova, Nurgul Ablakimova, Nadiar M Mussin, Rustam K Albayev, Asset A Kaliyev, Amin Tamadon

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Nazira B Bekenova *Gerontology Center, Medical Center of the President's Affairs Administration of the Republic of Kazakhstan, Astana, Kazakhstan.
Tamara A Vochshenkova *Gerontology Center, Medical Center of the President's Affairs Administration of the Republic of Kazakhstan, Astana, Kazakhstan.ORCID 0000-0003-0935-6217
Aliya ZhylkybekovaDepartment of Evidence-Based Medicine and Scientific Management, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.
Nurgul AblakimovaDepartment of Pharmacology, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.
Nadiar M MussinGeneral Surgery, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.
Rustam K AlbayevGerontology Center, Medical Center of the President's Affairs Administration of the Republic of Kazakhstan, Astana, Kazakhstan.
Asset A KaliyevGeneral Surgery, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.
Amin TamadonGerontology Center, Medical Center of the President's Affairs Administration of the Republic of Kazakhstan, Astana, Kazakhstan.ORCID 0000-0002-0222-3035

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cardiovascular diseases (CVDs) stand as the foremost global cause of mortality, accounting for 32% of total deaths in 2019, with 85% attributed to heart attacks and strokes. Individuals with Type 2 Diabetes Mellitus (T2DM) exhibit an elevated susceptibility to coronary heart disease (CHD). In numerous studies, it has been established that genetic polymorphism of genes influences the onset, progression, and complications of coronary heart disease (CHD) and type 2 diabetes mellitus (T2DM). The aims of this study are to employ bibliometric analysis methods for mapping the array of research on genome variability concerning the development of coronary heart disease in individuals with type 2 diabetes mellitus. Methods: We derived the data from the Web of Science (WoS) Core Collection database and Scopus on January 6, 2023. All publications from 1987 to 2023 are exported in plain text format for WoS-CC and BibTeX format for Scopus, containing bibliographic information, keywords, and citation information. RStudio v.4.1.2 software (RStudio, PBC, Boston, MA, USA) was used for conducting bibliometric analysis. Results: Our analysis of 241 articles published between 1987 and 2023 revealed a consistent increase in research output, especially after 2004, highlighting a growing academic focus on genome variability's role in coronary heart disease (CHD) development among Type 2 Diabetes Mellitus (T2DM) patients. Key contributing journals include The Lancet and Nature Genetics, indicating high-impact interest in this domain. The United States leads in research productivity and collaboration, with China also emerging as a notable contributor in recent years. Prominent authors such as S. Humphries have significantly shaped the field, contributing to a cumulative knowledge base that underscores the role of genetic factors in CHD among T2DM patients. Discussion: Our findings underscore the value of bibliometric studies in guiding future research directions. This increasing scholarly attention to genome variability in CHD and T2DM may encourage deeper investigation into specific genetic polymorphisms and their mechanistic roles in disease progression. Additionally, these insights can help prioritize collaboration across leading research hubs and potentially drive innovation in therapeutic interventions targeting genetic risk factors in CHD and T2DM. Future research could build on these trends by focusing on comparative studies across populations, advancing precision medicine approaches for at-risk individuals with T2DM.

Indexed as

Bibliometric AnalysisCoronary Heart DiseaseGenome VariabilityResearch HotspotsType 2 Diabetes Mellitus

Identifiers

PMID39600715
PMCPMC11590629

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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.