A Bibliometric Analysis of Study of Associations of Certain Genotypes with the Cardiovascular Form of Diabetic Neuropathy

Author:

Bekenova Nazira B.1ORCID,Vochshenkova Tamara A.1ORCID,Ablakimova Nurgul2ORCID,Zhylkybekova Aliya3ORCID,Mussin Nadiar M.4ORCID,Albayev Rustam K.1ORCID,Kaliyev Asset A.4ORCID,Tamadon Amin56ORCID

Affiliation:

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

2. Department of Pharmacology, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan

3. Department of Evidence-Based Medicine and Scientific Management, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan

4. General Surgery, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan

5. Department for Natural Sciences, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan

6. PerciaVista R&D Co., Shiraz, Iran

Abstract

This bibliometric analysis explores the landscape of research on the associations between specific genotypes and the cardiovascular form of diabetic neuropathy. Diabetes mellitus (DM) is a major contributor to premature mortality, primarily due to increased susceptibility to cardiovascular diseases. The global prevalence of DM is rising, with projections indicating further increases. Diabetic neuropathy, a complication of DM, includes the cardiovascular subtype, posing challenges in diagnosis and management. Understanding the genetic basis of cardiovascular diabetic neuropathy is crucial for targeted therapeutic interventions. The study utilizes bibliometric analysis to synthesize existing literature, identify trends, and guide future research. The Scopus database was searched, applying inclusion criteria for English articles related to genotypes and cardiovascular diabetic neuropathy. The analysis reveals a dynamic field with a notable impact, collaborative efforts, and multidimensional aspects. Publication trends over 1997-2023 demonstrate fluctuating research intensity. Top journals, authors, and affiliations are highlighted, emphasizing global contributions. Keyword analysis reveals thematic trends, and citation analysis identifies influential documents. Limitations include database biases, incomplete metadata, and search query specificity. The urgent need to explore genetic factors in cardiovascular diabetic neuropathy aligns with the increasing global diabetes burden. This analysis provides a comprehensive overview, contributing to the broader discourse on diabetic neuropathy research.

Funder

Ministry of Education and Science of the Republic of Kazakhstan

Publisher

Hindawi Limited

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