Evidence map›Paper›PMID 38659608›Full record

ReviewBioMed research international2024

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

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

Open access · hybridAbstract readReview
In one paragraph

Review in BioMed research international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 25% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

8 authors at 1 institution in 1 country.

Nazira B BekenovaGerontology Center, Medical Center of the President's Affairs Administration of the Republic of Kazakhstan, Astana, Kazakhstan.ORCID https://orcid.org/0000-0002-3312-3299
Tamara A VochshenkovaGerontology Center, Medical Center of the President's Affairs Administration of the Republic of Kazakhstan, Astana, Kazakhstan.ORCID https://orcid.org/0000-0003-0935-6217
Nurgul AblakimovaDepartment of Pharmacology, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.ORCID https://orcid.org/0000-0002-1100-2904
Aliya ZhylkybekovaDepartment of Evidence-Based Medicine and Scientific Management, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.ORCID https://orcid.org/0000-0001-5036-4898
Nadiar M MussinGeneral Surgery, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.ORCID https://orcid.org/0000-0003-3600-8840
Rustam K AlbayevGerontology Center, Medical Center of the President's Affairs Administration of the Republic of Kazakhstan, Astana, Kazakhstan.ORCID https://orcid.org/0000-0002-2689-2663
Asset A KaliyevGeneral Surgery, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.ORCID https://orcid.org/0009-0006-7833-3552
Amin TamadonDepartment for Natural Sciences, West Kazakhstan Marat Ospanov Medical University, Aktobe, Kazakhstan.ORCID https://orcid.org/0000-0002-0222-3035
West Kazakhstan Marat Ospanov State Medical University · KZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

BibliometricsCardiovascular DiseasesDiabetic NeuropathiesGenotypeGenetic Predisposition to DiseaseHumans

Identifiers

PMID38659608
PMCPMC11042907
OpenAlexW4394800463

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.