Evidence map›Paper›PMID 40213252›Full record

ReviewAnnals of medicine and surgery (2012)2025

Triglyceride-glucose index as a marker in cardiovascular diseases; a bibliometric study and visual analysis.

Abdulhadi Alotaibi, Abinash Mahapatro, Mohit Mirchandani, Saisree Reddy Adla Jala, Elan Mohanty, Mohammed Dheyaa Marsool Marsool, Herby Jeanty, Pavan Devulapally, Shika M Jain, Mohammad-Hossein Keivanlou and 4 more

Abstract readReview
In one paragraph

Review in Annals of medicine and surgery (2012), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

14 authors.

Abdulhadi AlotaibiDepartment of Medicine and Surgery, Vision Colleges, Riyadh, Saudi Arabia.
Abinash MahapatroHi-Tech Medical College and Hospital, Rourkela, Odisha, India.
Mohit MirchandaniMontefiore Medical Center Wakefield Campus, New York, USA.
Saisree Reddy Adla JalaMission Hospital, Asheville, North Carolina, USA.
Elan MohantyMary Medical Center Apple Valley, California, USA.
Mohammed Dheyaa Marsool MarsoolMayo Clinic, Scottsdale, Phoenix, Arizona, USA.
Herby JeantyThe Brooklyn Hospital Center, Brooklyn, USA.
Pavan DevulapallyMain Methodist Hospital, San Antonio, Texas, USA.
Shika M JainMVJ Medical College and Research Hospital, Bengaluru, India.
Mohammad-Hossein KeivanlouSchool of Medicine, Guilan University of Medical Sciences, Rasht, Iran.
Pegah RashidianSchool of Medicine, Guilan University of Medical Sciences, Rasht, Iran.
Reza Amani-BeniHeart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran.
Maryam HasanpourSchool of Medicine, Guilan University of Medical Sciences, Rasht, Iran.
Ehsan Amini-SalehiSchool of Medicine, Guilan University of Medical Sciences, Rasht, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aims to conduct a bibliometric analysis of the triglyceride-glucose (TyG) index in relation to cardiovascular disorders. Methods: Data for the analysis were extracted from the Web of Science Core Collection database on 13 July 2024. We utilized VOSviewer, CiteSpace, and Biblioshiny tools for the analysis. Results: The study revealed a marked increase in research outputs on the TyG index in recent years, peaking with 137 publications in 2023. China emerged as the leading contributor, followed by the USA. The Chinese Academy of Medical Sciences and Peking Union Medical College were among the top contributing institutions. Shouling Wu and Shuohua Chen emerged as the leading authors, with the journal Cardiovascular Diabetology publishing the most articles on this topic. Keyword analysis identified "insulin-resistance" as the most frequently occurring term, followed by "risk." Cluster analysis identified eleven key research areas, including "percutaneous coronary intervention," "obesity indicators," "arterial stiffness," and "heart failure." Conclusion: This bibliometric analysis highlights the expanding role of the TyG index in metabolic and cardiovascular research. Key clusters such as percutaneous coronary intervention, obesity indicators, arterial stiffness, heart failure, new-onset hypertension, predicting outcomes, and subclinical coronary artery disease emphasize its wide applicability across diverse clinical settings. The keyword "risk" was the most frequently occurring term, underscoring the importance of the TyG index in cardiovascular risk assessment, alongside its growing use in prognostic applications. These findings reflect the increasing recognition of the TyG index as a pivotal biomarker in cardiovascular medicine and encourage further exploration of its clinical integration.

Indexed as

bibliometric analysiscardiovascular diseasesdata visualizationtriglyceride-glucose index

Identifiers

PMID40213252
PMCPMC11981332

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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.