Evidence mapPaperPMID 39280320Full record

SynthesisNarra J2024

Association between triglyceride-glucose index and hypertension: A systematic review and meta-analysis.

Antonia A Lukito, William Kamarullah, Ian Huang, Raymond Pranata

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Narra J, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

4 authors.

Antonia A LukitoDepartment of Cardiology and Vascular Medicine, Faculty of Medicine, Universitas Pelita Harapan, Tangerang, Indonesia.
William KamarullahFaculty of Medicine and Health Sciences, Universitas Katolik Indonesia Atma Jaya, Jakarta, Indonesia.
Ian HuangDepartment of Internal Medicine, Faculty of Medicine, Universitas Pelita Harapan, Tangerang, Indonesia.
Raymond PranataDepartment of Cardiology and Vascular Medicine, Faculty of Medicine, Universitas Pelita Harapan, Tangerang, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The triglyceride-glucose (TyG) index is a simple and reliable indicator of insulin resistance, which is an important contributor to the development of hypertension. The aim of this meta-analysis was to determine the dose-response association between the TyG index and the incidence of hypertension. An extensive search was conducted through several databases, including PubMed, EMBASE, ScienceDirect, and Scopus, until June 1, 2024. The TyG index was used as the exposure, and the incidence of hypertension was measured throughout the TyG index intervals. The effect estimates were presented as odds ratios (OR) in both the unadjusted and adjusted models. Adjusted OR were carried out from all included studies to eliminate the possibility of confounding factors being involved in the incidence of hypertension. A total of 108.936 participants (mean age: 48.2 years old, male: 47%, mean body mass index: 23.9 kg/m2) from 14 observational studies were included. The TyG index in the most eminent category was related to a higher risk of hypertension in both unadjusted (OR: 2.59, 95%CI: 2.03-3.31,

Indexed as

Blood GlucoseHypertensionInsulin ResistanceTriglyceridesFemaleHumansIncidenceMaleMiddle AgedRisk FactorsBlood GlucoseTriglyceridesBlood pressurehypertensioninsulin resistancelipidtriglyceride-glucose index

Identifiers

PMID39280320
PMCPMC11394170

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.