Evidence map›Paper›PMID 42371339›Full record

ArticleJournal of endocrinological investigation2026

Phase angle and triglyceride-glucose index as biomarkers of glycemic control, body composition and cardiovascular risk in adolescents with type 1 diabetes: a cross-sectional study.

Marta García-Poblet, José Miguel Martínez-Sanz, Manuel Antonio Alberola-Chazarra, Esther Soler-Climent, Ana Pilar Nso-Roca, Isabel Sospedra

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in Journal of endocrinological investigation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07021326 (Phase Angle and Triglyceride-glucose Index as Glycaemic Control, Body Composition and Cardiovascular Risk Biomarkers in Adolescents With Type 1 Diabetes), which is not on this map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

NCT07021326 completednot on this map

Phase Angle and Triglyceride-glucose Index as Glycaemic Control, Body Composition and Cardiovascular Risk Biomarkers in Adolescents With Type 1 Diabetes: a Cross-sectional Study.

Typeobservational_patient_registrySponsorUniversity of AlicanteRan2022 to 2024Enrolled73ConditionsType 1 Diabetes MellitusArmsthere is no intervention
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

6 authors.

Marta García-PobletNursing Department, Faculty of Health Science, University of Alicante, 03692, Alicante, Spain.ORCID http://orcid.org/0000-0001-7110-6222
José Miguel Martínez-SanzNursing Department, Faculty of Health Science, University of Alicante, 03692, Alicante, Spain. josemiguel.ms@ua.es.ORCID http://orcid.org/0000-0001-9054-3858
Manuel Antonio Alberola-ChazarraPediatrics Unit, General Hospital of Elche, 03203, Elche, Alicante, Spain.
Esther Soler-ClimentPediatrics Unit, General Hospital of Elche, 03203, Elche, Alicante, Spain.ORCID http://orcid.org/0000-0002-8543-4865
Ana Pilar Nso-RocaPediatrics Unit, University Hospital of San Juan, 03550, San Juan de Alicante, Alicante, Spain.ORCID http://orcid.org/0000-0002-0601-0213
Isabel SospedraNursing Department, Faculty of Health Science, University of Alicante, 03692, Alicante, Spain.ORCID http://orcid.org/0000-0002-8513-8986

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTraditional markers such as HbA1c and BMI are commonly used to assess metabolic risk in adolescents with type 1 diabetes mellitus (T1DM), but novel biomarkers like the triglyceride-glucose (TyG) index and phase angle (PA) may provide a more comprehensive evaluation of metabolic risk. However, their potential role in this population remains unclear. We aimed (1) to evaluate the association of the TyG index and PA with glycemic control, cardiovascular risk and body composition in adolescents with T1DM, and (2) to determine optimal cut-off points for these biomarkers to predict metabolic risk.

methodsSeventy-three adolescents (46.6% female, 10-19 years) with T1DM from two hospitals were included in this cross-sectional study. Sociodemographic, bioelectrical impedance (BIA) and clinical data were collected during routine visits. The TyG index was calculated from fasting triglyceride and glucose levels, and PA was measured via BIA. Correlations were analyzed using Pearson or Spearman coefficients, and ROC curve analyses were used to determine optimal cut-off points.

resultsPA correlated positively with skeletal muscle and fat-free mass and inversely with cardiovascular risk indicators. TyG was strongly associated with adiposity, glycemic variability and cardiovascular risk markers. A preliminary TyG threshold of 8.09 was identified, while no PA cut-off could be established.

conclusionsPA and the TyG index are promising, non-invasive biomarkers that complement traditional measures in assessing metabolic risk in adolescents with T1DM. Integrating these biomarkers into routine evaluation may enhance early risk detection and support holistic management in this population. TRIAL REGISTRATION NUMBER: NCT07021326.

Indexed as

AdolescentBiomarkerMetabolic riskPhase angleTriglyceride-glucose indexType 1 diabetes mellitus

Identifiers

PMID42371339

What OpenQuestion holds

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Registered trials

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.