Evidence map›Paper›PMID 40098017›Full record

ArticleBMC endocrine disorders2025

Triglyceride-glucose index: a potent predictor of metabolic risk factors and eating behavior patterns among obese individuals.

Amr Ali Mohamed Abdelgawwad El-Sehrawy, Lusine G Khachatryan, Aziz Kubaev, M M Rekha, Safia Obaidur Rab, Mandeep Kaur, Manmeet Singh, Manish Srivastava, Abed J Kadhim, Ahmed Hussein Zwamel

Abstract read
In one paragraph

Article in BMC endocrine disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

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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

10 authors.

Amr Ali Mohamed Abdelgawwad El-SehrawyDepartment of Internal Medicine, Diabetes, Endocrinology and Metabolism, Mansoura University, Mansoura, Egypt.
Lusine G KhachatryanDepartment of Pediatric Diseases, N.F. Filatov Clinical Institute of Children's Health, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia.
Aziz KubaevDepartment of Maxillofacial Surgery, Samarkand State Medical University, 18 Amir Temur Street, Samarkand, 140100, Uzbekistan. azizkubaev50@gmail.com.
M M RekhaDepartment of Chemistry and Biochemistry, School of Sciences, JAIN (Deemed to be University), Bangalore, Karnataka, India.
Safia Obaidur RabCentral Labs, King Khalid University, AlQura'a, P.O. Box 960, AlQura'a, Abha, Saudi Arabia.
Mandeep KaurDepartment of Sciences, Vivekananda Global University, Jaipur, Rajasthan, 303012, India.
Manmeet SinghDepartment of Applied Sciences, Chandigarh Engineering College, Chandigarh Group of Colleges- Jhanjeri, Mohali, Punjab, 140307, India.
Manish SrivastavaDepartment of Endocrinology, National Institute of Medical Sciences, NIMS University Rajasthan, Jaipur, India.
Abed J KadhimDepartment of Medical Engineering, Al-Nisour University College, Baghdad, Iraq.
Ahmed Hussein ZwamelMedical Laboratory Technique College, the Islamic University, Najaf, Iraq.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe strong potential of triglyceride to glucose index (TyG) in prediction of metabolic abnormalities is well identified in numerous disease including diabetes, metabolic syndrome and kidney disorders. However, no study is available to assess its validity and association with metabolic phenotype among obese individuals. In the current study, we aimed to evaluate the TyG index, its validity and association with metabolic parameters among obese individuals. METHODS AND MATERIALS: In the current cross-sectional study, 300 obese individuals were enrolled. Their demographic, anthropometric measurements were done and laboratory parameters including serum lipids, glycemic markers and insulin resistance were evaluated. Blood pressure was also measured with standard methods. The TyG index was calculated as the ln (fasting triglyceride level [mg/dL] × fasting glucose level [mg/dL]/2). Eating pattern was measured with three factor eating behavior questionnaire (TFEQ). Receiver operator characteristic curve was used to assess the TyG validity.

resultsSubjects at the higher TyG tertile had higher waist o hip ratio (WHR) and eating disorder compared with lowest tertiles. Also, those at the highest tertiles had significantly higher total cholesterol (TC), triglyceride (TG), and fasting blood sugar (FBS), and lower high density lipoprotein cholesterol (HDL). According to the ROC curve analysis for various metabolic parameters, TyG demonstrated the highest area under curve (AUC) value of 0.838 compared with other metabolic parameters in identification of metabolic syndrome.

conclusionThe current study provides valuable insights into the relationship between TyG index, metabolic parameters, and eating behaviors among obese individuals.

Indexed as

BiomarkersBlood GlucoseFeeding BehaviorMetabolic SyndromeObesityTriglyceridesAdultCross-Sectional StudiesFemaleFollow-Up StudiesHumansInsulin ResistanceMaleMiddle AgedPrognosisRisk FactorsBiomarkersBlood GlucoseTriglyceridesLipid profileMetabolic syndromeObesityTriglyceride to glucose indexTyG

Identifiers

PMID40098017
PMCPMC11917143

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.