Evidence map›Paper›PMID 39849378›Full record

ArticleBMC cardiovascular disorders2025

Beyond traditional metrics: evaluating the triglyceride-total cholesterol-body weight index (TCBI) in cardiovascular risk assessment.

Mohsen Rezaee, Farzam Kamrani, Mobina Imannezhad, Hamed Hashemi Shahri, Waleed Khaled Saihood, Alireza Rezvani, Parsa Mearaji Far, Hanie Mahaki, Habibollah Esmaily, Mohsen Moohebati and 3 more

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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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

13 authors.

Mohsen Rezaee *Student Research Committee, School of Medicine, Semnan University of Medical Sciences, Semnan, Iran.
Farzam Kamrani *Department of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Mobina ImannezhadDepartment of Nutrition, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Hamed Hashemi ShahriDepartment of Clinical Pharmacy, Damghan Branch, Islamic Azad University, Damghan, Iran.
Waleed Khaled SaihoodDepartment of Biochemistry and Biophysics, Faculty of Sciences, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Alireza RezvaniMetabolic syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, 99199-91766, Iran.
Parsa Mearaji FarMetabolic syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, 99199-91766, Iran.
Hanie MahakiMetabolic syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, 99199-91766, Iran.
Habibollah EsmailyDepartment of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
Mohsen MoohebatiMetabolic syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, 99199-91766, Iran.
Mohammad ShariatiBlood Burn Infections Research Center, Academic Center for Education, Culture and Research (ACECR, Vascular and Endovascular Surgery Research Center, Mashhad University of medical sciences, Mashhad, Iran.
Majid Ghayour-MobarhanMetabolic syndrome Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, 99199-91766, Iran. ghayourm@mums.ac.ir.
Susan DarroudiVascular and Endovascular Surgery Research Center, Mashhad University of medical sciences, Mashhad, 99199-91766, Iran. darroudis921@gmail.com.

Funding

Mashhad University of Medical Sciences 4021804
6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD), a non-communicable condition, stands as the primary cause of death globally. This study seeks to evaluate the predictive power of atherogenic indices, which are recognized for their influence on CVD, alongside a newly developed index encompassing all three principal risk factors for CVD, referred to as the triglyceride-total cholesterol-body weight index (TCBI). The primary outcomes evaluated include both the incidence and mortality rates associated with CVD.

methodsA prospective cohort study was conducted on Mashhad stroke and heart atherosclerotic disorder (MASHAD) study data, involving 9704 healthy participants. Baseline variables were measured, and TCBI, Atherogenic Index of Plasma (AIP), Atherogenic Coefficient (AC), Castelli risk index I and II (CRI-I & II) were calculated using specific formulas.

resultsFollowing a 10-year follow-up period, a significant positive relationship was observed between TCBI (HR: 1.078, 95% CI: 1.012-1.15), CRI-I (HR: 1.16, 95% CI: 1.007-1.337), and CRI-II (HR: 1.199, 95% CI: 1.001-1.437) with CVD mortality. However, no significant relationship was identified between TCBI and atherogenic indices related to CVD incidence, and neither AIP nor AC was associated with CVD mortality.

conclusionIn conclusion, TCBI, in contrast to AC and AIP, was linked to increased CVD mortality. However, the more substantial predictive capabilities of CRI-I and CRI-II compared to TCBI emphasize the importance of traditional atherogenic indices for accurate risk assessment. These findings underscore the necessity of enhancing the TCBI formula to improve its effectiveness in assessing CVD risk.

Indexed as

Body WeightCardiovascular DiseasesCholesterolTriglyceridesAdultAgedBiomarkersFemaleHeart Disease Risk FactorsHumansIncidenceMaleMiddle AgedPredictive Value of TestsPrognosisProspective StudiesBiomarkersCholesterolTriglyceridesACAPAtherogenic indicesCRI-ICRI-IICVDMortalityTCBI

Identifiers

PMID39849378
PMCPMC11756170

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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.