Evidence map›Paper›PMID 37867984›Full record

ArticleIndian journal of endocrinology and metabolism

Association of TCF7L2 Variants in Type 2 Diabetes Mellitus with Hypertriglyceridemia - A Case-Control Study.

Nagarajan Gunavathy, Ramanathan Balaji, Velayutham Kumaravel

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of endocrinology and metabolism. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Nagarajan GunavathyDepartment of Molecular Genetics, Alpha Health Foundation, Madurai, Tamil Nadu, India.
Ramanathan BalajiDepartment of Molecular Genetics, Alpha Health Foundation, Madurai, Tamil Nadu, India.
Velayutham KumaravelDepartment of Molecular Genetics, Alpha Health Foundation, Madurai, Tamil Nadu, India.
Creative Commons · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Type 2 Diabetes Mellitus (T2DM) is a chronic metabolic condition involving various genetic and environmental factors leading to impaired insulin secretion, resulting in hyperglycemia. The transcription factor 7-like 2 (TCF7L2) gene is an element of the Wnt signaling pathway that plays an important role in glucose and lipid metabolism. The aim of this study is to evaluate the association of TCF7L2 rs7903146 and rs12255372 polymorphisms in T2DM with hypertriglyceridemia. Methods: We investigated the effect of rs7903146 and rs12255372 on T2DM with high triglyceride (TG) levels in 60 patients and 20 controls. The anthropometric measurements and biochemical tests were assessed. Peripheral blood samples were collected, and genomic DNA was extracted. The genotyping of TCF7L2 polymorphisms was carried out using polymerase chain reaction (PCR)-based direct sequencing and allele-specific PCR methods. The T2DM patients and controls were compared by means of the t-test, Chi-square test, odds ratio (OR), and 95% confidence interval (CI) using Results: The HbA1c was found to be 9.7 ± 2.1 and 5.4 ± 0.5% in patients and controls, respectively. The average TG levels ( Conclusion: The results of this study show that TCF7L2 rs7903146 CT/TT and rs12255372 GT/TT genotypes are significantly associated with the risk of hypertriglyceridemia in individuals with T2DM among the studied population.

Indexed as

Polymorphismrs12255372rs7903146TCF7L2triglycerides

Identifiers

PMID37867984
PMCPMC10586556
OpenAlexW4386238500

What OpenQuestion holds

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LicenceCC BY-NC-SA
Read underepoch 390

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 OpenQuestion graph.