Evidence map›Paper›PMID 41098221›Full record

ArticleEJIFCC2025

Risk Assessment Analysis of Type II Diabetes Mellitus and Dyslipidemia with Coronary Artery Stenosis Scoring: Intervention Strategies.

Pradeep Kumar Dabla, Dharmsheel Shrivastav, Vimal Mehta, Swati Singh, Rashid Mir, Shyamalendu Kandar

Abstract read
In one paragraph

Article in EJIFCC, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

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.

Pradeep Kumar DablaDepartment of Biochemistry, Govind Ballabh Pant Institute of Postgraduate Medical Education & Research, Associated Maulana Azad Medical College, Jawaharlal, Nehru Marg, New Delhi.ORCID https://orcid.org/0000-0003-1409-6771
Dharmsheel ShrivastavDepartment of Biochemistry, Govind Ballabh Pant Institute of Postgraduate Medical Education & Research, Associated Maulana Azad Medical College, Jawaharlal, Nehru Marg, New Delhi.
Vimal MehtaDepartment of Cardiology, Govind Ballabh Pant Institute of Postgraduate Medical Education & Research, Associated Maulana Azad Medical College, Jawaharlal Nehru Marg, New Delhi, India.
Swati SinghDepartment of Biochemistry, Govind Ballabh Pant Institute of Postgraduate Medical Education & Research, Associated Maulana Azad Medical College, Jawaharlal, Nehru Marg, New Delhi.
Rashid MirPrince Fahd Bin Sultan Research chair; Department Of Medical Lab Technology, Faculty of Applied Medical Sciences, University of Tabuk, Tabuk, Kingdom of Saudi Arabia.
Shyamalendu KandarDepartment of Information Technology, Indian Institute of Engineering Science and Technology, Shibpur, Botanical Garden Area,Howrah, West Bengal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetes is an established risk factor for coronary artery disease (CAD), with substantial evidence linking it to a higher prevalence of multivessel disease and worse cardiovascular outcomes. This study aimed to explore the relationship between lipid profile and diabetes with severity of CAD by evaluating the degree of stenosis as assessed by Gensini Score (GS). Methods: A total of 300 participants were included: 100 CAD patients with diabetes, 100 CAD patients without diabetes, and 100 healthy controls. Serum lipoproteins were quantified using standard colorimetric methods, while HbA1c levels were determined through HPLC. GS was assessed using angiographic data obtained from the catheterization laboratory. Results: Significant differences in lipid profile, and HbA1c were observed between diabetic CAD patients, non-diabetic CAD patients, and healthy controls. The GS in patients with CAD was markedly elevated in the diabetic CAD cohort (32.97±22.47) in comparison to the non-diabetic CAD cohort (28.70±20.60). A positive correlation was found between HbA1c (r Conclusion: Our results suggest that lipoproteins and diabetic indicators have a considerable impact on the severity of CAD. This highlights the need for a more personalized approach in managing diabetes and CAD, incorporating regular monitoring of glucose and lipid levels to evaluate cardiovascular risk.

Indexed as

Coronary artery diseaseDiabetes MellitusGensini scoring systemHbA1cLipid profile

Identifiers

PMID41098221
PMCPMC12519630

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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 OpenQuestion graph.