Evidence map›Paper›PMID 35125699›Full record

ArticleIndian journal of clinical biochemistry : IJCB2022

Correlation of Serum Retinol and Atherogenic Indices in Type 2 Diabetes Mellitus: A Case-Control Study.

C Cecilia Xavier Jyothi, Debapriya Bandyopadhyay, Suchanda Sahu, Binod Kumar Patro, Saurav Nayak

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In one paragraph

Article in Indian journal of clinical biochemistry : IJCB, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 58% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

5 authors at 1 institution in 1 country.

C Cecilia Xavier JyothiDepartment of Biochemistry, AIIMS, Bhubaneswar, India.ORCID 0000-0002-9237-8531
Debapriya BandyopadhyayDepartment of Biochemistry, AIIMS, Bhubaneswar, India.ORCID 0000-0002-7262-3990
Suchanda SahuDepartment of Biochemistry, AIIMS, Bhubaneswar, India.ORCID 0000-0001-9185-0649
Binod Kumar PatroDepartment of Community Medicine and Family Medicine, AIIMS, Bhubaneswar, India.ORCID 0000-0003-0019-4522
Saurav NayakDepartment of Biochemistry, AIIMS, Bhubaneswar, India.ORCID 0000-0003-2394-295X
All India Institute of Medical Sciences Bhubaneswar · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dyslipidemia is an important risk factor for atherosclerosis and coronary heart disease, leading to mortality and morbidity in subjects with T2DM. This risk is higher in subjects with diabetes who are on retinoid therapy for some other indication, where hypercholesterolemia, hypertriglyceridemia, and low serum high-density lipoprotein cholesterol (HDL-C), and sudden cardiovascular deaths have been reported. Our study aimed to find the correlation of serum retinol and atherogenic index (AI) in subjects with T2DM and compare them with healthy controls. We found there was a significant difference in systolic and diastolic blood pressure, body mass index, waist circumference, waist hip ratio, total cholesterol (TC), Triglycerides (TG), non-high density lipoprotein cholesterol (non-HDL-C), the atherogenic ratio of cholesterol (ARC), atherogenic index of plasma (AIP) and AI between the two groups. There was a significant positive correlation of serum retinol with TC, TG, LDL-C, Non-HDL-C, ARC, AIP, and AI. In our study we found an association of serum retinol with atherogenic index and dyslipidemia in subjects with T2DM. Serum retinol can be a novel predictor of cardiovascular risk in subjects with T2DM.

Indexed as

AtherosclerosisCardiovascularDyslipidaemiaRetinoid therapyVitamin A

Identifiers

PMID35125699
PMCPMC8799824
OpenAlexW3123481309

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.