Evidence map›Paper›PMID 39184606›Full record

ArticleCureus2024

Comparison of Lipid Profiles Between Prediabetic and Non-prediabetic Young Adults.

Irfan G Mulla, Ashish Anjankar, Ashok Shinde, Shilpa Pratinidhi, Sarita V Agrawal, Deepak B Gundpatil, Sandip D Lambe

Abstract read
In one paragraph

Article in Cureus, 2024. 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

7 authors.

Irfan G MullaBiochemistry, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Ashish AnjankarBiochemistry, Jawaharlal Nehru Medical College, Wardha, IND.
Ashok ShindePhysiology and Biochemistry, Sinhgad Dental College and Hospital, Pune, IND.
Shilpa PratinidhiBiochemistry, Bharatratna Atalbihari Vajpayee Medical College, Pune, IND.
Sarita V AgrawalBiochemistry, Bharatratna Atalbihari Vajpayee Medical College, Pune, IND.
Deepak B GundpatilBiochemistry, Bharatratna Atalbihari Vajpayee Medical College, Pune, IND.
Sandip D LambeBiochemistry, Smt. Mathurabai Bhausaheb Thorat Institute of Medical Sciences and Research Center, Nashik, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Insulin resistance is considered a key component in the pathophysiology of prediabetes. Derangement in lipid parameters can occur in prediabetics that predispose to cardiovascular complications. Material and methods We performed an observational cross-sectional analytical study in a tertiary level Acharya Vinoba Bhave hospital, Sawangi, Wardha to compare the lipid profile in prediabetics with non-prediabetic young individuals between 18 and 35 age group in terms of parameters such as total cholesterol, triglyceride (TG), low-density lipoproteins (LDL) cholesterol, very low-density lipoprotein (VLDL) cholesterol, and high-density lipoprotein (HDL) cholesterol. Results We observed that prediabetics have significantly elevated total cholesterol, LDL cholesterol, VLDL cholesterol, and TG; and significantly reduced HDL cholesterol compared with the controls (p<0.001 each). Conclusion We conclude that the lipid parameters are deranged in prediabetics and this might contribute to the risk associated with dyslipidemia in this population.

Indexed as

atherosclerosiscardiovascular complicationsderanged lipid profileldl cholesterolprediabetes risktotal cholesterol levelstriglyceride

Identifiers

PMID39184606
PMCPMC11343337

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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.