Evidence map›Paper›PMID 39500546›Full record

ArticleEndocrinology, diabetes & metabolism2024

Atherogenic Index of Plasma (AIP): The Most Accurate Indicator of Overweight and Obesity Among Lipid Indices in Type 2 Diabetes-Findings From a Cross-Sectional Study.

Sahar Karimpour Reyhan, Amirhossein Yadegar, Sahar Samimi, Pooria Nakhaei, Alireza Esteghamati, Manouchehr Nakhjavani, Soheil Karimpour Reihan, Soghra Rabizadeh

Abstract read
In one paragraph

Article in Endocrinology, diabetes & metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Sahar Karimpour ReyhanEndocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0003-2669-6942
Amirhossein YadegarEndocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-7370-9307
Sahar SamimiEndocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Pooria NakhaeiEndocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Alireza EsteghamatiEndocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Manouchehr NakhjavaniEndocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-9744-2328
Soheil Karimpour ReihanMechanical Engineering School, University of Tehran, Tehran, Iran.
Soghra RabizadehEndocrinology and Metabolism Research Center (EMRC), Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-3752-302X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to evaluate the relationships of conventional and calculated lipid indices with obesity or overweight in patients with type 2 diabetes (T2D).

methodsIn this cross-sectional study, all participants were categorised into three groups: normal weight (18 ≤ BMI < 25), overweight (25 ≤ BMI < 30) and obese (BMI ≥ 30). Conventional lipid indices, including triglyceride (TG), total cholesterol, LDL-C and HDL-C, were measured. Lipid indices, including the atherogenic index of plasma (AIP), non-HDL-C, TC/HDL-C, LDL-C/HDL-C, non-HLD-C/HDL-C (atherogenic index, AI) and lipoprotein combine index (LCI), were calculated. The associations of these lipid indices with obesity and overweight status were evaluated using univariate and multivariate multinomial logistic regression analyses.

resultsIn this study, 2661 patients with T2D, including 651 patients with normal weight, 1144 with overweight, and 866 with obesity, were recruited. According to a multinomial logistic regression analysis after adjustment for multiple confounders, the odds ratio (OR) was greater for the AIP than for other conventional and calculated lipid indices in overweight and obese patients with T2D. The AIP had a significant relationship with overweight, with an OR of 4.79 (95% CI: 1.65-13.85), and it had a significant relationship with obesity, with an OR of 13.64 (95% CI: 3.96-47.04). According to the ROC curve, with a cut-off value of 0.68, AIP could predict obesity with 82% sensitivity and 55% specificity (AUC = 0.770, 95% CI: 0.729-0.812, p < 0.001).

conclusionCompared with other conventional and calculated lipid markers, the AIP is most strongly associated with obesity and overweight in patients with T2D.

Indexed as

Diabetes Mellitus, Type 2ObesityOverweightAdultAgedAtherosclerosisBiomarkersBody Mass IndexCross-Sectional StudiesFemaleHumansLipidsMaleMiddle AgedTriglyceridesBiomarkersLipidsTriglyceridesatherogenic index of plasmadiabeteslipid indicesobesityoverweight

Identifiers

PMID39500546
PMCPMC11537723

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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.