Evidence map›Paper›PMID 30134981›Full record

ArticleLipids in health and disease2018

Atherogenic index of plasma (AIP): a novel predictive indicator for the coronary artery disease in postmenopausal women.

Ting-Ting Wu, Ying Gao, Ying-Ying Zheng, Yi-Tong Ma, Xiang Xie

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 153 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
153citing papers in PubMed, 3 pooled it
19.8field-weighted citation impact, top 1% 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

153 citing papers in PubMed, 3 syntheses or guidelines pooled it, 301 citations in OpenAlex.

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93 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Ting-Ting WuDepartment of Cardiology, First Clinical Medical College & First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Ying GaoCadre Ward, First Clinical Medical College & First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Ying-Ying ZhengDepartment of Cardiology, First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000, People's Republic of China.
Yi-Tong MaDepartment of Cardiology, First Clinical Medical College & First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China. myt_xj@sina.com.
Xiang XieDepartment of Cardiology, First Clinical Medical College & First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China. xiangxie999@sina.com.ORCID http://orcid.org/0000-0002-5555-8488
Xinjiang Medical University · CNFirst Affiliated Hospital of Zhengzhou University · CN

Funding

National Natural Science Foundation of China 81560070
6 · The paper itself

Abstract

backgroundDyslipidemia is one of the most important factors for coronary artery disease (CAD). Atherogenic index of plasma (AIP) is a novel indicator involved in dyslipidemia. However, the relation between AIP and CAD in postmenopausal women remains unclear. We hypotheses that AIP is a strong predictive indicator of CAD in postmenopausal women.

methodsA propensity score matching case-control study including 348 postmenopausal CAD cases and 348 controls was conducted in the present study.

resultsCompared with controls, CAD patients had higher levels of total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C) and apolipoprotein B (APOB), but lower high-density lipoprotein cholesterol (HDL-C) and apolipoprotein A-1 (APOA-1). The values of nontraditional lipid profiles, including non-HDL-C, TC/HDL-C, LDL-C/HDL-C, non-HDL-C/HDL-C (atherogenic index, AI), TC∗TG∗LDL/HDL-C (lipoprotein combine index, LCI), log(TG/HDL-C) (atherogenic index of plasma, AIP) and APOB/APOA-1 were all significantly higher in the CAD patients. The results of Pearson correlation analyses showed AIP was positively and significantly correlated with TC (r = 0.092, P < 0.001), TG (r = 0.775, P = 0.015), APOB (r = 0.140, P < 0.001), non-HDL-C (r = 0.295, P < 0.001), TC/HDL-C (r = 0.626, P < 0.001), LDL-C/HDL-C (r = 0.469, P < 0.001), AI (r = 0.626, P < 0.001), LCI (r = 0.665, P < 0.001), APOB/APOA-1(r = 0.290, P < 0.001) and was negatively correlated with APOA-1 (r = - 0.278, P < 0.001) and HDL-C (r = - 0.665, P < 0.001). In the multivariate logistic regression analysis, AIP was an independent predictor of CAD. After adjusting for the traditional clinical prognostic factors including diabetes and hypertension, we found AIP could be an independent risk factor for CAD (odds ratio [OR], 3.290; 95% confidence interval [CI], 1.842-5.877, P < 0.001). After adjusting for multiple clinical factors include diabetes, hypertension, smoking, heart ratio, fasting blood glucose, we found AIP also could a powerful risk factor, OR = 3.619, 95%CI (2.003-6.538), P < 0.001.

conclusionThe present study indicated that AIP might be a strong marker for predicting the risk of CAD in postmenopausal women.

Indexed as

AtherosclerosisCase-Control StudiesCoronary Artery DiseaseFemaleHumansLogistic ModelsMiddle AgedMultivariate AnalysisPostmenopauseRisk FactorsAtherogenic index of plasmaCoronary artery diseaseLipidsPostmenopausal women

Identifiers

PMID30134981
PMCPMC6106932
OpenAlexW2888638336

What OpenQuestion holds

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LicenceCC BY
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.