Evidence map›Paper›PMID 39696478›Full record

ArticleCardiovascular diabetology2024

The relationship between atherogenic index of plasma and plaque vulnerabilities: an optical coherence tomography study.

Sijing Wu, Yanan Gao, Wei Liu, Rutao Wang, Qian Ma, Jiayin Sun, Wei Han, Shuo Jia, Yu Du, Ziwei Zhao and 3 more

Abstract read
In one paragraph

Article in Cardiovascular diabetology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

13 authors.

Sijing WuCardiology Department, Beijing Anzhen Hospital, Anzhen Road No. 2, Chaoyang District, Beijing, China.
Yanan GaoCardiology Department, Fuwai Hospital, Beilishi Road No. 167, Xicheng District, Beijing, China.
Wei LiuCardiology Department, Beijing Jishuitan Hospital, Xinjiekou East Road No. 3, Xicheng District, Beijing, China.
Rutao WangCardiology Department, Xijing Hospital, Xi'an, China.
Qian MaCardiology Department, Beijing Anzhen Hospital, Anzhen Road No. 2, Chaoyang District, Beijing, China.
Jiayin SunCardiology Department, Beijing Anzhen Hospital, Anzhen Road No. 2, Chaoyang District, Beijing, China.
Wei HanCardiology Department, Beijing Anzhen Hospital, Anzhen Road No. 2, Chaoyang District, Beijing, China.
Shuo JiaCardiology Department, Beijing Anzhen Hospital, Anzhen Road No. 2, Chaoyang District, Beijing, China.
Yu DuCardiology Department, Beijing Anzhen Hospital, Anzhen Road No. 2, Chaoyang District, Beijing, China.
Ziwei ZhaoCardiology Department, Beijing Anzhen Hospital, Anzhen Road No. 2, Chaoyang District, Beijing, China.
Yuyang LiuCardiology Department, Beijing Anzhen Hospital, Anzhen Road No. 2, Chaoyang District, Beijing, China.
Zhijian WangCardiology Department, Beijing Anzhen Hospital, Anzhen Road No. 2, Chaoyang District, Beijing, China. zjwang1975@hotmail.com.
Yujie ZhouCardiology Department, Beijing Anzhen Hospital, Anzhen Road No. 2, Chaoyang District, Beijing, China. azzyj12@163.com.

Funding

Beijing High-level Public Health Technical Talents Construction Project Academic leader-03-24Capital's Funds for Health Improvement and Research 2022-2-1052National Key Research and Development Program of China 2022YFC3602500National Natural Science Foundation of China 81400324Natural Science Foundation of Beijing Municipality 7182048Natural Science Foundation of Beijing Municipality 7232039
6 · The paper itself

Abstract

backgroundAtherogenic index of plasma (AIP) has been recommended as a marker of plasma atherogenicity. The impact of AIP on plaque characteristics is not fully understood. PURPOSE: The study investigates the relationship between AIP and coronary plaque features in patients with acute coronary syndrome (ACS).

methodsFrom January 2016 to June 2017 pre-intervention optical coherence tomography (OCT) was performed in 522 ACS patients. AIP was defined as the base 10 logarithm of the ratio of the concentrations of triglyceride to high-density lipoprotein cholesterol. Patients were divided into four groups according to AIP quartiles.

resultsA total of 332 patients were included for the analysis. The prevalence of thin-cap fibroatheroma (TCFA) (group I [lowest] 9.09% vs group II 16.5% vs group III 44.7% vs group IV [highest] 52.9%), macrophage accumulation (group I 18.2% vs group II 22.4% vs group III 31.8% vs group IV 47.1%), plaque rupture (group I 10.4% vs group II 14.1% vs group III 17.6% vs group IV 34.1%) and plaque erosion (group I 2.6% vs group II 2.4% vs group III 14.1% vs group IV 12.9%) were significantly different among AIP quartiles. Multivariate logistic regression revealed the risk of TCFA (odds ratio 11.130, 95% confidence interval 4.186-29.593, p < 0.001) and plaque rupture (OR 5.332, 95% CI 2.040-13.937, p < 0.001) increased in group IV compared to group I. Receiver operating characteristics curve showed the predictive value of AIP for TCFA and plaque rupture were 0.720 and 0.669 respectively. CONCLUSION(S): AIP is an independent predictor for vulnerable plaques beyond traditional factors. It can be integrated in clinical practice for risk stratification of ACS patients.

trial registrationAll patients gave their consent to participate in the study and the Ethics Committee of Beijing Anzhen Hospital, Capital Medical University approved it (2020047X).

Indexed as

Acute Coronary SyndromeBiomarkersCholesterol, HDLCoronary Artery DiseaseCoronary VesselsPlaque, AtheroscleroticPredictive Value of TestsTomography, Optical CoherenceTriglyceridesAgedFemaleFibrosisHumansMaleMiddle AgedPrevalenceBiomarkersCholesterol, HDLTriglycerides

Identifiers

PMID39696478
PMCPMC11656644

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.