Evidence map›Paper›PMID 36185625›Full record

ArticleWorld journal of gastroenterology2022

Atherogenic index of plasma combined with waist circumference and body mass index to predict metabolic-associated fatty liver disease.

Shao-Jie Duan, Zhi-Ying Ren, Tao Zheng, Hong-Ye Peng, Zuo-Hu Niu, Hui Xia, Jia-Liang Chen, Yuan-Chen Zhou, Rong-Rui Wang, Shu-Kun Yao

Abstract read
In one paragraph

Article in World journal of gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 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

10 authors.

Shao-Jie DuanGraduate School, Beijing University of Chinese Medicine, Beijing 100029, China.
Zhi-Ying RenGraduate School, Beijing University of Chinese Medicine, Beijing 100029, China.
Tao ZhengGraduate School, Beijing University of Chinese Medicine, Beijing 100029, China.
Hong-Ye PengGraduate School, Beijing University of Chinese Medicine, Beijing 100029, China.
Zuo-Hu NiuGraduate School, Beijing University of Chinese Medicine, Beijing 100029, China.
Hui XiaGraduate School, Beijing University of Chinese Medicine, Beijing 100029, China.
Jia-Liang ChenCenter of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing 100015, China.
Yuan-Chen ZhouGraduate school, Peking University China-Japan Friendship School of Clinical Medicine, Beijing 100029, China.
Rong-Rui WangGraduate School, Beijing University of Chinese Medicine, Beijing 100029, China.
Shu-Kun YaoDepartment of Gastroenterology, China-Japan Friendship Hospital, Beijing 100029, China. shukunyao@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly identification of metabolic-associated fatty liver disease (MAFLD) is urgent. Atherogenic index of plasma (AIP) is a reference predictor of obesity-related diseases, but its predictive value for MAFLD remains unclear. No studies have reported whether its combination with waist circumference (WC) and body mass index (BMI) can improve the predictive performance for MAFLD.

aimTo systematically explore the relationship between AIP and MAFLD and evaluate its predictive value for MAFLD and to pioneer a novel noninvasive predictive model combining AIP, WC, and BMI while validating its predictive performance for MAFLD.

methodsThis cross-sectional study consecutively enrolled 864 participants. Multivariate logistic regression analysis and receiver operating characteristic curve were used to evaluate the relationship between AIP and MAFLD and its predictive power for MAFLD. The novel prediction model A-W-B combining AIP, WC, and BMI to predict MAFLD was established, and internal verification was completed by magnetic resonance imaging diagnosis.

resultsSubjects with higher AIP exhibited a significantly increased risk of MAFLD, with an odds ratio of 12.420 (6.008-25.675) for AIP after adjusting for various confounding factors. The area under receiver operating characteristic curve of the A-W-B model was 0.833 (0.807-0.858), which was significantly higher than that of AIP, WC, and BMI (all

conclusionAIP was strongly and positively associated with the risk of MAFLD and can be a reference predictor for MAFLD. The novel prediction model A-W-B combining AIP, WC, and BMI can significantly improve the predictive ability of MAFLD and provide better services for clinical prediction and screening of MAFLD.

Indexed as

Liver DiseasesProtonsBody Mass IndexCross-Sectional StudiesFemaleHumansMaleRisk FactorsROC CurveWaist CircumferenceProtonsAtherogenic index of plasmaMetabolic-associated fatty liver diseasePredictorReceiver operating characteristic curve

Identifiers

PMID36185625
PMCPMC9521515

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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.