Evidence mapPaperPMID 29595690Full record

ArticleMedicine2018

A novel index including SNPs for the screening of nonalcoholic fatty liver disease among elder Chinese: A population-based study.

Huanhuan Yang, Guochong Chen, Chunli Song, Deming Li, Qinghua Ma, Guangliang Chen, Xinli Li

Abstract read
In one paragraph

Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 4 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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Huanhuan YangSchool of Public Health, Medical College of Soochow University Preventive Medicine Department, The Third People's Hospital of Xiangcheng District in Suzhou Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Soochow University, Suzhou, Jiangsu, PR China.
Guochong Chen
Chunli Song
Deming Li
Qinghua Ma
Guangliang Chen
Xinli Li

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Presently noninvasive methods were employed to the diagnosis of nonalcoholic fatty liver disease (NAFLD), including fatty liver index (FLI), hepatic steatosis index (HSI), product of fasting triglyceride and glucose levels (TyG), and single nucleotide polymorphism (SNP), whereas the accuracy of those indexes need to be improved. Our study aimed to investigate the feasibility of a new index comprehensive index (CI), consisting of 6 serum biomarkers and anthropometric parameters through multivariate logistic regression analysis, to the earlier detection of NAFLD, and the diagnostic value of 5 SNPs (S1: rs2854116 of apolipoprotein C3 [APOC3], S2: rs4149267 of ATP-binding cassette transporter [ABCA1], S3: rs13702 of lipoprotein lipase [LPL], S4: rs738409 of protein 3 [patatin-like phospholipase domain containing protein 3 (PNPLA3)], S5: rs780094 of glucokinase regulatory protein gene [GCKR]) for NAFLD were also explored. Area under the receiver operating characteristic curves (AUROC) and Youden index (YI) were calculated to assess the diagnostic value. The AUROC of CI was higher than FLI, HSI, and TyG (CI: 0.897, FLI: 0.873, HSI: 0.855, TyG: 0.793). Therefore, CI might be a better index for the diagnosis of NAFLD. Although there had no statistical significance (P = .123), the AUROC and YI were increased when CI combined with rs2854116 (S1) (AUROC = 0.902, YI = 0.6844). The combination of CI with S1 showed even better diagnostic accuracy than CI, which suggests the potential value of rs2854116 for the diagnosis of NAFLD.

Indexed as

AcyltransferasesAdaptor Proteins, Signal TransducingAgedApolipoprotein C-IIIAsian PeopleATP Binding Cassette Transporter 1BiomarkersBody Mass IndexBody Weights and MeasuresCross-Sectional StudiesGene FrequencyHumansLipaseLipoprotein LipaseMembrane ProteinsMiddle AgedABCA1 protein, humanAcyltransferasesAdaptor Proteins, Signal TransducingApolipoprotein C-IIIATP Binding Cassette Transporter 1BiomarkersGCKR protein, humanLipaseLipoprotein LipaseMembrane ProteinsPhospholipases A2, Calcium-IndependentPNPLA3 protein, human

Identifiers

PMID29595690
PMCPMC5895391

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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 Socratic graph.