Evidence map›Paper›PMID 37152940›Full record

ArticleFrontiers in endocrinology2023

Comparison between traditional and new obesity measurement index for screening metabolic associated fatty liver disease.

Hongyan Wang, Yuxue Zhang, Yupeng Liu, Hui Li, Ruiling Xu, Hongmei Fu, Chaoqi Yan, Bo Qu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 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

14 citing papers in PubMed, 2 syntheses or guidelines 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.

Hongyan WangDepartment of International Physical Examination and Health Center, Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Yuxue ZhangDepartment of Hygiene Microbiology, School of Public Health, Harbin Medical University, Harbin, China.
Yupeng LiuDepartment of Epidemiology and Health Statistics, Institute for Public Health and Management of Wenzhou Medical University, Wenzhou, China.
Hui LiDepartment of Gastroenterology, Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Ruiling XuDepartment of Gastroenterology, Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Hongmei FuDepartment of International Physical Examination and Health Center, Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Chaoqi YanDepartment of International Physical Examination and Health Center, Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Bo QuDepartment of Gastroenterology, Second Affiliated Hospital of Harbin Medical University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Obesity measurement indexes have certain screening value for metabolic diseases. To investigate associations between metabolic associated fatty liver disease (MAFLD) and obesity measurement indexes, including traditional indexes (BMI, WC, WHtR) and new indexes (ABSI, BRI, VAI, LAP), and assess their screening ability. Methods: 12,658 subjects aged 18-75 at the Health Center of a Class III Grade A Hospital were included, who were divided into MAFLD and non-MAFLD groups. Spearman's rank correlation was used to study the correlation between MAFLD and obesity measurement indexes. Receiver operating characteristic (ROC) curves were used to calculate the area under the curve (AUC) to evaluate their screening accuracy. Results: MAFLD had strong correlation with traditional BMI and new index LAP. ROC analysis showed that BMI had the highest AUC (0.89), followed by LAP (0.87). Stratification by BMI, LAP had the highest AUC (0.90) for MAFLD in population without obesity (BMI< 23kg/m Conclusions: We proposed a two-step screening strategy for MAFLD, combining BMI and LAP, and defined a high-risk population for MAFLD as follows: 1) BMI ≥ 23 kg/m

Indexed as

Metabolic SyndromeNon-alcoholic Fatty Liver DiseaseBody Mass IndexHumansObesityWaist Circumferencebody mass indexlipid accumulation productMAFLDobesity measurement indexscreening abilityscreening strategy

Identifiers

PMID37152940
PMCPMC10160459

What OpenQuestion holds

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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.