Evidence map›Paper›PMID 37231905›Full record

ArticleObesity facts2023

Clinical Features of Non-Alcoholic Fatty Liver Disease in the Non-Lean Population.

Min-Ran Li, Jin-Zhong Li, Jie-Ying Li, Cun-Chuan Wang, Rui-Kun Yuan, Li-Hong Ye, Yun-Yan Liu, Xu-Jing Liang, Hai-Cong Zhang, Zhi-Quan Liu and 12 more

Open access · goldAbstract read
In one paragraph

Article in Obesity facts, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
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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

22 authors at 4 institutions in 1 country.

Min-Ran LiDivision of Infectious Disease, The First Affiliated Hospital of Jinan University, Guangzhou, China, muziran@126.com.
Jin-Zhong LiDivision of Infectious Disease, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Jie-Ying LiDivision of Infectious Disease, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Cun-Chuan WangBariatric and Metabolic Surgery Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Rui-Kun YuanDivision of Infectious Disease, The Sixth Affiliated Hospital of Jinan University, Dongguan, China.
Li-Hong YeDivision of Pathology, The Fifth Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, China.
Yun-Yan LiuDivision of Liver Disease, The Fifth Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, China.
Xu-Jing LiangDivision of Infectious Disease, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Hai-Cong ZhangDivision of Pathology, The Fifth Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, China.
Zhi-Quan LiuDivision of Pathology, The Fifth Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, China.
Dong-Yu ZengDivision of Infectious Disease, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Xue-Dong ZhangAutobio Diagnostics Co., Ltd, Zhengzhou City, China.
De-Hua WangDivision of Liver Disease, The Fifth Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, China.
Jun-Qing LiDivision of Liver Disease, The Fifth Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, China.
Tao-Yuan LiDivision of Infectious Disease, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Liu YangDivision of Infectious Disease, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Yang CaoDivision of Infectious Disease, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Yun PanDivision of Infectious Disease, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Xun-Ge LinDivision of Infectious Disease, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Calvin Q PanDepartment of Infectious Disease, The Fifth Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Er-Hei DaiDivision of Liver Disease, The Fifth Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, China.
Zhi-Yong DongBariatric and Metabolic Surgery Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.
First Affiliated Hospital of Jinan University · CNFifth Hospital of Shijiazhuang · CNHebei Medical University · CNGuangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe prevalence of non-alcoholic fatty liver disease (NAFLD) in non-lean patients is significantly increased, and obesity significantly increases the risk of cirrhosis and HCC in NAFLD patients. However, whether there is a difference in clinical manifestations of NAFLD between overweight and obesity remains unclear. The objective of this study was to assess the clinical and histological features of NAFLD among a non-lean population.

methodsCurrent study enrolled consecutive non-lean (body mass index [BMI] >23 kg/m2) patients with NAFLD and available liver biopsy results. Patients were stratified by BMI into two groups for the comparison of their clinical and histological variables, which included the overweight (BMI 23∼<28 kg/m2) and the obese (BMI ≥28 kg/m2). Risk factors for moderate to severe fibrosis (stage >1) were also analyzed through the logistic regression model.

resultsAmong 184 non-lean patients with metabolic-associated fatty liver disease enrolled, 65 and 119 were overweight and obese, respectively. Patients in the obesity group had a significantly lower level of gamma-glutamyl transpeptidase, higher levels of platelet, glucose, prothrombin time, and more common of moderate to severe inflammatory activity when compared to those in the overweight group. However, a significant low frequency of moderate to severe fibrosis was found in the obesity group versus the overweight group (19.33% vs. 40.00%, p = 0.002). Binary logistics regression analysis of fibrosis found that aspartate transaminase (AST), BMI, alanine transaminase (ALT), and cholesterol (CHOL) were independent predictors for moderate to severe fibrosis in non-lean patients with NAFLD. Compared with the traditional fibrosis-4 (AUC = 0.77) and aminotransferase to platelet ratio index (AUC = 0.79) indexes, the combined index based on AST, BMI, ALT, and CHOL was more accurate in predicting moderate to severe fibrosis in non-lean patients with NAFLD (AUC = 0.87).

conclusionsClinical and histological features differed between obesity and overweight patients with NAFLD. When compared to the traditional serum markers, the combination index including AST, BMI, ALT, and CHOL provided a better model to predict moderate to severe fibrosis in non-lean patients with NAFLD.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsNon-alcoholic Fatty Liver DiseaseBody Mass IndexFibrosisHumansLiver CirrhosisObesityOverweightFibrosisNon-alcoholic fatty liver diseaseObeseOverweight

Identifiers

PMID37231905
PMCPMC10601616
OpenAlexW4378348210

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.