Evidence map›Paper›PMID 32139603›Full record

ArticleBMJ open diabetes research & care2020

Combined and sequential non-invasive approach to diagnosing non-alcoholic steatohepatitis in patients with non-alcoholic fatty liver disease and persistently normal alanine aminotransferase levels.

Kenneth I Zheng, Wen-Yue Liu, Xiao-Yan Pan, Hong-Lei Ma, Pei-Wu Zhu, Xi-Xi Wu, Giovanni Targher, Christopher Byrne, Xiao-Dong Wang, Yong-Ping Chen and 2 more

Abstract read
In one paragraph

Article in BMJ open diabetes research & care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  15. [Clinical application of serum Golgi protein 73 in patients with chronic liver diseases].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2022
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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

12 authors.

Kenneth I ZhengNAFLD Research Center, Department of Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.ORCID 0000-0002-1726-9298
Wen-Yue LiuDepartment of Endocrinology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Xiao-Yan PanDepartment of Endocrinology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Hong-Lei MaNAFLD Research Center, Department of Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Pei-Wu ZhuDepartment of Laboratory Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Xi-Xi WuDepartment of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Giovanni TargherDivision of Endocrinology and Metabolism, University of Verona, Ospedale Civile Maggiore, Verona, Italy.ORCID 0000-0002-4325-3900
Christopher ByrneSouthampton National Institute for Health Research Biomedical Research Centre, University Hospital Southampton, Southampton General Hospital, Southampton, UK.
Xiao-Dong WangNAFLD Research Center, Department of Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Yong-Ping ChenNAFLD Research Center, Department of Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Fengmin LuDepartment of Microbiology and Infectious Disease Center, School of Basic Medicine, Peking University Health Science Center, Beijing, China zhengmh@wmu.edu.cn lu.fengmin@bjmu.edu.cn.
Ming-Hua ZhengNAFLD Research Center, Department of Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China zhengmh@wmu.edu.cn lu.fengmin@bjmu.edu.cn.ORCID 0000-0003-4984-2631

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimImaging-confirmed non-alcoholic fatty liver disease (NAFLD) with normal alanine aminotransferase (nALT) levels is infrequently the subject for further evaluation. Early diagnosis of non-alcoholic steatohepatitis (NASH) is needed to prevent disease progression. Thus, we tested the clinical utility of serum Golgi protein 73 (GP73) levels and developed a new non-invasive score to diagnose NASH in patients with biopsy-confirmed NAFLD and persistent nALT levels.

methodsSerum GP73 and cytokeratin-18 M30 fragments (CK18-M30) levels were measured in 345 patients with biopsy-proven NAFLD. We developed a new score, named G-NASH model (by incorporating serum GP73), and combined it with serum CK18-M30 measurement in a sequential non-invasive approach to accurately identify NASH among patients with NAFLD and persistent nALT levels.

results105 (30.4%) patients had persistent nALT, 53 of whom had histologically confirmed NASH. Both serum GP73 and CK18-M30 levels alone had poor diagnostic accuracy in identifying NASH (55.2% and 51.6%, respectively) in these patients. Conversely, G-NASH model performed better than other established non-invasive scoring systems, and by using our proposed sequential non-invasive approach 82.9% of patients with NASH were correctly identified.

conclusionsNASH is highly prevalent in patients with NAFLD with persistent nALT levels. The G-NASH model accurately identifies NASH in this patient group.

Indexed as

AdultAlanine TransaminaseBiomarkersFemaleHumansKeratin-18MaleMembrane ProteinsMiddle AgedNon-alcoholic Fatty Liver DiseaseSensitivity and SpecificityAlanine TransaminaseBiomarkersGOLM1 protein, humanKeratin-18Membrane Proteinsdiagnosisliver diseaseNAFLDnonalcoholic steatohepatitis

Identifiers

PMID32139603
PMCPMC7059499

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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.