Evidence map›Paper›PMID 31010457›Full record

ReviewGene expression2019

Nonalcoholic Fatty Liver Disease: An Update on the Diagnosis.

Jia-Zhen Zhang, Jing-Jing Cai, Yao Yu, Zhi-Gang She, Hongliang Li

Abstract readReview
In one paragraph

Review in Gene expression, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
1.9field-weighted citation impact, top 14% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.

  1. Pooled it
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  12. A Survey Assessing Nonalcoholic Fatty Liver Disease Knowledge Among Hepatologists and Non-Hepatologists in China.JGH open : an open access journal of gastroenterology and hepatology · 2024
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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

5 authors at 3 institutions in 1 country.

Jia-Zhen ZhangDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, P.R. China.
Jing-Jing CaiDepartment of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, P.R. China.
Yao YuInstitute of Model Animals of Wuhan University, Wuhan, P.R. China.
Zhi-Gang SheDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, P.R. China.
Hongliang LiDepartment of Cardiology, Renmin Hospital of Wuhan University, Wuhan, P.R. China.
Wuhan University · CNRenmin Hospital of Wuhan University · CNThird Xiangya Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonalcoholic fatty liver disease (NAFLD) is a common liver disease and a major cause of related complications such as cirrhosis and hepatocellular carcinoma (HCC). NAFLD progresses through the stages of simple steatosis, nonalcoholic steatohepatitis (NASH), fibrosis, cirrhosis, and HCC. However, NAFLD usually cannot be diagnosed in a timely manner, which is largely attributed to the asymptomatic features of NAFLD patients and the lack of an effective and accurate noninvasive screening approach. Although liver biopsy has been recognized as a gold standard for diagnosing NAFLD, this approach is not suitable for screening and monitoring NAFLD because of its high cost and invasiveness. Several noninvasive screening and diagnostic systemic assessments have been developed in recent years for NAFLD evaluation. Here we summarize the current status and methods for NAFLD diagnosis, including both noninvasive (imaging, biomarkers) and invasive (liver biopsy) assessments. We further discuss the advantages and disadvantages of these developed diagnostic approaches for NAFLD.

Indexed as

BiomarkersHumansLiverNon-alcoholic Fatty Liver DiseasePractice Guidelines as TopicBiomarkers

Identifiers

PMID31010457
PMCPMC6827037
OpenAlexW2941258269

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.