Evidence map›Paper›PMID 27446539›Full record

ArticleBiomedical reports2016

Association of the serum uric acid level with liver histology in biopsy-proven non-alcoholic fatty liver disease.

Qian Huang, Jianhua Yu, Xiantu Zhang, Shourong Liu, Yanyan Ge

Open access · greenAbstract read
In one paragraph

Article in Biomedical reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

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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 2 institutions in 1 country.

Qian HuangDepartment of Hepatology, Hangzhou Xixi Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310023, P.R. China.
Jianhua YuDepartment of Infectious Disease, Hangzhou Xixi Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310023, P.R. China.
Xiantu ZhangDepartment of Pathology, Hangzhou Xixi Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310023, P.R. China.
Shourong LiuInstitute of Liver Disease, Hangzhou Xixi Hospital Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310023, P.R. China.
Yanyan GeDepartment of Internal Medicine, The Third People's Hospital of Hangzhou Affiliated to Zhejiang Chinese Medical University, Hangzhou, Zhejiang 310009, P.R. China.
Zhejiang Chinese Medical University · CNThe Third Affiliated Hospital of Zhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyperuricemia is significantly associated with and independently predicts the risk for non-alcoholic fatty liver disease (NAFLD). The aim of the present study was to examine the association of serum uric acid (SUA) levels with liver histology in patients with biopsy-proven NAFLD. Data were collected from 158 adults aged >18 years, and diagnosed with biopsy-proven NAFLD. The differences in liver histology were assessed between hyperuricemic and normal SUA groups with NAFLD to determine the possible risk factors. The SUA level was closely associated with the degree of steatosis (correlation coefficient 0.177, P=0.027). A higher proportion of patients with hyperuricemia showed increased severity of lobular inflammation (lobular inflammation score ≥2) compared with patients exhibiting normal SUA (75 vs. 52.7%; χ

Indexed as

histologyinflammationnon-alcoholic fatty liver diseaseuric acid

Identifiers

PMID27446539
PMCPMC4950169
OpenAlexW2413553842

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.