Evidence map›Paper›PMID 32914901›Full record

ArticleJournal of clinical laboratory analysis2020

Ammonia predicts poor outcomes in patients with hepatitis B virus-related acute-on-chronic liver failure.

JinFei Zhang, XiaoLu Liu, Bo Ye, Hui Chen

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 4 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

4 authors at 2 institutions in 1 country.

JinFei ZhangDepartment of Clinical Laboratory, Shengzhou People's Hospital, Shengzhou Branch of the First Affiliated Hospital of Zhejiang University, Shengzhou, China.
XiaoLu LiuDepartment of Clinical Laboratory, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China.
Bo YeDepartment of Clinical Laboratory, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China.
Hui ChenDepartment of Clinical Laboratory, College of Medicine, The First Affiliated Hospital, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0002-8572-2445
First Affiliated Hospital Zhejiang University · CNSheng Jing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHepatic encephalopathy (HE) is a common feature of acute liver failure and has been reported to be associated with poor outcomes. Ammonia is thought to be central to the pathogenesis of HE, but its role in hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) is unclear. The present study aimed to assess the prognostic role of ammonia level for patients with HBV-ACLF.

methodsWe retrospectively recruited 127 patients diagnosed with HBV-ACLF for the present study.

resultsAmmonia levels at the time of admission were higher among non-surviving participants than in survivors. Increased ammonia level was found to be associated with severe liver disease and was identified as an independent predictor for mortality in patients with HBV-ACLF.

conclusionsOur results suggest that high ammonia level at admission is an independent factor for predicting short-term mortality in patients with HBV-ACLF. Therefore, ammonia levels may represent a therapeutic target for this condition.

Indexed as

Acute-On-Chronic Liver FailureHepatitis BAdultAmmoniaFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesAmmoniaacute-on-chronic liver failureammoniaHepatitis B virusmortality

Identifiers

PMID32914901
PMCPMC7755815
OpenAlexW3086709989

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.