Evidence map›Paper›PMID 33520734›Full record

ArticleFrontiers in cellular and infection microbiology2020

Prognostic Significance of End-Stage Liver Diseases, Respiratory Tract Infection, and Chronic Kidney Diseases in Symptomatic Acute Hepatitis E.

Huahao Fan, Junfen Fan, Suming Chen, Yangzhen Chen, Huiru Gao, Liying Shan, Xue Li, Fengjun Gu, Hui Zhuang, Lijun Sun

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Treatment of Hepatitis E.Advances in experimental medicine and biology · 2023
    Article
  7. Co-infection of hepatitis E virus,Frontiers in cellular and infection microbiology · 2023
    Article
  8. Article
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

10 authors at 4 institutions in 1 country.

Huahao FanCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.
Junfen FanInstitute of Cerebrovascular Disease Research and Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.
Suming ChenThe Medical Center of Clinical Laboratory, Beijing 302 Hospital/The Fifth Medical Center of PLA General Hospital, Beijing, China.
Yangzhen ChenCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China.
Huiru GaoThe Medical Center of Clinical Laboratory, Beijing 302 Hospital/The Fifth Medical Center of PLA General Hospital, Beijing, China.
Liying ShanThe Medical Center of Clinical Laboratory, Beijing 302 Hospital/The Fifth Medical Center of PLA General Hospital, Beijing, China.
Xue LiThe Medical Center of Clinical Laboratory, Beijing 302 Hospital/The Fifth Medical Center of PLA General Hospital, Beijing, China.
Fengjun GuMedical Information Center, Beijing 302 Hospital/The Fifth Medical Center of PLA General Hospital, Beijing, China.
Hui ZhuangDepartment of Microbiology and Infectious Disease Center, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
Lijun SunResearch Center for Clinical and Translational Medicine, Beijing 302 Hospital/The Fifth Medical Center of PLA General Hospital, Beijing, China.
302 Military Hospital of China · CNBeijing University of Chemical Technology · CNCapital Medical University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Symptomatic hepatitis E virus (HEV) infection is sporadic, and usually occurs in a limited number of infected patients, which hinders the investigation of risk factors for clinical outcomes in patients with acute HEV infection. A retrospective cohort study enrolling 1913 patients with symptomatic acute hepatitis E in Beijing 302 Hospital from January 1, 2001 to December 31, 2018 was conducted. The baseline characteristics, clinical features and laboratory data of these HEV infection cases were analyzed. Albumin (ALB), platelet (PLT), alanine aminotransferase (ALT), total bilirubin (T-BiL), international normalized ratio (INR) and serum creatinine (SCR) levels, along with the model for end-stage liver disease (MELD) score, hospitalization days, co-morbidity number and mortality were taken as major parameters for comparing the clinical manifestations in our study. We found that not all pre-existing chronic liver diseases exacerbate clinical manifestations of acute hepatitis E. Alcoholic hepatitis, fatty liver hepatitis, hepatic cyst, drug-induced hepatitis and hepatocellular carcinoma were not significantly associated with mortality of HEV patients. Among all of the comorbidities, end-stage liver diseases (ESLDs, including ascites, cirrhosis, hepatic coma and hepatorenal syndrome), respiratory tract infection and chronic kidney diseases (CKDs, including renal insufficiency and renal failure) were found to remarkably increase the mortality of patients with symptomatic HEV infection. Furthermore, the severity evaluation indexes (SEI), such as MELD score, duration of hospital stay, and co-morbidity number in HEV patients with underlying comorbidities were much worse than that of their counterparts without relevant comorbidities.

Indexed as

End Stage Liver DiseaseHepatitis ERenal Insufficiency, ChronicRespiratory Tract InfectionsHumansPrognosisRetrospective StudiesSeverity of Illness Indexchronic kidney diseasesclinical outcomeend-stage liver diseasesprognostic significancerespiratory tract infectionsymptomatic HEV infection

Identifiers

PMID33520734
PMCPMC7843426
OpenAlexW3121032461

What OpenQuestion holds

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LicenceCC BY
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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.