Evidence map›Paper›PMID 31769901›Full record

ArticleJournal of clinical apheresis2020

A prognostic model for hepatitis B acute-on-chronic liver failure patients treated using a plasma exchange-centered liver support system.

Zhongyang Xie, Laurencia Violetta, Ermei Chen, Kaizhou Huang, Daxian Wu, Xiaowei Xu, Xiaoxi Ouyang, Yalei Zhao, Lanjuan Li

Open access · hybridAbstract read
In one paragraph

Article in Journal of clinical apheresis, 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
0.7field-weighted citation impact, top 29% 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, 13 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

9 authors at 3 institutions in 1 country.

Zhongyang XieState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Laurencia ViolettaState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Ermei ChenState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Kaizhou HuangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Daxian WuState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Xiaowei XuCollaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Zhejiang University, Hangzhou, China.
Xiaoxi OuyangState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Yalei ZhaoState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Lanjuan LiState Key Laboratory for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
State Key Laboratory of Diagnosis and Treatment of Infectious DiseasesFirst Affiliated Hospital Zhejiang University · CNZhejiang University · CN

Funding

Key research and development project of Department of Science and Technology of Zhejiang Province 2017C03051Science Fund for Creative Research Groups of the National Natural Science Foundation of China 81721091
6 · The paper itself

Abstract

aimTo determine the prognostic risk factors of patients with hepatitis B virus related acute-on-chronic liver failure (HBV-ACLF) treated with plasma exchange (PE)-based artificial liver support system (ALSS), and create a prognostic predictive model.

methodsA total of 304 HBV-ACLF patients who received PE-based ALSS were retrospectively analyzed. Potential prognostic factors on admission associated with survival were investigated. Of note, 101 additional patients were analyzed to validate the performance of the prognostic models.

resultsAccording to 28-day survival, a total of 207 patients who survived and 97 non-survivors were identified in the derivation group. Overall, 268 (88.2%) ACLF cases were caused by reactivation of HBV. Cox proportional hazards regression model revealed that age, total bilirubin, ln (alpha-fetoprotein [AFP]), encephalopathy (HE) score, sodium level, and international normalized ratio (INR) were independent risk factors of short-term prognosis. We built a model named ALSS-prognosis model (APM) to predict the 28-day survival of HBV-ACLF patients with ALSS; the model APM showed potentially better predictive performance for both the derivation and validation groups than MELD, MELD-Na, and CLIF-C ACLF score.

conclusionsLow AFP was found to be an independent risk factor for high mortality in HBV-ACLF patients treated with PE-based ALSS. We generated a new model containing AFP, namely APM, which showed potentially better prediction performance than MELD, MELD-Na, and CLIF-C ACLF score for short-term outcomes, and could aid physicians in making optimal therapeutic decisions.

Indexed as

Acute-On-Chronic Liver FailureAdultArea Under CurveFemaleHepatitis BHospitalizationHumansLiverMaleMiddle AgedPlasma ExchangePredictive Value of TestsPrognosisProportional Hazards ModelsRetrospective StudiesRisk FactorsAFPALSSHBV-ACLFplasma exchange

Identifiers

PMID31769901
PMCPMC7217207
OpenAlexW2991257054

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.