Evidence map›Paper›PMID 34855105›Full record

ArticleHepatology international2022

Establishment and validation of a prognostic model for hepatitis B virus‑related acute-on-chronic liver failure patients with bacterial infection.

Zhongwei Zhang, Zhongyuan Yang, Qiuyu Cheng, Xue Hu, Meiqi Liu, Yunhui Liu, Tingting Liu, Ke Ma, Meng Zhang, Xiaoping Luo and 2 more

Abstract read
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In one paragraph

Article in Hepatology international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

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  15. [Expert consensus on diagnosis and treatment of end-stage liver disease complicated infection (2021 version)].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2022
    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

12 authors at 1 institution in 1 country.

Zhongwei ZhangDepartment and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095, Jiefang Avenue, Wuhan, 430030, Hubei, People's Republic of China.
Zhongyuan YangDepartment and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095, Jiefang Avenue, Wuhan, 430030, Hubei, People's Republic of China.
Qiuyu ChengDepartment and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095, Jiefang Avenue, Wuhan, 430030, Hubei, People's Republic of China.
Xue HuDepartment and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095, Jiefang Avenue, Wuhan, 430030, Hubei, People's Republic of China.
Meiqi LiuDepartment and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095, Jiefang Avenue, Wuhan, 430030, Hubei, People's Republic of China.
Yunhui LiuDepartment and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095, Jiefang Avenue, Wuhan, 430030, Hubei, People's Republic of China.
Tingting LiuDepartment and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095, Jiefang Avenue, Wuhan, 430030, Hubei, People's Republic of China.
Ke MaDepartment and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095, Jiefang Avenue, Wuhan, 430030, Hubei, People's Republic of China.
Meng ZhangDepartment and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095, Jiefang Avenue, Wuhan, 430030, Hubei, People's Republic of China.
Xiaoping LuoDepartment of Pediatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095, Jiefang Avenue, Wuhan, 430030, Hubei, People's Republic of China.
Tao ChenDepartment and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095, Jiefang Avenue, Wuhan, 430030, Hubei, People's Republic of China. chentao_tjh@vip.sina.com.
Qin NingDepartment and Institute of Infectious Disease, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095, Jiefang Avenue, Wuhan, 430030, Hubei, People's Republic of China. qning@vip.sina.com.ORCID http://orcid.org/0000-0002-2027-9593
Tongji Hospital · CN

Funding

National Thirteenth "Five Years" Project in Science and Technology of China 2017ZX10202201National Thirteenth "Five Years" Project in Science and Technology of China 2018ZX10302-206
6 · The paper itself

Abstract

backgroundBacterial infection is one of the most frequent complications in acute-on-chronic liver failure (ACLF), which leads to high mortality. However, a specific prognostic model for ACLF patients with bacterial infection has not been well established.

aimTo establish and validate a nomogram for predicting 30-day mortality of hepatitis B virus-related ACLF (HBV-ACLF) patients with bacterial infection.

methodsA total of 513 ACLF patients for HBV reactivation were enrolled in the prospective cohort, and 224 patients with bacterial infection were for derivation. Independent predictors were identified using multivariate logistic model and then assembled into a nomogram to predict 30-day mortality. The performance of the nomogram was assessed based on its calibration, discrimination and clinical utility in a retrospective cohort of 192 HBV-ACLF patients with bacterial infection.

resultsAge, total bilirubin, lactate dehydrogenase, international normalized ratio and soluble interleukin-2 receptor were shown to be independent risk factors for 30-day mortality of HBV-ACLF patients with bacterial infection and the nomogram was constructed. The nomogram showed a good calibration and discrimination in the derivation cohort, with an area under the receiver operating characteristic curve (AUC) of 0.883. Application of the nomogram in the validation cohort also showed a good calibration and discrimination, with the AUC of 0.852. Decision curve analysis confirmed the clinical utility of the nomogram.

conclusionThe nomogram was established and validated for predicting 30-day mortality of HBV-ACLF patients with bacterial infection, which may facilitate optimal therapeutic strategies to improve the prognosis of these patients.

Indexed as

Acute-On-Chronic Liver FailureBacterial InfectionsHepatitis B, ChronicHepatitis B virusHumansPrognosisProspective StudiesRetrospective StudiesROC CurveAcute-on-chronic liver failureAgeBacterial infectionBilirubinInternational normalized ratioLactate dehydrogenaseNomogramPrognosisRisk factorSoluble interleukin-2 receptor

Identifiers

PMID34855105
OpenAlexW3216894551

What OpenQuestion holds

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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.