Evidence map›Paper›PMID 37152403›Full record

ArticleInfection and drug resistance2023

Prealbumin as a Predictor of Short-Term Prognosis in Patients with HBV-Related Acute-on-Chronic Liver Failure.

Hao Zhang, Kai Yang, Qin Wang, Lei Jin, Ling-Mei Wang, Xing-Yu Fan, Xiu Wang, Qiang Zhou, Yuan-Hong Xu

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2023. 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
1.9field-weighted citation impact, top 13% 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, 9 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 1 institution in 1 country.

Hao ZhangDepartment of Clinical Laboratory, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, People's Republic of China.
Kai YangDepartment of Medical Technology, Anhui Medical College, Hefei, Anhui, 230601, People's Republic of China.
Qin WangDepartment of Clinical Laboratory, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230601, People's Republic of China.ORCID 0000-0001-6961-6768
Lei JinDepartment of Infectious Diseases, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230601, People's Republic of China.
Ling-Mei WangDepartment of Clinical Laboratory, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230601, People's Republic of China.
Xing-Yu FanDepartment of Clinical Laboratory, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230601, People's Republic of China.
Xiu WangDepartment of Clinical Laboratory, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230601, People's Republic of China.
Qiang ZhouDepartment of Clinical Laboratory, Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230601, People's Republic of China.
Yuan-Hong XuDepartment of Clinical Laboratory, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, 230022, People's Republic of China.
Anhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) is a serious medical condition with a high short-term mortality rate, making accurate prognostic assessment essential for informed clinical decision-making. In this study, we aimed to develop a simple and effective prognostic model for predicting short-term mortality in patients with HBV-ACLF. Patients and Methods: To achieve our objective, we enrolled both a cross-sectional cohort (n = 291) and a retrospective cohort (n = 185) in this study. We collected laboratory and clinical data from these cohorts and performed univariate and multivariate logistic regression analyses to identify independent predictors of short-term mortality. Subsequently, we developed a novel prognostic score for HBV-ACLF, which was validated and assessed using receiver operating characteristic (ROC) curve analysis to determine its performance. Results: Our analysis revealed that the admission prealbumin (PAB) level was a robust independent predictor of 30-day mortality, with an area under the receiver operating characteristic (AUROC) of 0.760. Moreover, we developed the HIAPP score, a prognostic-score model based on PAB. The HIAPP score was significantly lower in survivors compared to non-survivors (-2.80±0.21 vs 0.97±0.41, P < 0.001). The HIAPP score's AUROC value was 0.899, which was found to be superior to the MELD score (AUROC = 0.795) and the CLIF-C ACLF score (AUC =0.781) and comparable to the COSSH-ACLF II score (AUC =0.825) for predicting 30-day mortality. These findings were also validated in a separate cohort, further supporting the utility of the HIAPP score as a prognostic tool for HBV-ACLF patients. Conclusion: Our study identifies the admission PAB level as a simple and valuable predictive index for 30-day mortality in HBV-ACLF patients. Furthermore, the HIAPP score, which incorporates PAB, PLT, INR, HE, and age, is an easy-to-use and pragmatic prognostic score in predicting short-term mortality.

Indexed as

hepatitis B virus related acute on chronic liver failureprealbuminprognostic modelshort term prognosis

Identifiers

PMID37152403
PMCPMC10162102
OpenAlexW4367557700

What OpenQuestion holds

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LicenceCC BY-NC
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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.