ArticleOncotarget2015
Conditional survival estimate of acute-on-chronic hepatitis B liver failure: a dynamic prediction based on a multicenter cohort.
Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Clinical performance of stem cell therapy in patients with acute-on-chronic liver failure: a systematic review and meta-analysis.Journal of translational medicine · 2018Pooled it
- Predicting prognosis of patients with hepatitis B virus-related acute-on-chronic liver failure from longitudinal ultrasound images using a multi-task deep learning approach.Annals of medicine · 2025Article
- Risk Factors of Chronic Kidney Disease in Chronic Hepatitis B: A Hospital-based Case-control Study from China.Journal of clinical and translational hepatology · 2022Article
- Impact of compensated cirrhosis on survival in patients with acute-on-chronic liver failure.Hepatology international · 2022Article
- Predictors of early mortality among patients with acute-on-chronic liver failure.JGH open : an open access journal of gastroenterology and hepatology · 2021Article
- Conditional survival analysis of hepatocellular carcinoma.Journal of surgical oncology · 2020Article
- Conditional Survival Estimates Improve Over Time for Patients with Hepatocellular Carcinoma: An Analysis for Nationwide Korea Cancer Registry Database.Cancer research and treatment · 2019Article
- Identification of key candidate genes and pathways in hepatitis B virus-associated acute liver failure by bioinformatical analysis.Medicine · 2018Article
- Prognostic nomogram for acute-on-chronic hepatitis B liver failure.Oncotarget · 2017Article
- Liver failure determines the outcome in patients of acute-on-chronic liver failure (ACLF): comparison of APASL ACLF research consortium (AARC) and CLIF-SOFA models.Hepatology international · 2017Article
- Conditional disease-free survival after liver transplantation for hepatocellular carcinoma: A two-center experience.Medicine · 2016Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesCounseling patients with acute-on-chronic hepatitis B liver failure (ACHBLF) on their individual risk of short-term mortality is challenging. This study aimed to develop a conditional survival estimate (CSE) for predicting individualized mortality risk in ACHBLF patients.
methodsWe performed a large prospective cohort study of 278 ACHBLF patients from December 2010 to December 2013 at three participating medical centers. The Kaplan-Meier method was used to calculate the cumulative overall survival (OS). Cox proportional hazard regression models were used to analyze the risk factors associated with OS. 4-week CSE at "X" week after diagnostic established were calculated as CS4 = OS(X+4)/OS(X).
resultsThe actual OS at 2, 4, 6, 8, 12 weeks were 80.5%, 71.8%, 69.3%, 66.0% and 63.7%, respectively. Using CSE, the probability of surviving an additional 4 weeks, given that the patient had survived for 1, 3, 5, 7, 9 weeks was 74%, 86%, 92%, 93%, 97%, respectively. Patients with worse prognostic feathers, including MELD > 25, Child grade C, age > 45, HE, INR > 2.5, demonstrated the greatest increase in CSE over time, when compared with the "favorable" one (Δ36% vs. Δ10%; Δ28% vs. Δ16%; Δ29% vs. Δ15%; Δ60% vs. Δ12%; Δ33% vs. Δ12%; all P < 0.001; respectively).
conclusionsThis easy-to-use CSE can accurately predict the changing probability of survival over time. It may facilitate risk communication between patients and physicians.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.