Trial reportJournal of medical systems2011
A novel method for diagnosing cirrhosis in patients with chronic hepatitis B: artificial neural network approach.
Trial report in Journal of medical systems, 2011. 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.
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
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Application of artificial intelligence in chronic liver diseases: a systematic review and meta-analysis.BMC gastroenterology · 2021Pooled it
- Harnessing artificial intelligence for the assessment of liver fibrosis and steatosisWorld journal of gastroenterology · 2026Review
- Ultrasound and SWE-based transfer learning for predicting fibrotic NASH.Scientific reports · 2025Article
- Artificial Intelligence in Liver Diseases: Recent Advances.Advances in therapy · 2024Review
- Artificial intelligence in gastroenterology: A state-of-the-art review.World journal of gastroenterology · 2021Review
- Challenges and opportunities in the application of artificial intelligence in gastroenterology and hepatology.World journal of gastroenterology · 2021Review
- Developing and using expert systems and neural networks in medicine: a review on benefits and challenges.Journal of medical systems · 2014Review
- Predicting the outcomes of combination therapy in patients with chronic hepatitis C using artificial neural network.Hepatitis monthly · 2014Article
- A diagnostic model for cirrhosis in patients with non-alcoholic fatty liver disease: an artificial neural network approach.Medical journal of the Islamic Republic of Iran · 2014Article
- Performance evaluation of public non-profit hospitals using a BP artificial neural network: the case of Hubei Province in China.International journal of environmental research and public health · 2013Article
- Transmission risks of schistosomiasis japonica: extraction from back-propagation artificial neural network and logistic regression model.PLoS neglected tropical diseases · 2013Article
- Artificial neural network aided non-invasive grading evaluation of hepatic fibrosis by duplex ultrasonography.BMC medical informatics and decision making · 2012Article
- Designing a decision support system for distinguishing ADHD from similar children behavioral disorders.Journal of medical systems · 2012Article
- Artificial intelligence models for predicting iron deficiency anemia and iron serum level based on accessible laboratory data.Journal of medical systems · 2012Article
- Logistic regression model for prediction of airway reversibility using peak expiratory flow.Tanaffos · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We designed an artificial neural network (ANN) to diagnose cirrhosis in patients with chronic HBV infection. Routine laboratory data (PT, INR, platelet count, direct bilirubin, AST/ALT, AST/PLT) and age were collected from 144 patients. Cirrhosis in these patients was diagnosed by liver biopsy. The ANN's ability was assessed using receiver-operating characteristic (ROC) analysis and the results were compared with a logistic regression model. Our results indicate that the neural network analysis is likely to provide a non-invasive, accurate test for diagnosing cirrhosis in chronic HBV-infected patients, only based on routine laboratory data.
Indexed as
Identifiers
20703578What 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.