ReviewHepatology (Baltimore, Md.)2022
The digital transformation of hepatology: The patient is logged in.
Review in Hepatology (Baltimore, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
- Assessing Acceptance and Intention to Use of Home Telemonitoring Among Patients with Liver Cirrhosis: Development and Initial Psychometric Validation of a TAM-Based Questionnaire.Diagnostics (Basel, Switzerland) · 2026Article
- Artificial intelligence applications for managing metabolic dysfunction-associated steatotic liver disease: Current status and future prospects.World journal of gastroenterology · 2025Review
- Review
- Review
- Leveraging machine learning for precision medicine: a predictive model for cognitive impairment in cholestasis patients.BMC gastroenterology · 2025Article
- Gut Microbiome-Liver-Brain axis in Alcohol Use Disorder. The role of gut dysbiosis and stress in alcohol-related cognitive impairment progression: possible therapeutic approaches.Neurobiology of stress · 2025Article
- Telemedicine in the tertiary liver unit: A feasibility study.Clinical and experimental hepatology · 2024Article
- Hospital-Level Care at Home for Patients with Cirrhosis.Digestive diseases and sciences · 2024Article
- Telehepatology Satisfaction Is Associated with Ethnicity: The Real-World Experience of a Vulnerable Population with Fatty Liver Disease.Digestive diseases and sciences · 2024Article
- Update in the Treatment of the Complications of Cirrhosis.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2023Review
- A novel smartphone scleral-image based tool for assessing jaundice in decompensated cirrhosis patients.Journal of gastroenterology and hepatology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
The rise in innovative digital health technologies has led a paradigm shift in health care toward personalized, patient-centric medicine that is reaching beyond traditional brick-and-mortar facilities into patients' homes and everyday lives. Digital solutions can monitor and detect early changes in physiological data, predict disease progression and health-related outcomes based on individual risk factors, and manage disease intervention with a range of accessible telemedicine and mobile health options. In this review, we discuss the unique transformation underway in the care of patients with liver disease, specifically examining the digital transformation of diagnostics, prediction and clinical decision-making, and management. Additionally, we discuss the general considerations needed to confirm validity and oversight of new technologies, usability and acceptability of digital solutions, and equity and inclusivity of vulnerable populations.
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.