ReviewThe EPMA journal2014
Model-guided therapy for hepatocellular carcinoma: a role for information technology in predictive, preventive and personalized medicine.
Review in The EPMA journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Empirical study on psychosocial factors in liver cancer treatment: implications for medical student education in shared decision-making.Frontiers in public health · 2026Article
- A methodological framework for integrating model-guided medicine and multidimensional information management systems: application in anti-aging healthcare.International journal of computer assisted radiology and surgery · 2025Article
- PRMT5 Mediated HIF1α Signaling and Ras-Related Nuclear Protein as Promising Biomarker in Hepatocellular Carcinoma.Biology · 2024Article
- Applying digital technology to promote active and healthy confinement lifestyle during pandemics in the elderly.Biology of sport · 2021Review
- Development of a membrane lipid metabolism-based signature to predict overall survival for personalized medicine in ccRCC patients.The EPMA journal · 2019Article
- The Ethanol Supernatant Extracts of Liushenwan Could Alleviate Nanodiethylnitrosamine-Induced Liver Cancer in Mice.Canadian journal of gastroenterology & hepatology · 2018Article
- The status of transarterial chemoembolization treatment in the era of precision oncology.Hepatic oncology · 2017Review
- Article
- Article
- Medicine in the early twenty-first century: paradigm and anticipation - EPMA position paper 2016.The EPMA journal · 2016Review
- The involvement of cell surface nucleolin in the initiation of CCR6 signaling in human hepatocellular carcinoma.Medical oncology (Northwood, London, England) · 2015Article
- EPMA position paper in cancer: current overview and future perspectives.The EPMA journal · 2015Article
- Model-guided therapy for hepatocellular carcinoma: a role for information technology in predictive, preventive and personalized medicine.The EPMA journal · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Predictive, preventive and personalized medicine (PPPM) may have the potential to eventually improve the nature of health care delivery. However, the tools required for a practical and comprehensive form of PPPM that is capable of handling the vast amounts of medical information that is currently available are currently lacking. This article reviews a rationale and method for combining and integrating diagnostic and therapeutic management with information technology (IT), in a manner that supports patients through their continuum of care. It is imperative that any program devised to explore and develop personalized health care delivery must be firmly rooted in clinically confirmed and accepted principles and technologies. Therefore, a use case, relating to hepatocellular carcinoma (HCC), was developed. The approach to the management of medical information we have taken is based on model theory and seeks to implement a form of model-guided therapy (MGT) that can be used as a decision support system in the treatment of patients with HCC. The IT structures to be utilized in MGT include a therapy imaging and model management system (TIMMS) and a digital patient model (DPM). The system that we propose will utilize patient modeling techniques to generate valid DPMs (which factor in age, physiologic condition, disease and co-morbidities, genetics, biomarkers and responses to previous treatments). We may, then, be able to develop a statistically valid methodology, on an individual basis, to predict certain diseases or conditions, to predict certain treatment outcomes, to prevent certain diseases or complications and to develop treatment regimens that are personalized for that particular patient. An IT system for predictive, preventive and personalized medicine (ITS-PM) for HCC is presented to provide a comprehensive system to provide unified access to general medical and patient-specific information for medical researchers and health care providers from different disciplines including hepatologists, gastroenterologists, medical and surgical oncologists, liver transplant teams, interventional radiologists and radiation oncologists. The article concludes with a review providing an outlook and recommendations for the application of MGT to enhance the medical management of HCC through PPPM.
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.