ReviewJournal of multidisciplinary healthcare2026
A Multidisciplinary, Digitally-Integrated Life-Cycle Management Model for Early Gastrointestinal Cancer: Enhancing Care Coordination and Continuity.
Review in Journal of multidisciplinary healthcare, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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0 citing papers in PubMed.
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: To describe a multidisciplinary, digitally integrated life-cycle management framework for early gastrointestinal (GI) cancer and present its development and preliminary implementation experience within a high-volume tertiary center. Methods: This narrative review synthesizes published evidence, clinical guidelines, policy documents, and preliminary institutional implementation experience related to multidisciplinary coordination, digital infrastructure, risk stratification, and longitudinal follow-up. Results: The proposed framework integrates AI-driven risk stratification, standardized endoscopic treatment, follow-up and data-driven monitoring through a coordinated Physician-Nurse-Administrator team and a "One-System, Three-Platforms" infrastructure. Preliminary implementation experience from colorectal polyp management suggested improved operational indicators, including patient preparation, follow-up continuity, resource utilization, and satisfaction. Conclusion: This framework offers a practical approach to coordinating screening, treatment, and longitudinal follow-up in early GI cancer care. Its clinical effectiveness, long-term impact, and scalability require prospective multicenter evaluation.
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