ReviewBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2026
[Bottlenecks and breakthroughs in gastric cancer diagnosis and treatment: Towards a new era of precision and intelligent integration].
Review in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 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
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
No grant is acknowledged in the PubMed record.
Abstract
Gastric cancer constitutes a significant global health burden, and its clinical management is undergoing a critical transition from a traditional experience-driven paradigm toward the deep integration of precision medicine and artificial intelligence (AI). At present, the main bottleneck has shifted from a lack of therapeutic options to insufficient capacity for precise clinical decision-making. In recent years, diagnostic approaches have seen marked advances through the application of AI-augmented endoscopy, radiomics, molecular subtyping, and liquid biopsy, reflecting progress in both precision and intelligence. Therapeutically, notable strides have been made in function-preserving strategies for early-stage disease, multimodal perioperative management for locally advanced cancer, and biomarker-guided stratified therapy for advanced gastric cancer. However, challenges persist, including low early-detection rates, inaccurate staging, difficulties in treatment personalization, and delayed assessment of therapeutic response. The future of gastric cancer care lies in the synergistic combination of precision medicine and AI technologies: leveraging multi-omics and other precision tools to delineate tumor biology, while deploying intelligent systems across the entire continuum from screening and diagnosis to treatment selection and follow-up. This integrated approach is key to establishing a more efficient clinical framework and ultimately improving patient survival outcomes.
Indexed as
Identifiers
41978388PMC13077313What Socratic 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 Socratic graph.