ArticleFrontiers in genetics2022
A multiphase contrast-enhanced CT radiomics model for prediction of human epidermal growth factor receptor 2 status in advanced gastric cancer.
Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
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Who cites it
6 citing papers in PubMed.
- Biology before stage in advanced gastric cancer: converting to cure in biomarker-selected patients.Journal of gastrointestinal oncology · 2026Article
- Radiomics-based assessment of HER2 status and prognosis in gastric cancer: a retrospective dual-center CT study.Abdominal radiology (New York) · 2025Article
- Beyond Biomarkers: Machine Learning-Driven Multiomics for Personalized Medicine in Gastric Cancer.Journal of personalized medicine · 2025Review
- A radiomics-based interpretable machine learning model to predict the HER2 status in bladder cancer: a multicenter study.Insights into imaging · 2024Article
- Development of a deep learning model for early gastric cancer diagnosis using preoperative computed tomography images.Frontiers in oncology · 2023Article
- A machine learning-based radiomics model for prediction of tumor mutation burden in gastric cancer.Frontiers in genetics · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
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Abstract
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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.