Predicting Pancreatic Cancer in New‐Onset Diabetes Cohort Using a Novel Model With Integrated Clinical and Genetic Indicators: A Large‐Scale Prospective Cohort Study
We, for the first time, combined clinical and genetic data to develop and validate a model to determine the risk of pancreatic cancer in patients with new-onset diabetes using machine learning algorithms. By reducing the number of unnecessary tests while ensuring that a substantial proportion of high-risk patients are identified, this tool has the potential to improve patient outcomes and optimize healthcare sources.
Authors
- Yulian Wu (ORCID: https://orcid.org/0000-0002-4090-0551)
- Yixuan Wu (ORCID: https://orcid.org/0000-0001-5443-9746)
- Jianyao Lou (ORCID: https://orcid.org/0000-0003-2675-5834)
- Yiqun Fan (ORCID: https://orcid.org/0000-0002-1883-0649)
- Jiali Gong (ORCID: https://orcid.org/0000-0002-3559-2419)
- Jian Wu (ORCID: https://orcid.org/0000-0002-3230-6392)
- Tianyu Song (ORCID: https://orcid.org/0000-0001-9834-6795)
- Chaolu Hu (ORCID: https://orcid.org/0009-0001-1433-7048)
- Sien Hu (ORCID: https://orcid.org/0000-0002-0718-4389)
- Hongxia Xu
- Yongji Sun
- Xiawei Li (ORCID: https://orcid.org/0000-0002-2709-7020)
- Changming Lv
- Kai Zhang (ORCID: https://orcid.org/0000-0001-6818-377X)
Institutions
- Zhejiang Chinese Medical University (CN)
- Harvard University (US)
- Zhejiang Cancer Hospital (CN)
- Zhejiang Lab (CN)
- Hangzhou Wanxiang Polytechnic (CN)
- Second Affiliated Hospital of Zhejiang University (CN)
- Zhejiang University (CN)
Publication Details
- Journal
- Cancer Medicine
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1002/cam4.70388
- Citations
- 5
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 1.41
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- Zhejiang Province Public Welfare Technology Application Research Project