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Tailored Strategies are Needed to Address Racial and Ethnic Disparities in Pancreatic Cancer Risk Prediction.

作者信息

Chen Wansu, Zhou Botao, Luong Tiffany Q, Xie Fagen, Wu Bechien U

机构信息

Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California.

Center for Pancreatic Care, Department of Gastroenterology, Los Angeles Medical Center, Southern California Permanente Medical Group, Los Angeles, California.

出版信息

Gastro Hep Adv. 2025 Mar 22;4(6):100657. doi: 10.1016/j.gastha.2025.100657. eCollection 2025.

DOI:10.1016/j.gastha.2025.100657
PMID:40487270
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12137151/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71e1/12137151/43da51805053/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71e1/12137151/43da51805053/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71e1/12137151/43da51805053/gr1.jpg

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本文引用的文献

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A pancreatic cancer risk prediction model (Prism) developed and validated on large-scale US clinical data.基于大规模美国临床数据开发和验证的胰腺癌风险预测模型（Prism）。
EBioMedicine. 2023 Dec;98:104888. doi: 10.1016/j.ebiom.2023.104888. Epub 2023 Nov 25.
2
Racial, Ethnic, and Sex-based Disparities among High-risk Individuals Undergoing Pancreatic Cancer Surveillance.高危人群行胰腺癌监测的种族、民族和性别差异。
Cancer Prev Res (Phila). 2023 Jun 1;16(6):343-352. doi: 10.1158/1940-6207.CAPR-22-0529.
3
Machine learning versus regression for prediction of sporadic pancreatic cancer.
机器学习与回归在预测散发性胰腺癌中的比较。
Pancreatology. 2023 Jun;23(4):396-402. doi: 10.1016/j.pan.2023.04.009. Epub 2023 Apr 27.
4
Derivation and External Validation of Machine Learning-Based Model for Detection of Pancreatic Cancer.基于机器学习的胰腺癌检测模型的推导和外部验证。
Am J Gastroenterol. 2023 Jan 1;118(1):157-167. doi: 10.14309/ajg.0000000000002050. Epub 2022 Oct 13.
5
Prediction performance and fairness heterogeneity in cardiovascular risk models.心血管风险模型的预测性能和公平性异质性。
Sci Rep. 2022 Jul 22;12(1):12542. doi: 10.1038/s41598-022-16615-3.