Learning from big data: are we undertreating older women with high-risk breast cancer?
作者信息
Sparano Joseph A, Muss Hyman
机构信息
Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY, USA.
University of North Carolina, Chapel Hill, NC, USA.
出版信息
NPJ Breast Cancer. 2016 Jun 8;2:16019. doi: 10.1038/npjbcancer.2016.19. eCollection 2016.
Abstract
摘要
相似文献
1
Learning from big data: are we undertreating older women with high-risk breast cancer?从大数据中学习：我们是否对老年高危乳腺癌女性治疗不足？
NPJ Breast Cancer. 2016 Jun 8;2:16019. doi: 10.1038/npjbcancer.2016.19. eCollection 2016.
2
Pharmacoeconomic burden of undertreating hypertension.高血压治疗不足的药物经济学负担
Pharmacoeconomics. 2004;22(14):907-28. doi: 10.2165/00019053-200422140-00002.
3
Change of paradigm in treating elderly with breast cancer: are we undertreating elderly patients?老年乳腺癌治疗模式的转变：我们对老年患者的治疗是否不足？
Ir J Med Sci. 2019 May;188(2):379-388. doi: 10.1007/s11845-018-1851-9. Epub 2018 Jun 23.
4
Lack of knowledge is not the same as lack of benefit: it is time to stop undertreating our elderly breast cancer patients.
J Surg Oncol. 2009 Mar 1;99(3):129-30. doi: 10.1002/jso.21219.
5
Machine learning and big data analytics in bipolar disorder: A position paper from the International Society for Bipolar Disorders Big Data Task Force.机器学习和大数据分析在双相障碍中的应用：国际双相障碍大数据工作组的立场文件。
Bipolar Disord. 2019 Nov;21(7):582-594. doi: 10.1111/bdi.12828. Epub 2019 Sep 18.
6
Age-related risk factors associated with primary contralateral breast cancer among younger women versus older women.与老年女性相比，年轻女性原发性对侧乳腺癌的相关年龄因素。
Breast Cancer Res Treat. 2019 Feb;173(3):657-665. doi: 10.1007/s10549-018-5031-4. Epub 2018 Oct 30.
7
Physical activity, disability, and the risk of hospitalization for breast cancer among older women.老年女性的身体活动、残疾状况与乳腺癌住院风险
J Gerontol A Biol Sci Med Sci. 2000 Jul;55(7):M418-21. doi: 10.1093/gerona/55.7.m418.
8
The influence of risk factors on breast carcinoma screening of Medicare-insured older women. National Cancer Institute Breast Cancer Screening Consortium.风险因素对参加医疗保险的老年女性乳腺癌筛查的影响。美国国立癌症研究所乳腺癌筛查联盟。
Cancer. 1996 Dec 15;78(12):2526-34. doi: 10.1002/(sici)1097-0142(19961215)78:12<2526::aid-cncr12>3.0.co;2-y.
9
The Breast International Group 1-98 trial: big results for women with hormone-sensitive early breast cancer.国际乳腺癌研究组1-98试验：对激素敏感型早期乳腺癌女性意义重大的结果。
Expert Rev Anticancer Ther. 2007 May;7(5):627-34. doi: 10.1586/14737140.7.5.627.
10
Serum big endothelin-1 levels in female patients with breast cancer.女性乳腺癌患者血清大内皮素-1水平
Int Immunopharmacol. 2008 Aug;8(8):1119-23. doi: 10.1016/j.intimp.2008.03.023. Epub 2008 Apr 28.
引用本文的文献
1
Decision Theory versus Conventional Statistics for Personalized Therapy of Breast Cancer.用于乳腺癌个体化治疗的决策理论与传统统计学
J Pers Med. 2022 Apr 2;12(4):570. doi: 10.3390/jpm12040570.
2
Decision theory for precision therapy of breast cancer.决策理论在乳腺癌精准治疗中的应用。
Sci Rep. 2021 Feb 19;11(1):4233. doi: 10.1038/s41598-021-82418-7.
本文引用的文献
1
FDA's Foray Into Big Data Still Maturing.美国食品药品监督管理局对大数据的涉足仍在不断成熟。
JAMA. 2016 May 10;315(18):1934-6. doi: 10.1001/jama.2016.2752.
2
Breast Cancer in Women Older Than 80 Years.80 岁以上女性的乳腺癌。
J Oncol Pract. 2016 Feb;12(2):123-32. doi: 10.1200/JOP.2015.010207.
3
Annual Hazard Rates of Recurrence for Breast Cancer During 24 Years of Follow-Up: Results From the International Breast Cancer Study Group Trials I to V.24 年随访期间乳腺癌复发的年危险率：国际乳腺癌研究组试验 I 至 V 的结果。
J Clin Oncol. 2016 Mar 20;34(9):927-35. doi: 10.1200/JCO.2015.62.3504. Epub 2016 Jan 19.
4
Building a Rapid Learning Health Care System for Oncology: Why CancerLinQ Collects Identifiable Health Information to Achieve Its Vision.构建快速学习型肿瘤医疗保健系统：癌症 LinQ 为何收集可识别健康信息以实现其愿景。
J Clin Oncol. 2016 Mar 1;34(7):756-63. doi: 10.1200/JCO.2015.65.0598. Epub 2016 Jan 11.
5
Cancer statistics, 2016.癌症统计数据，2016 年。
CA Cancer J Clin. 2016 Jan-Feb;66(1):7-30. doi: 10.3322/caac.21332. Epub 2016 Jan 7.
6
Prospective Validation of a 21-Gene Expression Assay in Breast Cancer.21基因表达检测法在乳腺癌中的前瞻性验证
N Engl J Med. 2015 Nov 19;373(21):2005-14. doi: 10.1056/NEJMoa1510764. Epub 2015 Sep 27.
7
Artificial Intelligence, Big Data, and Cancer.人工智能、大数据与癌症。
JAMA Oncol. 2015 Aug;1(5):573-4. doi: 10.1001/jamaoncol.2015.1203.
8
Long-Term Follow-Up of the E1199 Phase III Trial Evaluating the Role of Taxane and Schedule in Operable Breast Cancer.评估紫杉烷及给药方案在可手术乳腺癌中作用的E1199Ⅲ期试验的长期随访
J Clin Oncol. 2015 Jul 20;33(21):2353-60. doi: 10.1200/JCO.2015.60.9271. Epub 2015 Jun 15.
9
Comorbidity-adjusted life expectancy: a new tool to inform recommendations for optimal screening strategies.合并症调整预期寿命：为制定最佳筛查策略提供建议的新工具。
Ann Intern Med. 2013 Nov 19;159(10):667-76. doi: 10.7326/0003-4819-159-10-201311190-00005.
10
Prediction of late distant recurrence in patients with oestrogen-receptor-positive breast cancer: a prospective comparison of the breast-cancer index (BCI) assay, 21-gene recurrence score, and IHC4 in the TransATAC study population.雌激素受体阳性乳腺癌患者远处复发的预测：TransATAC 研究人群中乳腺癌指数（BCI）检测、21 基因复发评分和 IHC4 的前瞻性比较
Lancet Oncol. 2013 Oct;14(11):1067-1076. doi: 10.1016/S1470-2045(13)70387-5. Epub 2013 Sep 12.
Zotero 插件