دورية أكاديمية
Risk prediction models for endometrial cancer: development and validation in an international consortium
| العنوان: | Risk prediction models for endometrial cancer: development and validation in an international consortium |
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| المؤلفون: | J. Shi, P. Kraft, B. Rosner, Y. Benavente, A. Black, A. L. Brinton, C. Chen, M. A. Clarke, L. S. Cook, L. Costas, L. Dal Maso, J. L. Freudenheim, J. Frias-Gomez, M. G. Friedenreich, M. Garcia-Closas, M. T. Goodman, L. Johnson, C. La Vecchia, F. Levi, J. Lissowska, L. Lu, S. E. McCann, K. B. Moysich, E. Negri, K. O' Connell, F. Parazzini, S. Petruzella, J. Polesel, J. Ponte, T. R. Rebbeck, P. Reynolds, F. Ricceri, H. Risch, C. Sacerdote, V. W. Setiawan, X. -O. Shu, A. B. Spurdle, B. Trabert, P. M. Webb, N. Wentzensen, L. R. Wilkens, W. H. Xu, H. P. Yang, H. Yu, M. Du, I. De Vivo |
| المساهمون: | J. Shi, P. Kraft, B. Rosner, Y. Benavente, A. Black, A.L. Brinton, C. Chen, M.A. Clarke, L.S. Cook, L. Costa, L. Dal Maso, J.L. Freudenheim, J. Frias-Gomez, M.G. Friedenreich, M. Garcia-Closa, M.T. Goodman, L. Johnson, C. La Vecchia, F. Levi, J. Lissowska, L. Lu, S.E. Mccann, K.B. Moysich, E. Negri, K. O' Connell, F. Parazzini, S. Petruzella, J. Polesel, J. Ponte, T.R. Rebbeck, P. Reynold, F. Ricceri, H. Risch, C. Sacerdote, V.W. Setiawan, X.-. Shu, A.B. Spurdle, B. Trabert, P.M. Webb, N. Wentzensen, L.R. Wilken, W.H. Xu, H.P. Yang, H. Yu, M. Du, I. De Vivo |
| بيانات النشر: | Oxford University Press |
| سنة النشر: | 2023 |
| المجموعة: | The University of Milan: Archivio Istituzionale della Ricerca (AIR) |
| مصطلحات موضوعية: | endometrium, cancer risk, endometrial cancer, prediction model, Settore MED/01 - Statistica Medica, Settore MED/06 - Oncologia Medica, Settore MED/40 - Ginecologia e Ostetricia, Settore MED/42 - Igiene Generale e Applicata |
| الوصف: | Background: Endometrial cancer risk stratification may help target interventions, screening, or prophylactic hysterectomy to mitigate the rising burden of this cancer. However, existing prediction models have been developed in select cohorts and have not considered genetic factors. Methods: We developed endometrial cancer risk prediction models using data on postmenopausal white women aged 45-85 years from 19 case-control studies in the Epidemiology of Endometrial Cancer Consortium. Relative risk estimates for predictors were combined with age-specific endometrial cancer incidence rates and estimates for the underlying risk factor distribution. We externally validated the models in three cohorts: Nurses' Health Study (NHS), Nurses' Health Study II (NHS II) and the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial. Results: Area under the receiver operating characteristic curves for the epidemiologic model ranged from 0.64 (95% CI: 0.62, 0.67) to 0.69 (95% CI: 0.66, 0.72). Improvements in discrimination from the addition of genetic factors were modest (no change in AUC in NHS,; PLCO: 0.64 to 0.66). The epidemiologic model was well calibrated in NHS II (overall E/O = 1.09; 95% CI: 0.98, 1.22) and PLCO (overall E/O = 1.04; 95% CI: 0.95, 1.13) but poorly calibrated in NHS (overall E/O = 0.55; 95% CI: 0.51, 0.59). Conclusion: Using data from the largest, most heterogeneous study population to date, prediction models based on epidemiologic factors alone successfully identified women at high risk of endometrial cancer. Genetic factors offered limited improvements in discrimination. Further work is needed to refine this tool for clinical or public health practice and expand these models to multiethnic populations. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| العلاقة: | info:eu-repo/semantics/altIdentifier/pmid/36688725; info:eu-repo/semantics/altIdentifier/wos/WOS:000951083900001; volume:2023; firstpage:1; lastpage:32; numberofpages:32; journal:JOURNAL OF THE NATIONAL CANCER INSTITUTE; https://hdl.handle.net/2434/951937Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85159551452 |
| DOI: | 10.1093/jnci/djad014 |
| الإتاحة: | https://doi.org/10.1093/jnci/djad014Test https://hdl.handle.net/2434/951937Test |
| حقوق: | info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.F879E14E |
| قاعدة البيانات: | BASE |
| DOI: | 10.1093/jnci/djad014 |
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