Zobrazeno 1 - 10 of 105 pro vyhledávání: '"Giardiello, D."'
1
Assessing Performance and Clinical Usefulness in Prediction Models With Survival Outcomes: Practical Guidance for Cox Proportional Hazards Models
Autor: McLernon, D.J., Giardiello, D., Calster, B. van, Wynants, L., Geloven, N. van, Smeden, M. van, Therneau, T., Steyerberg, E.W., STRATOS Initiative
Publikováno v: Annals of Internal Medicine, 176(1), 105-114. American College of Physicians
Annals of internal medicine, 176(1), 105-114. American College of Physicians
Annals of Internal Medicine. AMER COLL PHYSICIANS
Annals of Internal Medicine
Risk prediction models need thorough validation to assess their performance. Validation of models for survival outcomes poses challenges due to the censoring of observations and the varying time horizon at which predictions can be made. We aim to giv
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f738b9cdec1cc809468de3f0f0c0d0c7
https://doi.org/10.7326/m22-0844
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4
PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients
Autor: Giardiello, D., Hooning, M.J., Hauptmann, M., Keeman, R., Heemskerk-Gerritsen, B.A.M., Becher, H., Blomqvist, C., Bojesen, S.E., Bolla, M.K., Camp, N.J., Czene, K., Devilee, P., Eccles, D.M., Fasching, P.A., Figueroa, J.D., Flyger, H., Garcia-Closas, M., Haiman, C.A., Hamann, U., Hopper, J.L., Jakubowska, A., Leeuwen, F.E., Lindblom, A., Lubinski, J., Margolin, S., Martinez, M.E., Nevanlinna, H., Nevelsteen, I., Pelders, S., Pharoah, P.D.P., Siesling, S., Southey, M.C., Hout, A.H. van der, Hest, L.P. van, Chang-Claude, J., Hall, P., Easton, D.F., Steyerberg, E.W., Schmidt, M.K.
Publikováno v: Breast Cancer Research, 24(1). BMC
Giardiello, D, Hooning, M J, Hauptmann, M, Keeman, R, Heemskerk-Gerritsen, B A M, Becher, H, Blomqvist, C, Bojesen, S E, Bolla, M K, Camp, N J, Czene, K, Devilee, P, Eccles, D M, Fasching, P A, Figueroa, J D, Flyger, H, García-Closas, M, Haiman, C A, Hamann, U, Hopper, J L, Jakubowska, A, Leeuwen, F E, Lindblom, A, Lubiński, J, Margolin, S, Martinez, M E, Nevanlinna, H, Nevelsteen, I, Pelders, S, Pharoah, P D P, Siesling, S, Southey, M C, van der Hout, A H, van Hest, L P, Chang-Claude, J, Hall, P, Easton, D F, Steyerberg, E W & Schmidt, M K 2022, ' PredictCBC-2.0 : a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients ', Breast Cancer Research, vol. 24, no. 1, 69 . https://doi.org/10.1186/s13058-022-01567-3
Breast Cancer Research, 24(1):69. BioMed Central Ltd.
Giardiello, D, Hooning, M J, Hauptmann, M, Keeman, R, Heemskerk-Gerritsen, B A M, Becher, H, Blomqvist, C, Bojesen, S E, Bolla, M K, Camp, N J, Czene, K, Devilee, P, Eccles, D M, Fasching, P A, Figueroa, J D, Flyger, H, García-Closas, M, Haiman, C A, Hamann, U, Hopper, J L, Jakubowska, A, Leeuwen, F E, Lindblom, A, Lubiński, J, Margolin, S, Martinez, M E, Nevanlinna, H, Nevelsteen, I, Pelders, S, Pharoah, P D P, Siesling, S, Southey, M C, van der Hout, A H, van Hest, L P, Chang-Claude, J, Hall, P, Easton, D F, Steyerberg, E W & Schmidt, M K 2022, ' PredictCBC-2.0 : a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients ', Breast Cancer Research, vol. 24, no. 1, 69, pp. 69 . https://doi.org/10.1186/s13058-022-01567-3
Breast Cancer Research, 24(1):69. BioMed Central
Breast cancer research : BCR, vol 24, iss 1
Breast cancer research, 24:69. BioMed Central Ltd.
Background Prediction of contralateral breast cancer (CBC) risk is challenging due to moderate performances of the known risk factors. We aimed to improve our previous risk prediction model (PredictCBC) by updated follow-up and including additional r
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::754596fc7ee03ef8d45ce6f13282d81c
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5
Prediction of contralateral breast cancer: statistical aspects and prediction performance
Autor: Giardiello, D.
Publikováno v: None
Women with breast cancer often wonder whether they should have their other breast removed as well, to prevent a potential tumor from developing there. The exact risks vary significantly per person. We used information about patients, breast cancer ch
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8705bceb5e846826e8ce7db37f1c929b
http://hdl.handle.net/1887/3455362
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6
Akademický článek
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7
Validation of prediction models in the presence of competing risks: a guide through modern methods
Autor: Geloven, N. van, Giardiello, D., Bonneville, E.F., Teece, L., Ramspek, C.L., Smeden, M. van, Snell, K.I.E., Calster, B. van, Pohar-Perme, M., Riley, R.D., Putter, H., Steyerberg, E., STRATOS Initiative
Publikováno v: The BMJ. BMJ Publishing Group
BRITISH MEDICAL JOURNAL
BRITISH MEDICAL JOURNAL, 377. BMJ PUBLISHING GROUP
Thorough validation is pivotal for any prediction model before it can be advocated for use in medical practice. For time-to-event outcomes such as breast cancer recurrence, death from other causes is a competing risk. Model performance measures must
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f20be5398754163a985c02ed6efed728
https://pure.eur.nl/en/publications/0d6b9a20-9917-41e3-bf32-46922165af3f
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8
Development and validation of the PORTRET tool to predict recurrence, overall survival, and other-cause mortality in older patients with breast cancer in the Netherlands: a population-based study
Autor: Plas-Krijgsman, W.G. van der, Giardiello, D., Putter, H., Steyerberg, E.W., Bastiaannet, E., Stiggelbout, A.M., Mooijaart, S.P., Kroep, J.R. de, Portielje, J.E.A., Liefers, G.J., Glas, N.A. de
Publikováno v: The Lancet Healthy Longevity, 2(11), E704-E711. ELSEVIER
Background Current prediction tools for breast cancer outcomes are not tailored to the older patient, in whom competing risk strongly influences treatment effects. We aimed to develop and validate a prediction tool for 5-year recurrence, overall mort
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::fad20cccfef44d8c0ada8f503e26c51d
http://hdl.handle.net/1887/3276288
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9
Breast Cancer Polygenic Risk Score and Contralateral Breast Cancer Risk
Autor: Kramer, I., Hooning, M.J., Mavaddat, N., Hauptmann, M., Keeman, R., Steyerberg, E.W., Giardiello, D., Antoniou, A.C., Pharoah, P.D.P., Canisius, S., Abu-Ful, Z., Andrulis, I.L., Anton-Culver, H., Aronson, K.J., Augustinsson, A., Becher, H., Beckmann, M.W., Behrens, S., Benitez, J., Bermisheva, M., Bogdanova, N.V., Bojesen, S.E., Bolla, M.K., Bonanni, B., Brauch, H., Bremer, M., Brucker, S.Y., Burwinkel, B., Castelao, J.E., Chan, T.L., Chang-Claude, J., Chanock, S.J., Chenevix-Trench, G., Choi, J.Y., Clarke, C.L., Collee, J.M., Couch, F.J., Cox, A., Cross, S.S., Czene, K., Daly, M.B., Devilee, P., Dork, T., dos-Santos-Silva, I., Dunning, A.M., Dwek, M., Eccles, D.M., Evans, D.G., Fasching, P.A., Flyger, H., Gago-Dominguez, M., Garcia-Closas, M., Garcia-Saenz, J.A., Giles, G.G., Goldgar, D.E., Gonzalez-Neira, A., Haiman, C.A., Hakansson, N., Hamann, U., Hartman, M., Heemskerk-Gerritsen, B.A.M., Hollestelle, A., Hopper, J.L., Hou, M.F., Howell, A., Ito, H., Jakimovska, M., Jakubowska, A., Janni, W., John, E.M., Jung, A., Kang, D., Kets, C.M., Khusnutdinova, E., Ko, Y.D., Kristensen, V.N., Kurian, A.W., Kwong, A., Lambrechts, D., Marchand, L. le, Li, J.M., Lindblom, A., Mannermaa, A., Manoochehri, M., Margolin, S., Matsuo, K., Mavroudis, D., Meindl, A., Milne, R.L., Mulligan, A.M., Muranen, T.A., Neuhausen, S.L., Nevanlinna, H., Newman, W.G., Olshan, A.F., Olson, J.E., Olsson, H., Park-Simon, T.W., Peto, J., Petridis, C., Plaseska-Karanfilska, D., Presneau, N., Pylkas, K., Radice, P., Rennert, G., Romero, A., Roylance, R., Saloustros, E., Sawyer, E.J., Schmutzler, R.K., Schwentner, L., Scott, C., See, M.H., Shah, M., Shen, C.Y., Shu, X.O., Siesling, S., Slager, S., Sohn, C., Southey, M.C., Spinelli, J.J., Stone, J., Tapper, W.J., Tengstrom, M., Teo, S.H., Terry, M.B., Tollenaar, R.A.E.M., Tomlinson, I., Troester, M.A., Vachon, C.M., Ongeval, C. van, Veen, E.M. van, Winqvist, R., Wolk, A., Zheng, W., Ziogas, A., Easton, D.F., Hall, P., Schmidt, M.K., NBCS Collaborators, ABCTB Investigators, kConFab Investigators
Publikováno v: American Journal of Human Genetics, 107(5), 837-848. CELL PRESS
Previous research has shown that polygenic risk scores (PRSs) can be used to stratify women according to their risk of developing primary invasive breast cancer. This study aimed to evaluate the association between a recently validated PRS of 313 ger
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d9b102d71297fcd32384cb2293834005
https://hdl.handle.net/1887/3184434
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10
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