See INFLUENCE project

References INFLUENCE project

An overview of scientific output related to the INFLUENCE project.

2020

Witteveen, A, de Munck, L, Groothuis-Oudshoorn, CGM, Sonke, GS, Poortmans, PMP, Boersma, LJ, Smidt, ML, Vliegen, IMH, IJzerman, MJ, Siesling, S. (2020) Evaluating the Age-Based Recommendations for Long-Term Follow-Up in Breast Cancer. The Oncologist, 25(9), 2019-0973. https://doi.org/10.1634/theoncologist.2019-0973

Draeger, T, Voelkel, V, Groothuis-Oudshoorn, CGM, Lavric, M, Veltman, J, Dassen, A, Boersma, LJ, Witteveen, A, Sonke, GS, Koffijberg, H, Siesling, S. (2020). Applying Risk-Based Follow-Up Strategies on the Dutch Breast Cancer Population: Consequences for Care and Costs. Value in Health, 23(9), 1149–1156. https://doi.org/10.1016/j.jval.2020.05.012

2019

Otten, JWM, Timmer, JB, Witteveen, A. (2018) Stratified breast cancer follow-up using a continuous-state partially observable Markov decision process. European Journal of Operational Research, 281(2), 464-474. https://doi.org/10.1016/j.ejor.2019.08.046

Draeger, T, Voelkel, V, Groothuis-Oudshoorn, C, Lavric, M, Veltman, J, Dassen, A, Boersma, L, Witteveen, A, Sonke, GS, Koffijberg, H, Siesling, S. (2019) Stratified Applying risk-based follow-up strategies on the Dutch breast cancer population: Consequences  for care  and  costs. San  Antonio  Breast  Cancer Symposium (SABCS), 10-14 December 2019, San Antonio.

Maaren, MC, van Steenbeek, CD, Siesling, S, Witteveen, A, Verbeek, X, Koffijberg, H. (2018) Facilitating validation of prediction models: a comparison of manual and semi-automated validation using registry-based data. BMC medical research methodology, 19(1), 1-17. https://doi.org/10.1186/s12874-019-0761-5

2018

Witteveen, A. (2018) INFLUENCE: INdividualized FolLow-Up for brEast caNCEr (thesis) doi: 10.3990/1.9789036546409

 Witteveen, A, Otten, JWM, Vliegen, IMH, Siesling, S, Timmer, JB and IJzerman, MJ. (2018) Risk-based breast cancer follow-up stratified by age. Cancer Medicine, 7(10). 5291-5298. https://doi.org/10.1002/ cam4.1760

 Witteveen, A, Nane, GF, Vliegen, IMH, Siesling, S, and IJzerman, MJ. (2018) Comparison of logistic regression and Bayesian Networks for risk prediction of breast cancer recurrence. Medical Decision Making 38(7), 822-833. https://doi.org/10.1177/0272989X18790963

 De Ligt, KM, Witteveen, A, Siesling, S, and Steuten, LMG. (2018) Shifting breast cancer surveillance from current hospital setting to a community based setting: a cost-effectiveness study. BMC Cancer, 18(1). https://doi.org/10.1186/s12885-018-3992-7.

2017

Van Maaren, MC, van Steenbeek, CD, Pharoah, PDP, Witteveen, A, Sonke, GS, Strobbe, LJA, Poortmans, PM, and Siesling, S. (2017) Validation of the online prediction tool PREDICT v. 2.0 in the Dutch breast cancer population. European Journal of Cancer, 86(2017). 364-372. https://doi.org/10.1016/j.ejca.2017.09.031.

Otten, JWM, Witteveen, A, Timmer, JB. Stratified Breast Cancer Follow-Up Using a Continuous-State POMDP, Annual meeting of the EURO Working Group on Operational Research Applied to Health Services (ORAHS 2017), 30 July-4 August 2017, Bath.

Geurts*,  YM,   Witteveen*,   A,   Bretveld,   R,    Poortmans, PMP, Sonke, GS, Strobbe, L, Siesling, S. (2016) Patterns and predictors of first and subsequent recurrence in women with early breast cancer. Breast Cancer Research and Treatment 165 (3). 709 - 720. https://doi.org/10.1007/s10549-017-4340-3.

Otten, JWM, Witteveen, A, Vliegen, IMH, Siesling, S, Timmer, JB, IJzerman, MJ. Stratified Breast Cancer Follow-Up Using a Partially Observable MDP, in Markov Decision Processes in Practice, ed. by R. Boucherie, N.M. van Dijk (Springer, New York, 2017). https://doi.org/10.1007/ 978-3-319-47766-4

2016

Witteveen, A, Vliegen, IMH, Nane, GF, Siesling, S, IJzerman, MJ. Comparison of logistic regression and Bayesian Belief Networks for prediction of breast cancer recurrence risk. 38th Annual North American Meeting of the Society for Medical Decision Making (SMDM) "From uncertainty to action", 23-26 October 2016, Vancouver.

Witteveen, A, Groothuis-Oudshoorn, CGM, Vliegen, IMH, IJzerman, MJ, Siesling, S. Prediction model for recurrence and allocation of visits during 10 years: working towards personalized breast cancer follow-up. WEON "fit for the future", 40th Dutch Epidemiology Conference, 16-17 June 2016, Wageningen.

Witteveen, A, Munck, L de, Groothuis-Oudshoorn, CGM, Sonke, GS, Klaase, JM, Boersma, L, Vliegen, IMH, IJzerman, MJ, Siesling, S. Long-term recurrence risk and risk-based follow-up after breast cancer treatment. San Antonio Breast Cancer Symposium (SABCS), 06-10 December 2016, San Antonio.

Geurts, YM, Witteveen, A, Bretveld, R, Poortmans, PMP,  Sonke, GS, Strobbe, L, Siesling, S. Patterns and risk of first and subsequent recurrences in women within ten years after primary invasive breast cancer. In: 10th European Breast Cancer Conference (EBCC-10), Multidisciplinary Innovation in Breast Cancer Care, 9 -11 March 2016, Amsterdam.

Ligt, K de, Witteveen, A, Siesling, S, Steuten, LMG. Cost- effectiveness of shifting breast cancer surveillance from a hospital setting to a community-based national screening programme setting. 10th European Breast Cancer Conference (EBCC-10), 9-11 March 2016, Amsterdam.

Witteveen, A, Ruiter, JW, Bretveld, R, Groothuis-Oudshoorn, CGM, Vliegen, IMH, IJzerman, MJ, Siesling, S. Towards personalized breast cancer follow-up: prediction model for recurrence and allocation of visits during 10 years of follow-up. 10th European Breast Cancer Conference (EBCC-10), 9-11 March 2016, Amsterdam.

2015

Witteveen, A, Kwast, ABG, Sonke, GS, IJzerman, MJ, Siesling, S. (2015) Towards personalized follow-up: A conditional prediction model and nomogram for risk of locoregional recurrence in early breast cancer patients. Breast Cancer Research and Treatment, 152 (3). 627 - 636. https://doi.org/10.1007/s10549-015-3490-4

Witteveen, A, Vliegen, IMH, Sonke, GS, Klaase, JM, IJzerman, MJ, Siesling, S. Time-dependent nomogram for risk of locoregional recurrence in early breast cancer patients: 10 year extension. San Antonio Breast Cancer Symposium (SABCS), 08-12 August 2015, San Antonio.

Witteveen, A, Kwast, ABG, Sonke, GS, IJzerman, MJ, Siesling, S. (2015) Survival after Locoregional Recurrence or Second Primary Breast Cancer: Impact of the Disease-Free Interval. PLOS one, 10 (4). e0120832 -. https://doi.org/10.1371/journal.pone.0120832

Witteveen, A, Vliegen, IMH, IJzerman, MJ, Siesling, S. Personalized follow-up: Time-dependent nomogram for risk of locoregional recurrence in early breast cancer patients. 37th Annual International Association of Cancer Registries (IACR) Conference, 07 - 10 October 2015, Mumbai.

Witteveen, A, Vliegen, IMH, Sonke, GS, Klaase, JM, IJzerman, MJ, Siesling, S. Towards personalized follow-up: A conditional prediction model and nomogram for risk of locoregional recurrence in early breast cancer patients. European Congress of Epidemiology – Healthy Living, 25-27 June 2015, Maastricht.

2014

Witteveen, A, Vliegen, IMH, Siesling, S, IJzerman, MJ. (2014) A validated prediction model and nomogram for risk of recurrence in early breast cancer patients. Value in health, 17 (7). A619-A620. https://doi.org/10.1016/j.jval.2014.08.2192

Witteveen, A, Kwast, ABG, Sonke, GS, IJzerman, MJ, Siesling, S. (2014) Survival after locoregional recurrence or second primary breast cancer: Impact of the disease-free interval. Value in health, 17 (7). A620-A621. https://doi.org/10.1016/j.jval.2014.08.2193

Kiderlen, M, Gruiter, LJ de, Bastiaannet, E, Witteveen, A, Craen, AJ, Velde, CJ van de, Liefers, GJ, Siesling, S. Unfavourable predictive factors in older women with clinically favourable breast cancer. SIOG 2014, 23-25 October 2014, Lisbon.

Witteveen, A, Kwast, ABG, Sonke, GS, IJzerman, MJ, Siesling, S. Survival after breast cancer recurrence: the disease-free interval. WEON 2014, to cause or not to cause?, 5-6 June 2014, Leiden.

Witteveen, A., Kwast, A.B.G., Sonke, G.S., IJzerman, M.J. and Siesling, S. Effect of the disease-free interval on survival after locoregional recurrence or second primary breast cancer. European Breast Cancer Conference, 19-21 March 2014, Glasgow.