AIMS: After treatment, early breast cancer patients undergo follow-up according to standard regimens. After the first year, the main goal is particularly to detect locoregional recurrences (LRR). Our aim was to develop a simple prognostic index to predict LRR to tailor the follow-up programme. METHODS: We used data from four large international clinical randomised trials and constructed the prognostic index using Cox proportional hazards regression. The bootstrap (a resampling method) was used for internal validation. RESULTS: A total of 6516 patients treated according to current guidelines with complete covariable information were used for analysis. Covariables important for LRR in patients treated with breast conserving therapy were age, pathological tumour status, boost and surgical margins. The same variables were important for patients treated with a mastectomy, however, instead of the boost, the pathological nodal status was important. The index is composed to consist of three groups based on LRR risk after 10-years. CONCLUSIONS: We constructed a simple prognostic index that can be used to estimate risks of LRR in patients with early breast cancer. The prognostic index enables patients to be stratified into three subgroups with different outcomes with regard to LRR.
AIMS: After treatment, early breast cancerpatients undergo follow-up according to standard regimens. After the first year, the main goal is particularly to detect locoregional recurrences (LRR). Our aim was to develop a simple prognostic index to predict LRR to tailor the follow-up programme. METHODS: We used data from four large international clinical randomised trials and constructed the prognostic index using Cox proportional hazards regression. The bootstrap (a resampling method) was used for internal validation. RESULTS: A total of 6516 patients treated according to current guidelines with complete covariable information were used for analysis. Covariables important for LRR in patients treated with breast conserving therapy were age, pathological tumour status, boost and surgical margins. The same variables were important for patients treated with a mastectomy, however, instead of the boost, the pathological nodal status was important. The index is composed to consist of three groups based on LRR risk after 10-years. CONCLUSIONS: We constructed a simple prognostic index that can be used to estimate risks of LRR in patients with early breast cancer. The prognostic index enables patients to be stratified into three subgroups with different outcomes with regard to LRR.
Authors: Amira Ziouèche-Mottet; Gilles Houvenaeghel; Jean Marc Classe; Jean Rémi Garbay; Sylvia Giard; Hélène Charitansky; Monique Cohen; Catherine Belichard; Christelle Faure; Elisabeth Chéreau Ewald; Delphine Hudry; Pierre Azuar; Richard Villet; Pierre Gimbergues; Christine Tunon de Lara; Agnès Tallet; Marie Bannier; Mathieu Minsat; Eric Lambaudie; Michel Resbeut Journal: BMC Cancer Date: 2014-11-24 Impact factor: 4.430
Authors: Eric Lambaudie; Gilles Houvenaeghel; Amira Ziouèche; Sophie Knight; François Dravet; Jean Remy Garbay; Sylvie Giard; Hélène Charitansky; Monique Cohen; Christelle Faure; Delphine Hudry; Paul Azuar; Richard Villet; Pierre Gimbergues; Christine Tunon de Lara; Agnès Tallet; Marie Bannier; Mathieu Minsat; Michel Resbeut Journal: BMC Surg Date: 2016-11-15 Impact factor: 2.102
Authors: Cornelia D van Steenbeek; Marissa C van Maaren; Sabine Siesling; Annemieke Witteveen; Xander A A M Verbeek; Hendrik Koffijberg Journal: BMC Med Res Methodol Date: 2019-06-08 Impact factor: 4.615