title: Tailored follow-up for early breast cancer patients: a prognostic index that predicts locoregional recurrence.
abstract: OBJECTIVE
  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.
authors.affiliation: Department of Surgery, Leiden University Medical Centre, K6-R, P.O. Box 9600, 2300 RC Leiden, The Netherlands.
authors.forename: J G H
authors.initials: JG
authors.lastname: van Nes
authors.forename: H
authors.initials: H
authors.lastname: Putter
authors.forename: M
authors.initials: M
authors.lastname: van Hezewijk
authors.forename: E T M
authors.initials: ET
authors.lastname: Hille
authors.forename: H
authors.initials: H
authors.lastname: Bartelink
authors.forename: L
authors.initials: L
authors.lastname: Collette
authors.forename: C J H
authors.initials: CJ
authors.lastname: van de Velde
mesh_terms: D000328:Adult; D000368:Aged; D000704:Analysis of Variance; D001943:Breast Neoplasms / Q000473:pathology* / Q000601:surgery; D015986:Confounding Factors, Epidemiologic; D003663:Decision Trees; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D015411:Mastectomy, Modified Radical; D015412:Mastectomy, Segmental; D008875:Middle Aged; D015337:Multicenter Studies as Topic; D009364:Neoplasm Recurrence, Local / Q000175:diagnosis*; D009367:Neoplasm Staging; D011237:Predictive Value of Tests; D011379:Prognosis; D016016:Proportional Hazards Models; D016032:Randomized Controlled Trials as Topic; D018570:Risk Assessment; D012307:Risk Factors