M. Gort

Actionable indicators for short and long term outcomes in rectal cancer

AIM OF THE STUDY Although patient and tumour characteristics are the most important determinants for outcomes in rectal cancer care, actionable factors for improving these are still unclear. Therefore, the purpose of this study was to assess the impact of surgeon and hospital factors which can actually be influenced to improve on postoperative complications, disease-free survival (DFS) and relative survival (RS) in rectal cancer. METHODS For 819 curatively operated rectal cancer patients, staged I-III and diagnosed between 2001 and 2005, data were derived from the population-based Cancer Registry of the Comprehensive Cancer Centre North East and supplemented by medical record examination. (Multilevel) Logistic regression analysis was performed to examine the influence of relevant factors on postoperative complications and time from diagnosis to first treatment. Besides, Cox regression analysis for DFS and relative survival analysis was performed. RESULTS Postoperative complications were dependent on type of surgery (p=0.024) and hospital volume (p=0.029). DFS was mainly influenced by stage (p<0.001) and time to treatment (p=0.018). Actionable indicators related to RS were type of surgery (p=0.011) and time to treatment (p=0.048). Time to treatment was found to be related to co-morbidity (p=0.007), preoperative radiotherapy (p=0.003) and referral for operation (p=0.048). Nevertheless, 18.2% unexplained variation in time to treatment remained on hospital level. CONCLUSIONS We conclude that optimal outcomes for rectal cancer care can be achieved by focusing on early detection and timely diagnosis, as well as adequate choice and timeliness of treatment in hospitals with optimal logistics for rectal cancer patients.

Factors influencing time between surgery and radiotherapy : A population based study of breast cancer patients

This study describes variation in the time interval between surgery and radiotherapy in breast cancer (BC) patients and assesses factors at patient, hospital and radiotherapy centre (RTC) level influencing this variation. To do so, the factors were investigated in BC patients using multilevel logistic regression. The study sample consisted of 15,961 patients from the Netherlands Cancer Registry at 79 hospitals and 19 (RTCs) with breast-conserving surgery or mastectomy directly followed by radiotherapy. The percentage of patients starting radiotherapy ≤42 days varied from 14% to 94%. Early year of incidence, higher age, higher stage, mastectomy, higher ASA category and no availability of radiotherapy facilities were significantly associated with a longer time interval between radiotherapy and surgery. More patients received radiotherapy ≤42 days in hospitals with on-site radiotherapy facilities (OR 1.36, p = 0.024). Among the remainder, significant variation was found at the RTC level (11.1%, σ(2) = 0.254, SE 0.054), and at the hospital level (6.4% σ2 = 0.443, SE 0.163) (ICC 0.064). The significant delay and unexplained variance remaining at the RCT and hospital level suggests delays caused by the patient referral pathway from hospital to RCT, and indicates potential for improvement at both levels.

Original articleFactors influencing time between surgery and radiotherapy: A population based study of breast cancer patients

This study describes variation in the time interval between surgery and radiotherapy in breast cancer (BC) patients and assesses factors at patient, hospital and radiotherapy centre (RTC) level influencing this variation. To do so, the factors were investigated in BC patients using multilevel logistic regression. The study sample consisted of 15,961 patients from the Netherlands Cancer Registry at 79 hospitals and 19 (RTCs) with breast-conserving surgery or mastectomy directly followed by radiotherapy. The percentage of patients starting radiotherapy ≤42 days varied from 14% to 94%. Early year of incidence, higher age, higher stage, mastectomy, higher ASA category and no availability of radiotherapy facilities were significantly associated with a longer time interval between radiotherapy and surgery. More patients received radiotherapy ≤42 days in hospitals with on-site radiotherapy facilities (OR 1.36, p = 0.024). Among the remainder, significant variation was found at the RTC level (11.1%, σ(2) = 0.254, SE 0.054), and at the hospital level (6.4% σ2 = 0.443, SE 0.163) (ICC 0.064). The significant delay and unexplained variance remaining at the RCT and hospital level suggests delays caused by the patient referral pathway from hospital to RCT, and indicates potential for improvement at both levels.