Quality of Life and Functions After Chemoradiation for Rectal Cancer: A Review of Recent Publications

We have systematically reviewed studies published in the last three years on patients\u2019 self-reported evaluations of quality of life (QoL) and functions after chemoradiotherapy (CRT) for rectal cancer. Overall, the findings from 13 studies confirmed that CRT negatively affect functions and, consequently, patients\u2019 QoL, especially for bowel, role, and social function. The studies\u2019 heterogeneity limited the possibility of comparison among findings. We discuss and comment on the ideal characteristics of studies assessing QoL and function. We emphasise how this type of evidence is relevant to decision-making at all levels of health-care practice

Bayesian network structure for predicting local tumor recurrence in rectal cancer patients treated with neoadjuvant chemoradiation followed by surgery

Background and Purpose Tumor recurrence, a characteristic of malignant tumors, is the biggest concern for rectal cancer survivors. The epidemiology of the disease calls for a pressing need to improve healthcare quality and patient outcomes. Prediction models such as Bayesian networks, which can probabilistically reason under uncertainty, could assist caregivers with patient management. However, some concerns are associated with the standard approaches to developing these structures in medicine. Therefore, this study aims to compare Bayesian network structures that stem from these two techniques. Materials and Methods A retrospective analysis was performed on 6754 locally advanced rectal cancer (LARC) patients enrolled in 14 international clinical trials. Local tumor recurrence at 2, 3, and 5-years was defined as the endpoints of interest. Five rectal cancer treating physicians from three countries elicited the expert structure. The algorithmic structure was inferred from the data with the hill-climbing algorithm. Structural performance was assessed with calibration plots and area under the curve values. Results The area under the curve for the expert structure on the training and validation data was above 0.9 and 0.8, respectively, for all the time points. However, the algorithmic structure had superior predictive performance over the expert structure for all time points of interest. Conclusion We have developed and internally validated a Bayesian networks structure from experts’ opinions, which can predict the risk of a LARC patient developing a tumor recurrence at 2, 3, and 5 years. Our result shows that the algorithmic-based structures are more performant and less interpretable than expert-based structures

Quality of life after surgery for rectal cancer

Patients' health-related quality of life (HRQoL) is now considered a relevant clinical outcome. This study systematically reviewed articles published in the last 5 years, focusing on the impact of rectal cancer treatment on patients' HRQoL. Of the 477 articles retrieved, 56 met the inclusion criteria. The most frequently reported comparisons were between surgical procedures (21 articles), especially between sphincter-preserving and non-sphincter preserving surgery or between stoma and stoma-free patients (13 articles), and between multimodality therapies (11 articles). Additionally, twelve articles compared patients' and healthy controls' HRQoL as primary or secondary aim. The majority of the studies were observational (84 %), controlled (66 %), cross-sectional (54 %), prospective (100 %), with a sample of more than 100 patients (59 %), and with more than 60 % of patients treated with neoadjuvant therapy (50 %). The most frequently used instruments were the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (QLQ-C30), its colorectal cancer specific module QLQ-CR38, and the Medical Outcomes Study Short-Form 36 items questionnaire. Findings from the included articles are summarised and commented, with a special focus on the comparison between surgical treatments, between irradiated and not-irradiated patients, and between patients and the general population