A paradigm shift from current population based medicine to personalized and participative medicine is underway. This transition is being supported by the development of clinical decision support systems based on prediction models of treatment outcome. In radiation oncology, these models 'learn' using advanced and innovative information technologies (ideally in a distributed fashion - please watch the animation: http://youtu.be/ZDJFOxpwqEA) from all available/appropriate medical data (clinical, treatment, imaging, biological/genetic, etc.) to achieve the highest possible accuracy with respect to prediction of tumor response and normal tissue toxicity. In this position paper, we deliver an overview of the factors that are associated with outcome in radiation oncology and discuss the methodology behind the development of accurate prediction models, which is a multi-faceted process. Subsequent to initial development/validation and clinical introduction, decision support systems should be constantly re-evaluated (through quality assurance procedures) in different patient datasets in order to refine and re-optimize the models, ensuring the continuous utility of the models. In the reasonably near future, decision support systems will be fully integrated within the clinic, with data and knowledge being shared in a standardized, dynamic, and potentially global manner enabling truly personalized and participative medicine.

To examine the impact of late treatment-related xerostomia and dysphagia on health-related quality of life (HRQOL) in head and neck cancer (HNC) patients after radiotherapy. A multi-center cross-sectional survey was performed. Patients with a follow-up of at least 6months after curative radiotherapy, without evidence of recurrent disease were eligible for inclusion. The Euroqol-5D questionnaire (EQ-5D) was filled out and toxicity was scored and converted to the RTOG scale. The EQ-5D measures generic HRQOL in terms of utility and visual analogue scale (VAS) scores. Missing data on the EQ-5D were imputed using multiple imputation. HRQOL was compared between subgroups of patients with and without toxicity. Subsequently, the impact of xerostomia and dysphagia on HRQOL was analyzed using multivariate regression analyses. Both analyses were performed separately for utility scores and VAS scores. The study population was composed of 396 HNC patients. The average utility and VAS scores were 0.85 (scale 0-1) and 75 (scale 0-100). Subgroups of patients with xerostomia and/or dysphagia showed statistically significantly lower utility and VAS scores (P=0.000-0.022). The multivariate regression model showed that xerostomia and dysphagia were negative predictors of both utility and VAS scores. Other factors which influenced HRQOL in at least one of the two regression models were: sex, tumor location and the addition of surgery to radiotherapy. Xerostomia and dysphagia diminish generic HRQOL. Moreover dysphagia affects patients' HRQOL stronger than xerostomia.

BackgroundDetermination of the presence or absence of bacterial infection is important to guide appropriate therapy and reduce antibiotic exposure. Procalcitonin (PCT) is an inflammatory marker that has been suggested as a marker for bacterial infection.ObjectivesTo assess the clinical effectiveness and cost-effectiveness of adding PCT testing to the information used to guide antibiotic therapy in adults and children (1) with confirmed or highly suspected sepsis in intensive care and (2) presenting to the emergency department (ED) with suspected bacterial infection.MethodsTwelve databases were searched to June 2014. Randomised controlled trials were assessed for quality using the Cochrane Risk of Bias tool. Summary relative risks (RRs) and weighted mean differences (WMDs) were estimated using random-effects models. Heterogeneity was assessed visually using forest plots and statistically using theI2andQstatistics and investigated through subgroup analysis. The cost-effectiveness of PCT testing in addition to current clinical practice was compared with current clinical practice using a decision tree with a 6 months’ time horizon.ResultsEighteen studies (36 reports) were included in the systematic review. PCT algorithms were associated with reduced antibiotic duration [WMD –3.19 days, 95% confidence interval (CI) –5.44 to –0.95 days,I2 = 95.2%; four studies], hospital stay (WMD –3.85 days, 95% CI –6.78 to –0.92 days,I2 = 75.2%; four studies) and a trend towards reduced intensive care unit (ICU) stay (WMD –2.03 days, 95% CI –4.19 to 0.13 days,I2 = 81.0%; four studies). There were no differences for adverse clinical outcomes. PCT algorithms were associated with a reduction in the proportion of adults (RR 0.77, 95% CI 0.68 to 0.87; seven studies) and children (RR 0.86, 95% CI 0.80 to 0.93) receiving antibiotics, reduced antibiotic duration (two studies). There were no differences for adverse clinical outcomes. All but one of the studies in the ED were conducted in people presenting with respiratory symptoms.Cost-effectiveness: the base-case analyses indicated that PCT testing was cost-saving for (1) adults with confirmed or highly suspected sepsis in an ICU setting; (2) adults with suspected bacterial infection presenting to the ED; and (3) children with suspected bacterial infection presenting to the ED. Cost-savings ranged from £368 to £3268. Moreover, PCT-guided treatment resulted in a small quality-adjusted life-year (QALY) gain (ranging between < 0.001 and 0.005). Cost-effectiveness acceptability curves showed that PCT-guided treatment has a probability of ≥ 84% of being cost-effective for all settings and populations considered (at willingness-to-pay thresholds of £20,000 and £30,000 per QALY).ConclusionsThe limited available data suggest that PCT testing may be effective and cost-effective when used to guide discontinuation of antibiotics in adults being treated for suspected or confirmed sepsis in ICU settings and initiation of antibiotics in adults presenting to the ED with respiratory symptoms and suspected bacterial infection. However, it is not clear that observed costs and effects are directly attributable to PCT testing, are generalisable outside people presenting with respiratory symptoms (for the ED setting) and would be reproducible in the UK NHS. Further studies are needed to assess the effectiveness of adding PCT algorithms to the information used to guide antibiotic treatment in children with suspected or confirmed sepsis in ICU settings. Additional research is needed to examine whether the outcomes presented in this report are fully generalisable to the UK.Study registrationThis study is registered as PROSPERO CRD42014010822.FundingThe National Institute for Health Research Health Technology Assessment programme.