Prediction model study focusing on eHealth in the management of urinary incontinence: the Personalised Advantage Index as a decision-making aid by Huibert Burger, Henk van der Worp, Marco H Blanker, Marjolein Y Berger, Anne Martina Maria Loohuis, Nienke Wessels, Janny Dekker, Alec GGA Malmberg

“…Of the 350 screened women, 262 were eligible and randomised to app-based treatment or care as usual; 195 (74%) attended follow-up.Predictors Literature review and expert opinion identified 13 candidate predictors, categorised into two groups: Prognostic factors (independent of treatment type), such as UI severity, postmenopausal state, vaginal births, general physical health status, pelvic floor muscle function and body mass index; and modifiers (dependent on treatment type), such as age, UI type and duration, impact on quality of life, previous physical therapy, recruitment method and educational level.Main outcome measure Primary outcome was symptom severity after a 4-month follow-up period, measured by the International Consultation on Incontinence Questionnaire the Urinary Incontinence Short Form. …”
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E_N_T_R_O_P_Y: Monocentric analysis of rectal cancer radio-chemotherapy treatment in patients of young age by E. Meldolesi, A. Nicolì, N. Dinapoli, G. Chiloiro, A. Romano, R. Menghi, R. Persiani, F. Pacelli, C. Coco, C. Ratto, S. Manfrida, L. Boldrini, B. Corvari, M.A. Gambacorta

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Systematic identification of secondary bile acid production genes in global microbiome by Yuwei Yang, Wenxing Gao, Ruixin Zhu, Liwen Tao, Wanning Chen, Xinyue Zhu, Mengping Shen, Tingjun Xu, Tingting Zhao, Xiaobai Zhang, Lixin Zhu, Na Jiao

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