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For all symptoms, Cohen's κ was better for group B emesis (0.25 group A vs. 0.36 group B), diarrhea (0.16 vs. 0.57), constipation (0.07 vs. 0.28), pain (0.22 vs. 0.42), fatigue (0.03 vs. 0.08). For all symptoms, although under-reporting was relevant in both groups, it was lower for group B emesis (75.49% vs. 60.0%, p=0.031), diarrhea (82.89% vs. 50.0%, p<0.001), constipation (92.11% vs. 69.57%, p<0.001), pain (59.57% vs. 42.31%, p=0.01), fatigue (82.11% vs. PF-06882961 64.10%, p<0.001).

Adoption of paper PROs allowed a significant reduction in under-reporting of symptoms, but agreement remained suboptimal. Direct integration of electronic PROs could minimize the issue of under-reporting of medical records, increasing their accuracy.

Adoption of paper PROs allowed a significant reduction in under-reporting of symptoms, but agreement remained suboptimal. Direct integration of electronic PROs could minimize the issue of under-reporting of medical records, increasing their accuracy.

The Italian Association of Medical Oncology (AIOM) and the Italian Association of Cancer Registers (AIRTUM) highlight that one out of three women experiences cancer in the course of her life. In 2018, excluding skin cancers, breast cancer accounted for 14.1% of total cancers, confirming it as the most diagnosed cancer among women (29.3%). In the postoperative stage, patients suffer side effects. They need immediate and active rehabilitation to encourage their return to work as well as the psychological recovery. The effectiveness and speed of this recovery, therefore, have significant impact in the short and long term, also for the society. The rehabilitative oncology path increases its positive effects if carried out through co-productive pathways. The economic impact of this process is unclear.

An exhaustive literature search was performed to shed light on state of the art about the patients' engagement during the rehabilitation path after breast cancer surgery, focusing on the literature analyzing the , opening up new research questions. Co-production processes are starting to develop.Head-neck neoplasms are the fifth most common cancer. Head-neck patients are particularly exposed to quality of life impairment due to the central anatomical-functional role of this region in primary functions such as breathing, swallowing and phonation. Many patients are already at an advanced stage of the disease at the time of diagnosis and their prognosis remains unfavourable despite new treatment options. They face daily with multiple and simultaneous symptoms. In 20% of cases the average survival is only 5 months, making it appropriate to take charge early for the important need of palliative care. The aim of this review is to deepen the knowledge concerning the neoplasms of the head-neck district, with particular reference to the symptoms and quality of life of people in advanced stage and in palliative care. The literature review was performed through CINAHL, Cochrane Library, Embase, PsycINFO, PubMed, Scopus and Web of Science. The research identified 9 studies that met the inclusion criteria. The repatible with the patient's conditions. Nursing care involves multidimensional assessment and an early individualized, symptom-driven and needs-oriented approach.Precision medicine (MP), using machine learning (ML) techniques of artificial intelligence (AI), analyzes the so-called "big data" to improve diagnostic skills and predictive response to therapy, in order to tailor the treatment on individual characteristics. Furthermore, the use of large databases is limited by their very nature, as data and not values, capable of threatening the validity and generalizability of the conclusions. Currently, for this reason, interventions on populations, subpopulations or groups are still fundamental, favoring, especially in the pharmacological field, the response of the "average patient", over the particular case. Therefore, it is essential to carry out methodologically robust, prospective studies of comparison between teams of doctors who use systems based on algorithms and teams that do not are using them, avoiding direct comparisons, less significant, between doctors and AI. Only in this case will technologies effectively applicable in real rather than experimental clinical contexts be implemented in the near future.The first of a series of four online meetings entitled "A&F CONNECTIONS. In practice and in response to Covid-19", as part of the EASY-NET network program on the topic of Audit & Feedback (A&F), was an opportunity to present and discuss the first results of a survey carried out by the area working on A&F, to describe the characteristics of A&F interventions in the EASY-NET context. A reflection on the preliminary results of the investigation and on the cultural dimension of the importance of creating a bridge between the world of clinicians and the world of epidemiology, for a real and virtuous exchange of information.One year after the beginning of the health and social emergency, the health system shows its strengths and weaknesses. Among these, inadequacy of facilities, deficiencies of continuity between hospital and territory, inconsistent information and lack of bidirectional communication between institutions and citizens, uncertainties of data about therapies and the emphasis given to the role of opinion leaders. To get out of the pandemic, a change of perspective is needed governments must not just support industrial investments but must they must encourage better and community-useful research and communication.This publisher's note corrects the name of an author of J. Opt. Soc. Am. A37, 1662 (2020)JOAOD60740-323210.1364/JOSAA.401153.Gamut mapping is an important part of the color reproduction pipeline. A color's appearance depends on the gamut achievable by the reproduction device (e.g., display, printer, etc.) or the reproduction material (e.g., plastics, paints, textiles, etc.). In the surface color industry, often a single color is managed such that, if it lies outside of the reproduction gamut, it would be mapped to a visually similar color on the boundary of the reproduction gamut using a gamut mapping algorithm. The algorithm's performance mainly depends on the uniformity of the working color space and/or selection of a focal point, inside the reproduction gamut, towards which the mapping line should be directed. Hitherto, the CIE standard color difference formula CIEDE2000 is the best known perceptual color difference metric for the standard dynamic range. In this paper, a method is proposed with the aim to achieve perceptually uniform mapping of a source color to the reproduction gamut using the CIEDE2000 as reference for uniformity.