21We statistically investigate the Coronavirus Disease 19 (hereinafter Covid-19) epidemics, which is 22 particularly invasive in Italy. We show that the high apparent mortality (or Case Fatality Ratio, 23 CFR) observed in Italy, as compared with other countries, is likely biased by a strong 24 underestimation of infected cases. To give a more realistic estimate of the mortality of Covid-19, 25we use the most recent estimates of the IFR (Infection Fatality Ratio) of epidemic, based on the 26 minimum observed CFR, and furthermore analyse data obtained from the ship Diamond Princess, a 27 good representation of a 'laboratory' case-study from an isolated system in which all the people 28 have been tested. From such analyses we derive more realistic estimates of the real extension of the 29 infection, as well as more accurate indicators of how fast the infection propagates. We then point 30 out from the various explanations proposed, the dominant factors causing such an abnormal 31 seriousness of the disease in Italy. Finally, we use the deceased data, the only ones estimated to be 32 reliable enough, to predict the total number of infected people and the interval of time when the 33 infection in Italy could stop.

We statistically investigate the Coronavirus Disease 19 (COVID-19) pandemic, which became particularly invasive in Italy in March 2020. We show that the high apparent lethality or case fatality ratio (CFR) observed in Italy, as compared with other countries, is likely biased by a strong underestimation of the number of infection cases. To give a more realistic estimate of the lethality of COVID-19, we use the actual (March 2020) estimates of the infection fatality ratio (IFR) of the pandemic based on the minimum observed CFR and analyze data obtained from the Diamond Princess cruise ship, a good representation of a “laboratory” case-study from an isolated system in which all the people have been tested. From such analyses, we derive more realistic estimates of the real extent of the infection as well as more accurate indicators of how fast the infection propagates. We then isolate the dominant factors causing the abnormal severity of the disease in Italy. Finally, we use the death count—the only data estimated to be reliable enough—to predict the total number of people infected and the interval of time when the infection in Italy could end.

Background: Knowledge of clinical course in advanced jejunoileal neuroendocrine tumors (NETs) is poor. Aim: To investigate progression-free survival (PFS), overall survival (OS), and possible predictors for disease progression (DP) in advanced jejunoileal NETs. Patients and Methods: We carried out a multicenter, retrospective analysis of incoming patients with sporadic advanced jejunoileal NETs. PFS and OS were assessed by Kaplan-Meier analysis. Risk factors for progression were analyzed by the Cox proportional hazards method. Results: Of the 114 patients enrolled, 46.5% had functioning tumors, 93.9% had stage IV disease, and 57.3 and 42.7% were G1 and G2 tumors, respectively. During a median follow-up of 48 months (interquartile range 29–84 months), DP occurred in 61.4% of patients, after 19 months (interquartile range 10–41 months) from diagnosis. Median PFS was 36 months. The 2-year and 5-year PFS were 59 and 33%, respectively, while 5-year OS was 77.5%. Ki67 was the sole strong independent risk factor for unfavorable outcome according to multivariate analysis, being significantly associated with both PFS and OS. Conclusions: DP occurred in the majority of patients with advanced jejunoileal NETs, with median PFS being 36 months. Ki67 was a significant predictor of DP and should be considered in determining appropriate treatments and planning follow-up for these patients.

Docetaxel/cisplatin/fluorouracil chemotherapy is promising in preoperative setting of locally advanced RGC. The early stopping could mask the real effectiveness of neoadjuvant treatment. However, the complete pathological tumour responses, feasibility, and safe surgery warrant further investigation of a taxane-based regimen in the preoperative setting.

The colon is a very rare metastatic localization. Here we report a case of colonic metastases from gastric adenocarcinoma whose clinical presentation was suggestive of a de novo adenocarcinoma of the ascending colon. The authors discuss that in the presence of a previous history of gastric cancer, immunohistochemical analysis on endoscopic biopsies may help in the definition of a differential diagnosis. Furthermore, this rare metastatic localization might suggest a poor prognosis and a more accurate diagnostic work-up.