In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.

Input: Consider Input: Context: It is common in public health and epidemiology that the outcome of interest is counts of events occurrence. Analysing these data using classical linear models is mostly inappropriate, even after transformation of outcome variables due to overdispersion. Zero-adjusted mixture count models such as zero-inflated and hurdle count models are applied to count data when over-dispersion and excess zeros exist. Main objective of the current paper is to apply such models to analyse risk factors associated with human helminths (S. haematobium) particularly in a case where there's a high proportion of zero counts.", 'The data were collected during a community-based randomised control trial assessing the impact of mass drug administration (MDA) with praziquantel in Malawi, and a school-based cross sectional epidemiology survey in Zambia. Count data models including traditional (Poisson and negative binomial) models, zero modified models (zero inflated Poisson and zero inflated negative binomial) and hurdle models (Poisson logit hurdle and negative binomial logit hurdle) were fitted and compared.', 'Using Akaike information criteria (AIC), the negative binomial logit hurdle (NBLH) and zero inflated negative binomial (ZINB) showed best performance in both datasets. With regards to zero count capturing, these models performed better than other models.\Question: Do zero adjusted models with applications to analysing helminths count data?

Output: This paper showed that zero modified NBLH and ZINB models are more appropriate methods for the analysis of data with excess zeros. The choice between the hurdle and zero-inflated models should be based on the aim and endpoints of the study.


Input: Consider Input: Context: Sepsis is an emergency condition with high mortality and morbidity rate. There are limited data on the association of cancer as a risk factor for mortality in sepsis patients in the emergency department (ED).', 'This retrospective study was conducted at the ED, Faculty of Medicine, Ramathibodi Hospital, Bangkok, Thailand. The study period was between January 1st and December 31st, 2014. The inclusion criteria were as follows: adult patients over 15 years of age who presented at the ED with suspicion of sepsis, received treatment at the ED, and whose blood culture was found to be positive. Clinical data were recorded from medical records including the Mortality in Emergency Department Sepsis score (MEDS score). The primary outcome of this study was mortality at one month. Multivariate logistic regression analysis was used to identify independent factors associated with death.', 'During the study period, there were 775 eligible patients. The two most common pathogens identified from blood cultures were Staphylococcus aureus (193 patients; 24.9%) and Escherichia coli (158 patients; 20.4%). At one month after presenting at the ED, 110 patients (14.2%) had died. There were four significant factors for death, having cancer, being on an endotracheal tube, initial diagnosis of bacteremia, and high MED scores. Having cancer had an adjusted OR of 2.12 (95% CI of 1.29, 3.47).\Question: Do cancer Patients Are at High Risk of Mortality if Presenting with Sepsis at an Emergency Department?

Output: Cancer patients have double the risk of mortality if presenting with sepsis at the ED.


Input: Consider Input: Context: FoxO transcription factors have been reported to play pivotal roles in tumorigenesis and drug resistance. The mechanisms underlying the tumor suppression function of FoxOs in human cancers remain largely unknown. Aberrant expression and activation of Nrf2 often correlate with chemoresistance and poor prognosis. Here, we report that FoxO3 directs the basal transcription of Kelch-like ECH-associated protein 1 (Keap1), an adaptor protein that bridges Nrf2 to Cul3 for degradation. FoxO3 depletion resulted in Keap1 down-regulation, thereby activating Nrf2 signaling. We further demonstrated that inhibition of the FoxO3-Keap1 axis accounts for Nrf2 induction and activation induced by constitutively active AKT signaling or tumor necrosis factor α treatment. Unlike previous findings, FoxO3 silencing led to decreased reactive oxygen species production, therefore protecting cells from oxidative stress-induced killing in an Nrf2-dependent manner. Importantly, FoxO3 deficiency strongly potentiated tumor formation in nude mice and rendered cholangiocarcinoma xenografts resistant to cisplatin-induced cell death by activating Nrf2. Additionally, we found that clinical cholangiocarcinoma samples displayed FoxO3-Keap1 down-regulation and Nrf2 hyperactivation, underscoring the essential roles of these proteins in cholangiocarcinoma development.\Question: Does foxO3 inactivation promote human cholangiocarcinoma tumorigenesis and chemoresistance through Keap1-Nrf2 signaling?


Output: Our results unravel a unique mechanism underlying the tumor suppressor function of FoxO3 through constraining Nrf2 signaling. (Hepatology 2016;63:1914-1927).