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: To assess the ability of an adult risk screening questionnaire (RSQ), previously shown to predict attendance at hospital emergency departments, to identify impaired quality of life in adult patients with asthma in general practice.', 'Baseline data from an RCT of asthma clinics in general practice, using the St. George Respiratory Questionnaire (SGRQ) to measure quality of life.', 'Twelve general practices in Adelaide, Australia.', 'A total of 184 adult asthmatics were recruited, with a mean (standard deviation) age of 50.3 years (16.6 years). Age, gender, weight, number of comorbidities, smoking status, FEV1 and percent predicted FEV1 (pre-and post-bronchodilator), peak flow (pre and post), and RSQ were independently related to SGRQ scores. After adjusting for potential confounders, an RSQ score predictive of hospital attendance was also associated with an average increase (worsening) in SGRQ total score of 11.9 (95% CI: 7.6, 16.3), an average increase in activity score of 9.0 (2.5, 15.5), symptom score of 14.8 (8.6, 21.0), and impact score of 13.1 (8.6, 17.6). These represent clinically significant differences.\Question: Does hospital attendance prediction tool also identify impaired quality of life in adults with asthma in general practice?

Output: An RSQ score predictive of hospital attendance should alert the general practitioner to explore and address symptom, activity, and impact domains associated with impaired quality of life in adult asthma.

Input: Consider Input: Context: Diffuse temporal lobe abnormalities can be observed on MRI of patients with mesial temporal lobe epilepsy (MTLE). Our objective was to perform qualitative and quantitative analyses of temporal lobe structures in patients with familial MTLE (FMTLE) and nonfamilial MTLE.', 'Two groups of patients were ascertained: 67 FMTLE patients (14 with refractory seizures) and 30 patients with nonfamilial refractory MTLE. We performed qualitative analyses of MRI (with multiplanar reconstruction) and volumes of hippocampi and anterior temporal lobes in all patients, and in a normal control group of 23 individuals. We used the Chi-square test and ANOVA for statistical analyses.', 'We identified anterior temporal lobe abnormalities by visual analysis in only 4% of FMTLE patients and atrophy of the anterior temporal lobe by volumetric analysis in 19%. In the group of nonfamilial MTLE patients we found anterior temporal lobe abnormalities by visual analysis in 17% of patients and anterior temporal lobe atrophy in 13%. Hippocampal atrophy was present in 90% of FMTLE and in 83% of nonfamilial MTLE. No signs of cortical dysplasia were observed.\Question: Are structural abnormalities similar in familial and nonfamilial mesial temporal lobe epilepsy?

Output: Anterior temporal lobe atrophy and other abnormalities outside the mesial portion of temporal lobes were infrequent in both familial and nonfamilial MTLE patients. Despite the genetic basis, hippocampal atrophy in FMTLE is not associated with other abnormalities outside the mesial temporal regions.

Input: Consider Input: Context: As HPV-induced cases of oral malignancy increase, it is important to understand the molecular differences between HPV positive and negative head and neck squamous cell carcinoma (HNSCC). PIWI-interacting RNAs (piRNAs) are a class of small non-coding RNAs aberrantly expressed in cancer. We analyzed global piRNA expression patterns to define the HNSCC piRNA transcriptome and assess whether HPV infection status associates with changes in piRNA levels.', 'A total of 498 HNSCC small RNA sequencing libraries were acquired from the Cancer Genomics Hub (cgHUB) Data Repository and a custom sequence analysis pipeline was developed to deduce piRNA expression from raw sequencing data. Expression matrices were aligned to clinicopathological features in order to analyze piRNA expression patterns across different HNSCC groups. The association of a piRNA signature with HPV-positive patient survival was evaluated using a Cox proportional hazard model.', 'Analysis of piRNA levels between HNSCC and non-malignant tissues revealed distinct expression patterns, with 87 piRNAs exclusively expressed in tumor samples. HPV infection status affected the expression of 41 of these piRNAs. Eleven (26.8%) piRNAs were significantly downregulated in HPV16/18 tumors compared to other HPV types. Remarkably, expression of a combination of five-piRNAs in HPV-positive HNSCC tumors was associated with worse overall survival.\Question: Is hPV status associated with altered PIWI-interacting RNA expression pattern in head and neck cancer?
Output: The expression of specific piRNAs is deregulated in HNSCC, and changes with both HPV status and type. Importantly, a five-piRNA signature is able to delineate a subset of HPV-positive HNSCC patients with poor outcome, highlighting the potential utility of piRNAs in patient management.