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 identify molecular features associated with clinico-pathological parameters in renal cell cancer.', 'Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging was employed for a kidney cancer tissue microarray containing tissue samples from 789 patients for which clinical follow-up data were available.', 'A comparison of mass spectrometric signals with clinico-pathological features revealed significant differences between papillary and clear cell renal cell cancer. Within the subgroup of clear cell RCC, statistical associations with tumor stage (seven signals, p<0.01 each), Fuhrman grade (seven signals, p<0.0001 each), and presence of lymph node metastases (10 signals, p<0.01 each) were found. In addition, the presence of one signal was significantly linked to shortened patient survival (p=0.0198).\Question: Does mALDI imaging on tissue microarrays identify molecular features associated with renal cell cancer phenotype?

Output: Our data pinpoint towards various molecules with potential relevance in renal cell cancer. They also demonstrate that the combination of the MALDI mass spectrometry imaging and large-scale tissue microarray platforms represents a powerful approach to identify clinically-relevant molecular cancer features.


Input: Consider Input: Context: Women with Turner syndrome (TS) have an increased prevalence of hearing loss, with conductive (CHL) and sensorineural (SNHL) components. The association between hearing loss and clinical parameters, particularly oestrogen and previous growth hormone (GH) treatment, was investigated.', 'A cross-sectional study of pure tone audiometry tests in an adult TS population. Previous ENT history, karyotype, anthropomorphic measurements and the impact of oestrogen and childhood GH therapy were assessed. One hundred and thirty-eight women (median age 29, range 16-67 years) completed the study.', 'Normal hearing was found in 20.3% of women, CHL in 18.8%, SNHL in 57.2% and confounding factors in 3.6%. Neither CHL nor SNHL were associated with oestrogen deficiency or GH treatment independent of age. CHL but not SNHL was more common in those with a history of recurrent otitis media (p < 0.01) and monosomy 45,X (p < 0.01).\Question: Are oestrogen deficiency and growth hormone treatment in childhood associated with hearing in adults with turner syndrome?

Output: Current regimens of oestrogen and GH therapy have no impact on adult hearing loss in TS, independent of age. The prevalence of SNHL increases with age. CHL but not SNHL is associated with ENT history and karyotype. According to present evidence, the only possible intervention to reduce hearing loss in women with TS remains assiduous treatment of ENT problems in childhood.


Input: Consider Input: Context: Within pediatric diabetes management, two electronic measures of adherence exist: frequency of daily blood glucose monitoring (BGM) and the BOLUS score, a measure of frequency of mealtime insulin bolusing. Past research has demonstrated that the BOLUS score is superior to daily BGM in predicting youths' glycated hemoglobin (HbA1c) in a cross-sectional study. We present data comparing the two adherence measures in predicting HbA1c using a prospective, longitudinal design.", "Blood glucose meter data and insulin pump records were collected from a clinical database of 175 youths with type 1 diabetes (mean age, 11.7 ± 3.6 years at baseline). Youths' HbA1c levels occurring at the download time and at 3, 6, 9, and 12 months post-downloads were also collected. We calculated youths' mean BGM and BOLUS score using a standardized protocol.", "Intraclass correlations (ICCs) revealed significant absolute equivalence between youths' predicted HbA1c values using BOLUS and BGM scores and future actual HbA1c values up to 12 months post-download. However, the ICCs of BOLUS scores with future HbA1c values were consistently higher than those of the BGM scores. Also, the predictions of the BOLUS scores were significantly more accurate (P ≤ 0.002) than those of the BGM scores based on the root mean squared error of predictions.\Question: Does frequency of mealtime insulin bolus predict glycated hemoglobin in youths with type 1 diabetes?


Output: In a prospective, longitudinal design, youths' BOLUS scores were superior to youths' daily BGM in predicting future values of HbA1c. Calculating a BOLUS score versus BGM can help researchers and clinicians achieve a better prediction of youths' HbA1c.