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.

Context: Interobserver and intraobserver reliability study of improved method to evaluate radiographs of patients with scoliosis.', 'To determine the reliability of a computer-assisted measurement protocol for evaluating Cobb angle and King et al classification.', 'Evaluation of scoliosis radiographs is inherently unreliable because of technical and human judgmental errors. Objective, computer-assisted evaluation tools may improve reliability.', 'Posteroanterior preoperative radiographic images of 27 patients with adolescent idiopathic scoliosis were each displayed on a computer screen. They were marked 3 times in random sequence by each of 5 evaluators (observers) who marked 70 standardized points on the vertebrae and sacrum in each radiograph. A computer program (Spine 2002;27:2801-5) that identified curves, calculated Cobb angles, and generated the King et al classification automatically analyzed coordinates of these points. The interobserver and intraobserver variability of the Cobb angle and King et al classification evaluations were quantified and compared with values obtained by unassisted observers.', 'Average Cobb angle intraobserver standard deviation was 2.0 degrees for both the thoracic and lumbar curves (range 0.1 to 8.3 degrees for different curves). Interobserver reliability was 2.5 degrees for thoracic curves and 2.6 degrees for lumbar curves. Among the 5 observers, there was an inverse relationship between repeatability and time spent marking images, and no correlation with image quality or curve magnitude. Kappa values for the variability of the King et al classification averaged 0.85 (intraobserver).\Question: Do computer-assisted algorithms improve reliability of King classification and Cobb angle measurement of scoliosis?
Variability of Cobb measurements compares favorably with previously published series. The classification was more reliable than achieved by unassisted observers evaluating the same radiographs. The same principles may be applicable to other radiographic measurement and evaluation procedures.

Context: Dipeptidyl peptidase-4 (DPP4) was recently proposed as a novel adipokine linked to insulin resistance (IR). As IR represents a cluster of disorders in hepatic and muscle cell insulin signalisation, we aimed to assess the possible correlation between fasting serum DPP4 activity, IR and liver enzymes in order to elucidate the question of hepatic contribution to serum DPP4 activity.', 'This cross-sectional study comprised 44 T1DM patients aged 18 to 65years. IR was estimated using the equation derived from euglycemic-hyperinsulinemic clamp studies-estimated glucose disposal rate (eGDR). DPP4 serum activity was determined spectrophotometrically as a rate of cleavage of 7-amino-4-methyl coumarin (AMC) from H-Gly-Pro-AMC. The patients were divided into two groups according to the mean value of fasting serum DPP4 activity (31.42U/L).', 'The group with lower fasting serum DPP4 activity had lower mean rate of liver biomarkers alanine aminotransferase (ALT) (p=0.001) and aspartate aminotransferase (AST) (p=0.002) while higher eGDR (p=0.003) compared to group with higher DPP4 activity. DPP4 activity showed positive correlation with AST (r=0.358, p=0.017) and ALT (r=0.364, p=0.015) while negative correlation with eGDR (r=-0.612, p<0.001). ALT remained positively associated with fasting serum DPP4 activity after controlling for age, gender, diabetes duration, the use of statins and antihypertensives (p=0.025).\Question: Is fasting serum dipeptidyl peptidase-4 activity independently associated with alanine aminotransferase in type 1 diabetic patients?
Fasting serum DPP4 activity might be associated with hepatic IR in T1DM patients and a part of soluble DPP4 activity might be of a hepatic origin. Further study investigation is warranted to elucidate this topic.

Context: Incidence of renal cell carcinoma (RCC) is higher in Black patients with disease-specific and overall survival being lower compared with White patients even though renal tumors among Black patients are more likely to be localized. These disparities have been attributed to higher rates of obesity and hypertension, lower rates of nephrectomy, and a lack of access to quality health care. With scant genomic evidence to account for these disparities, the present study sought to compare BAP1 expression between Black and White patients with clear cell RCC (ccRCC); a gene that inhibits tumor progression when overexpressed and results in poor clinical outcomes when silenced.', 'The cancer genome atlas dataset was used to identify 58 (9.9%) Black and 529 (90.9%) White patients with ccRCC with an initial pathologic diagnosis from 1998 to 2013. BAP1 expression was compared using a Mann-Whitney U test. The association between BAP1 expression and pathologic stage, American Joint Committee on Cancer (AJCC) stage, and Fuhrman grade was assessed for the overall cohort and stratified by race. The association between BAP1 expression and overall survival was assessed using Cox proportion hazards models adjusting for Fuhrman grade, pathologic stage, and the presence of pathologic metastases for the overall cohort and stratified by race.', 'The level of BAP1 expression was significantly higher in Black vs. White patients with ccRCC (10.5 vs. 10.3; P<.001). For the overall cohort, increasing BAP1 expression was associated with decreasing pathologic stage (β =-0.25, P = .004) and decreasing AJCC stage (β =-0.029, P = .006). For Black patients, increasing BAP1 expression was associated with decreasing AJCC stage (β =-0.79, P = .016), decreasing Fuhrman grade (β =-0.55, P = .011), and a decreased risk of pathologic metastases (odds ratio [OR] = 0.83, P = .038). For White patients, increasing BAP1 expression was associated with decreasing pathologic stage (β =-0.20, P = .026).\Question: Is bAP1 overexpressed in black compared with white patients with Mx-M1 clear cell renal cell carcinoma : A report from the cancer genome atlas?

BAP1 is significantly overexpressed in Black compared with White patients and is associated with favorable stage. BAP1 overexpression portends distinct pathologic outcomes in Black and White patients demonstrating the need for racial stratification and adequate Black patient sampling in BAP1 biomarker studies.