Given a passage classify if the passage has a definite objective/aim/goal or not. Output '1' if the passage has a defininte objective/aim/goal and output '0' if the passage does not have a definite objective/aim/goal.

[Q]: To analyze whether peroxisome proliferator-activated receptor gamma (PPARγ2) rs1801282 (Pro12Ala) polymorphism is associated with the response to pegylated-interferon-alpha plus ribavirin treatment in HIV/hepatitis C virus (HCV)-coinfected patients, and whether it is able to predict the outcome of HCV treatment.', 'Retrospective follow-up study.', 'Two hundred eighty-five naive patients, who started HCV-treatment, were genotyped for PPARγ2 and interleukin 28B polymorphisms. Genetic data were analyzed under dominant inheritance model. Sustained virological response (SVR) was defined as undetectable HCV viremia through 24 weeks after the end of HCV treatment.', 'The variables significantly associated with SVR in a multivariate analysis were HCV-genotype (GT) 3 {adjusted odds ratio [aOR] = 7.66 [95% of confidence interval (95% CI): 3.96 to 14.81] P < 0.001}, HCV-viremia <500,000 IU/mL [aOR = 2.20 (95% CI: 1.16 to 4.15] P = 0.015), no/mild liver fibrosis (F < 2) [aOR = 1.92 (95% CI: 1.08 to 3.42) P = 0.026], IL28B rs12980275 AA genotype [aOR = 2.70 (95% CI: 1.54 to 4.71) P < 0.001], and PPARγ2 rs1801282 CG/GG genotype [aOR = 2.93 (95% CI: 1.27 to 6.72) P = 0.011]. When PPARγ2 rs1801282 genotype was included in a decision tree analysis, HCV-GT3 patients with CG/GG genotype had increased SVR from 80.3% to 100%. In GT1/4 patients, rs12980275 AA carriers had increased SVR from 58.7% to 78.6%, and rs12980275 AG/GG carriers had increased SVR from 28.7% to 35.7%. The overall percentage of patients correctly classified was 71.6% and the area under the receiver operating characteristic curves was 0.766 ± 0.028.
[A]: 1


[Q]: Morbidly obese patients usually present vitamin D deficiency or secondary hyperparathyroidism. Low vitamin D levels have been recently related to non-alcoholic fatty liver disease (NAFLD). The aim of this study was to analyse the relationship between vitamin D, bone turnover markers and non-alcoholic fatty liver disease and metabolic syndrome in severely obese patients.', 'One hundred and ten patients who underwent bariatric surgery were included. Liver biopsy was taken during surgery. Two univariate analyses were carried out in order to i) analyse the relationship between liver histology and vitamin D-bone turnover markers (intact parathyroid hormone (PTH), osteocalcin and Carboxy-terminal collagen crosslinks) and ii) establish the association between metabolic syndrome components-insulin resistance (HOMA) and vitamin D-bone turnover markers.', '70% of the patients had lower levels of vitamin D or secondary hyperparathyroidism. None of the components of liver histology were associated with levels of vitamin D or with bone turnover parameters. Patients with metabolic syndrome showed lower levels of PTH and osteocalcin (72,42 (29,47) vs 61.25(19.59) p-Value: 0.022; 19.79 (10.43) vs 16.87(10.25) p-Value: 0,028, respectively). HOMA was not related to Vitamin D or bone turnover markers.
[A]: 0


[Q]: A computerized physician order entry (CPOE) system with embedded clinical decision support can reduce medication errors in hospitals, but might increase the time taken to generate orders.', 'We aimed to quantify the effects of temporal (month, day of week, hour of shift) and other factors (grade of doctor, prior experience with the system, alert characteristics, and shift type) on the time taken to generate a prescription order.', 'A large university teaching hospital using a locally developed CPOE system with an extensive audit database.', 'We retrospectively analyzed prescription orders from the audit database between August 2011 and July 2012.', 'The geometric mean time taken to generate a prescription order within the CPOE system was 11.75\u2005s (95% CI 11.72 to 11.78). Time to prescribe was most affected by the display of high-level (24.59\u2005s (24.43 to 24.76); p<0.001) or previously unseen (18.87\u2005s (18.78 to 18.96); p<0.001) alerts. Prescribers took significantly less time at weekends (11.29\u2005s (11.23 to 11.35)) than on weekdays (11.88\u2005s (11.84 to 11.91); p<0.001), in the first (11.25\u2005s (11.16 to 11.34); p<0.001) and final (11.56\u2005s (11.47 to 11.66); p<0.001) hour of their shifts, and after the first month of using the system.
[A]:
1