TASK DEFINITION: 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.
PROBLEM: Interfacility ground critical care transport (CCT) of patients by ambulance may be stressful. This study evaluated whether playing music during CCT reduces patient anxiety and whether objective evidence is manifested by a change in vital signs.', 'Urban teaching hospital.', 'In this prospective cohort study, music was played for eligible adult patients during CCT while recording vital signs. A questionnaire was subsequently mailed to patients to rate whether the ambulance transport was stressful, the impact music had on transport, whether music changed their anxiety, whether music made them comfortable and relaxed, and whether they would prefer music to be played on future transports. Vital signs were compared between respondents who perceived transport as stressful and those who did not.', 'One hundred two patients were enrolled; 23 respondents (22.5%) constituted the study group. Four patients (17.4%) reported CCT as stressful (average response, 4.75). Nineteen (82.6%) rated CCT as not stressful (average response, 1.63). Subjectively, patients reported a positive impact of music on transport, with improved comfort and relaxation but only a minimal decrease in anxiety. No statistically significant change in vital signs was observed between cohorts; too few patients were enrolled to generate power to detect any difference.

SOLUTION: 0

PROBLEM: One-fifth of patients with seemingly 'curable' pancreatic ductal adenocarcinoma (PDA) experience an early recurrence and death, receiving no definable benefit from a major operation. Some patients with advanced stage tumors are deemed 'unresectable' by conventional staging criteria (e.g. liver metastasis), yet progress slowly. Effective biomarkers that stratify PDA based on biologic behavior are needed. To help researchers sort through the maze of biomarker data, a compendium of ∼2500 published candidate biomarkers in PDA was compiled (PLoS Med, 2009. 6(4) p. e1000046).", 'Building on this compendium, we constructed a survival tissue microarray (termed s-TMA) comprised of short-term (cancer-specific death <12 months, n\u200a=\u200a58) and long-term survivors (>30 months, n\u200a=\u200a79) who underwent resection for PDA (total, n\u200a=\u200a137). The s-TMA functions as a biological filter to identify bona fide prognostic markers associated with survival group extremes (at least 18 months separate survival groups). Based on a stringent selection process, 13 putative PDA biomarkers were identified from the public biomarker repository. Candidates were tested against the s-TMA by immunohistochemistry to identify the best markers of tumor biology. In a multivariate model, MUC1 (odds ratio, OR\u200a=\u200a28.95, 3+ vs. negative expression, p\u200a=\u200a0.004) and MSLN (OR\u200a=\u200a12.47, 3+ vs. negative expression, p\u200a=\u200a0.01) were highly predictive of early cancer-specific death. By comparison, pathologic factors (size, lymph node metastases, resection margin status, and grade) had ORs below three, and none reached statistical significance. ROC curves were used to compare the four pathologic prognostic features (ROC area\u200a=\u200a0.70) to three univariate molecular predictors (MUC1, MSLN, MUC2) of survival group (ROC area\u200a=\u200a0.80, p\u200a=\u200a0.07).

SOLUTION: 0

PROBLEM: The concept of ward culture has been proposed as a reason for the often reported differences in treatment decisions when managing inpatient aggression. We therefore studied whether staff on wards actually shares similar perceptions and attitudes about aggression and whether the specialty of the ward on which the staff members work influences these opinions.', "The Attitudes Towards Aggression Scale was used to assess attitudes towards aggression in 31 closed psychiatric wards. Altogether 487 staff members working on the study wards were asked to fill in the scale. Respondent's gender, age, educational level, working experience on the current ward, and specialty of this ward (acute, forensic, rehabilitation) served as background variables.", 'Most of the variance found was due to differences between individuals. Belonging to the personnel of a particular ward did not explain much of the variance.

SOLUTION:
0