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.

Ex Input:
Cirrhotic patients undergoing transjugular intrahepatic portosystemic shunt (TIPS) for refractory ascites or recurrent variceal bleeding are at risk for decompensation and death. This study examined whether a new model for end stage liver disease (MELD), which incorporates serum sodium (MELDNa), is a better predictor of death or transplant after TIPS than the original MELD.', "One hundred forty-eight consecutive patients undergoing nonemergent TIPS for refractory ascites or recurrent variceal bleeding from 1997 to 2006 at a single center were evaluated retrospectively. Cox model analysis was performed with death or transplant within 6 months as the end point. The models were compared using the Harrell's C index. Recursive partitioning determined the optimal MELDNa cutoff to maximize the risk:benefit ratio of TIPS.", 'The predictive ability of MELDNa was superior to MELD, particularly in patients with low MELD scores. The C indices (95% confidence interval [CI]) for MELDNa and MELD were 0.65 (95% CI, 0.55-0.71) and 0.58 (95% CI, 0.51-0.67) using a cut-off score of 18, and 0.72 (95% CI, 0.60-0.85) and 0.62 (95% CI, 0.49-0.74) using a cut-off score of 15. Using a MELDNa >15, 22% of patients were reclassified to a higher risk with an event rate of 44% compared with 10% when the score was <or=15.

Ex Output:
1

Ex Input:
Genetic factors are reported to affect fracture incidence. Many groups have explored the correlation of fracture risk with ESR1 IVS1-397T>C. The observed associations, however, are largely inconsistent. This meta-analysis of data from early-released studies was performed in an effort to determine the role of IVS1-397T>C in fracture.', 'Relevant studies were searched through Pubmed, Embase, ScienceDirect, and Wiley Online Library databases. 16 studies meeting all selection criteria were finally identified. We calculated ORs with 95% CIs to assess risk of fracture. Subgroup analyses were performed by subtype, ethnicity and gender.', 'Data on 2916 cases and 19170 controls were analyzed in the meta-analysis. Overall, we found moderately decreased risk in association with IVS1-397 CC genotype (OR = 0.82, 95% CI = 0.73-0.92; OR = 0.84, 95% CI = 0.76-0.94). The decrease persisted in both hip fracture (OR = 0.82, 95% CI = 0.71-0.94; OR = 0.83, 95% CI = 0.73-0.94) and vertebral fracture (OR = 0.67, 95% CI = 0.50-0.91; OR = 0.78, 95% CI = 0.64-0.97; OR = 0.82, 95% CI = 0.68-0.98) when data were stratified by subtype. We also found a significant trend of decreasing risk in relation to the CC genotype in Caucasian, male and female. All fixed-effects meta-analysis results were homogeneous.

Ex Output:
0

Ex Input:
Exclusion of macroprolactinaemia, a well-recognised interference, as the cause of hyperprolactinaemia is essential to avoid potential misdiagnosis and mismanagement of patients. We have derived gender-specific serum total and post-polyethylene glycol (PEG) precipitation monomeric reference ranges for the recently re-standardised Abbott Architect prolactin assay.', "Prolactin was measured in serum samples obtained from males (n=49) and females (n=52) using the current Abbott Architect immunoassay pre- and post-PEG precipitation. Gender-specific reference ranges were derived for total and monomeric (post-PEG) prolactin. Routine patients' samples (n=175) with a serum total prolactin >700 mIU/L were screened for macroprolactinaemia to assess classification compared with our previous post-PEG precipitation percentage recovery-based approach.", "Reference ranges for serum total prolactin were 58-419 mIU/L (male) and 63-561 mIU/L (female). Male and female monomeric prolactin reference ranges were 32-309 mIU/L and 39-422 mIU/L, respectively. Mean (SD) post-PEG percentage recovery of the IS 84/500 prolactin standard was 80 (2.3)%. Of 175 patients' samples screened for macroprolactinaemia, 149 had monomeric prolactin concentrations (median monomeric prolactin=1035 mIU/L; median recovery=83%) above the gender-specific reference range. Monomeric prolactin concentrations (median monomeric prolactin=162 mIU/L; median recovery=20%) in the remaining 26 were within the reference ranges. One patient classified as macroprolactin positive and another classified as macroprolactin negative would not have been identified as such using the previous recovery-based approach.

Ex Output:
0