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:
Several criteria for treatment response to interferon beta (IFNbeta) have been proposed, although there is no consensus among different investigators. Hence, the aim of this study was to investigate magnetic resonance imaging (MRI) and clinical predictors of response during the first 12 months of therapy.', 'This is a prospective and longitudinal study of relapsing-remitting multiple sclerosis (RRMS) patients treated with IFNbeta. Patients were classified based on the presence of new lesions on MRI, relapses, confirmed disability increase, or combinations of all these variables after 1 year of therapy. Regression analysis was performed in order to identify variables of response after a follow-up of 3 years.', 'We included 222 RRMS patients. The logistic model demonstrated that only the combination of new active lesions on MRI with the presence of relapses (OR 4.4; 95% CI 1.6-12.5) or disability progression (Odds Ratio (OR) 7.1; 95% Confidence Interval (CI) 1.6-33.9), or both (OR 6.5; 95% CI 1.9-23.4) achieved significant values to identify those patients with a poor outcome.

Ex Output:
1

Ex Input:
Alterations of fibroblast growth factors (FGFs) and their receptors contribute to prostate cancer progression by enhancing cellular proliferation, survival, and motility. The Sprouty gene family negatively regulates FGF signaling and may limit the ability of FGFs to enhance tumor progression. Sprouty1 is down regulated in human prostate cancers and Sprouty1 expression can markedly inhibit prostate cancer proliferation in vitro. Sprouty4 has been shown to negatively regulate both proliferation and cell migration in other systems. We therefore examined whether Sprouty4 expression was altered in prostate cancer.', 'Expression of Sprouty4 was examined by in situ hybridization and quantitative RT-PCR. Methylation of the Sprouty4 gene promoter was assessed using bisulfite modification and sequencing. The effect of Sprouty4 expression on cell migration was determined using an in vitro wounding assay.', "By in situ hybridization Sprouty4 is expressed in normal prostatic epithelial cells and is decreased in a subset of prostate cancers. Quantitative RT-PCR confirms that Sprouty4 expression is decreased in approximately one half of prostate cancers. Analysis of the 5'-regulatory region revealed a CpG island approximately 1 kb upstream of the transcription initiation site, the proximal portion of which was preferentially methylated in prostate cancer tissues. More than one half of all prostate cancer DNAs were methylated in this region and methylation was significantly correlated with decreased Sprouty4 expression as determined by quantitative RT-PCR. When overexpressed in prostate cancer cell lines, Sprouty4 did not inhibit cell proliferation but did inhibit cell migration.

Ex Output:
1

Ex Input:
Asymptomatic prostatic inflammation may cause increased PSA in some men, leading to unnecessary prostate biopsy. We investigated whether the differential white cell count could predict the result of prostate biopsy.', 'Prostate needle biopsy was carried out in 323 Japanese men with elevated PSA levels or abnormal digital rectal findings. White blood cell count (WBC), differential white cell count (neutrophils, lymphocytes, basophils, eosinophils, and monocytes), and serum C-reactive protein level were assessed for associations with biopsy findings.', 'In all, 203 (62.1%) were positive for prostate cancer. WBC, neutrophil count, age, PSA, prostate volume, and PSA density (PSAD) were associated with the results of biopsy (P<0.05). Multivariate analysis showed that neutrophil count, age, PSA, prostate volume and PSAD were independent predictors. When the cut-off neutrophil count was set at 2900l(-1), 78 of 104 men (75.0%) with a count below this value had a positive biopsy, while 125 of 219 (57.0%) men with a count above this value were positive. The area under the receiver-operator characteristics curve (AUC) for the predicted probability of a positive biopsy for prostate cancer according to the optimum logistic model was 0.83 (95% confidence interval (CI) 0.78-0.87), while the AUC for PSA was 0.70 (95% CI 0.64-0.76) and that for PSAD was 0.79 (95% CI 0.74-0.84).

Ex Output:
0