Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.

Input: Consider Input: To determine the impact of the time interval from the end of sperm preparation (TSP) to intrauterine insemination (IUI) on the outcome.', 'Prospective multicentre cohort study.', 'Seven French centers (assisted reproduction group in northeastern France, four academic centers, and three clinics).', 'Eight hundred sixty-two IUI cycles (709 patients) managed by gonadotropins were studied.', 'Cycles were stimulated by either FSH or hMG, and hCG was administrated when the leading follicle diameter measured >15 mm. IUIs were performed ∼ 36 hours after ovulation triggering.', 'Generalized linear mixed models for binary outcomes were used to model clinical pregnancy (CP) to assess the effect of TSP adjusted for other predictors (such as maternal age, semen quality, and indication of IUI treatment).', 'The TSP effect was significant, featuring an inverse U-shaped curve admitting an optimum interval of ∼ 40-80 minutes improving CP compared with other values. Other significant predictors were total motile spermatozoa inseminated, maternal age, and unexplained infertility.

Output: Is clinical success of intrauterine insemination cycles affected by the sperm preparation time?


Input: Consider Input: Circulating adiponectins have multiple protective roles as anti-diabetic, anti-atherosclerotic, and anti-inflammatory factors. We examined the relationship between plasma adiponectin concentration and other cardiovascular risk in nondiabetic coronary artery disease (CAD) men and the relationship can be maintained even after adjusted for major environmental factors that contribute to adiponectin concentrations.', 'Nondiabetic CAD men (n=613) were 31-70 y and had body mass index (BMI) of 18.5-29.9 kg/m2.', "Circulating adiponectins positively correlated with age and negatively with BMI, waist circumference and % body fat (p-values of all <0.001). Plasma adiponectin concentrations were higher in never-smokers (5.07+/-0.30 microg/ml) than current (4.15+/-0.12 microg/ml) and ex-smokers (3.75+/-0.20 microg/ml) both before and after adjusted for age and adiposity (p=0.002 and p=0.008, respectively), however they were not significantly different according to alcohol drinking status. After adjusted for age, adiposity and cigarette smoking, plasma adiponectin still have positive correlations with HDL cholesterol, apolipoprotein AI and LDL particle size, and inversely with fasting triglyceride, atherogenic index, insulin resistance and C-reactive protein (CRP). However there was no significant relationships between adiponectin and apolipoprotein B, total cholesterol or LDL cholesterol. In subset analysis by tertile adiponectin concentrations (lowest: <2.92, moderate: 2.92<or=adiponectin<4.75, highest: >or=4.75 microg/ml), 'moderate' and 'highest' adiponectin groups had lower triglyceride (p<0.001), lower atherogenic index (p=0.001), lower fasting insulin (p=0.004), lower insulin resistance (p=0.001), lower CRP (p=0.001), higher HDL cholesterol (p<0.001), higher apolipoprotein AI (p=0.005) and higher LDL particle size (p<0.001) as compared with 'lowest' adiponectin group when adjusted for age, adiposity and cigarette smoking. Platelets were lower in 'highest' adiponectin groups as compared with 'lowest' and 'moderate' adiponectin group after the adjustment. However, there was no significant difference in total cholesterol (p=0.145), LDL cholesterol (p=0.145), apolipoprotein B (p=0.222) and fasting glucose (p=0.157).

Output: Is plasma adiponectin related to other cardiovascular risk factors in nondiabetic Korean men with CAD , independent of adiposity and cigarette smoking : cross-sectional analysis?


Input: Consider Input: miR-1290 is a newly discovered microRNA (miRNA), and its role in non-small cell lung cancer (NSCLC) remains unknown. This study aimed to evaluate the expression levels of miR-1290 in NSCLC tissues and serum, and explore its associations with clinicopathological characteristics and prognosis of NSCLC patients.', 'A total of 33 pairs of tissues and 73 serum samples were obtained from NSCLC patients and expression levels of miR-1290 were detected by specific TaqMan qRT-PCR. The relationship between miR-1290 expression levels in NSCLC tissues and serum and clinicopathological characteristics was estimated respectively. The correlation between serum miR-1290 expression levels and overall survival of NSCLC patients was performed by Kaplan-Meier analysis and Cox proportional hazards model.', 'We determined that miR-1290 expression levels were increased significantly in NSCLC tissues compared with non-tumor adjacent normal tissues, and higher miR-1290 expression levels were positively correlated with high tumor stage (P=0.004) and positive lymph node metastasis (P=0.013). Compared with benign lung disease and healthy controls, serum levels of NSCLC patients exhibited higher expression of miR-1290. Furthermore, the up-regulation of serum miR-1290 more frequently occurred in NSCLC patients with high TNM stage, positive lymph node metastasis (P=0.022 and P=0.024, respectively). Kaplan-Meier analysis demonstrated that high serum miR-1290 expression levels predicted poor survival (P=0.022). Cox proportional hazards risk analysis indicated that miR-1290 was an independent prognostic factor for NSCLC.


Output: Is miR-1290 a potential prognostic biomarker in non-small cell lung cancer?