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.

Ex Input:
Immunologic abnormalities have been found in bipolar disorder but pentraxin 3, a marker of innate immunity, has not been studied in this population.', 'Levels of pentraxin 3 were measured in individuals with bipolar disorder, schizophrenia, and non-psychiatric controls. Linear regression models were used to compare the pentraxin 3 levels in each of the psychiatric groups to that in the control group, adjusting for demographic and clinical variables. Logistic regression models were used to calculate the odds ratios associated with levels of pentraxin 3 which differed from specified levels of the control group.', 'The sample consisted of 831 individuals: 256 with bipolar disorder, 309 with schizophrenia, and 266 without a psychiatric disorder. The levels of pentraxin 3 in the bipolar disorder, but not in the schizophrenia, group were significantly lower than those of controls, adjusting for age, gender, race, maternal education, smoking status, and body mass index (t = -3.78, p < 0.001). The individuals with bipolar disorder also had significantly increased odds of having low levels of pentraxin 3 relative to both the 10th and 25th percentile level of the controls and significantly decreased odds of having a level greater than the 75th and the 90th percentile level of the controls, adjusting for the same covariates.

Ex Output:
Is pentraxin 3 reduced in bipolar disorder?


Ex Input:
The aim of this study was to prospectively evaluate the feasibility and potential advantages of freehand single-photon emission computed tomography (fhSPECT) compared with conventional intraoperative localization techniques for sentinel lymph node biopsy (SLNB) in oral cancer.', 'Between November 2012 and February 2014, 23 consecutive patients with clinical T1/T2 oral squamous cell carcinoma and a cN0 neck were recruited. All patients underwent SLNB followed by elective neck dissection (END). All patients received preoperative lymphoscintigraphy. To detect the SLNs intraoperatively, fhSPECT with a combination of conventional acoustic SLN localization and 3-D visual navigation was used.', 'All but one of the SLNs detected by preoperative imaging were successfully mapped intraoperatively by fhSPECT (detection rate 98%), including those in six patients with a tumour in the floor of the mouth. A histopathology analysis revealed positive SLNs in 22% of patients. No further metastases were found in LNs resected during END. SLNB correctly predicted the final LN stage in all patients (accuracy 100%). Additional radioactive LNs, which were not present on preoperative lymphoscintigraphy, were observed in three patients.

Ex Output:
Does intraoperative 3-D imaging improve sentinel lymph node biopsy in oral cancer?


Ex Input:
Gestational diabetes mellitus (GDM) may be an expression of early metabolic syndrome. It is unknown whether weight and/or glucose parameters assessed at GDM pregnancies predict the risk of metabolic syndrome at the early postpartum period.', 'A group of women with GDM (N=1512) was evaluated at 3-11 months postpartum. Incident cases of diabetes were excluded. Antenatal measurements of GDM severity, third-trimester average glycated hemoglobin levels, prepregnancy body mass index (BMI), and increased gestational weight gain were considered. The predictive capability of these factors for postpartum metabolic syndrome was estimated.', 'The prevalence of postpartum metabolic syndrome was 10.9%. The three most common features of metabolic syndrome were low levels of high-density lipoprotein cholesterol (31.2%), high fasting glucose values (23.5%), and a high waist circumference (22.8%). The main predictors of metabolic syndrome were overweight or obesity prepregnancy and high antenatal fasting glycemia. This analysis was adjusted for family history of diabetes, prior GDM, dyslipidemia before pregnancy, chronic arterial hypertension, age, and smoking. The model area 95% confidence interval under the receiver operating characteristic curve was 0.87 (0.84-0.90) for metabolic syndrome presence. The risk for metabolic syndrome was progressively increased as risk factors were added (P<0.001 for trend). When obesity and high fasting glycemia were combined, a multiplied effect ensued.

Ex Output:

Are prepregnancy body mass index and prenatal fasting glucose effective predictors of early postpartum metabolic syndrome in Spanish mothers with gestational diabetes?