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.

Example Input: The Cochrane Central Register of Controlled Trials, PubMed Medline and Latin American and Caribbean Health Science literature databases were searched, and searches made by hand of identified papers, to source relevant data. (BIOSIS Previews) were searched. There were no language restrictions.', 'Studies were evaluated by two reviewers independently. Only clinical trials were included that were published in the English, Spanish and Portuguese languages and were performed on humans. Articles were excluded when the examiners were not calibrated; when they did not compare manual and electronic probing techniques; when they did not measure the clinical attachment level (CAL); and when the subjects did not present destructive periodontal disease or had already received periodontal treatment.', 'The quality of the identified studies was assessed and standardised data extracted. Only two studies met all the selection criteria so no meta-analysis was performed.', 'Only two of the 37 identified articles were included in the review. The results of these two studies showed that the mean variance and the absolute mean difference between CAL measurements for the two types of probes were not statistically different.
Example Output: Do manual and electronic probes have similar reliability in the measurement of untreated periodontitis?

Example Input: Obese patients with idiopathic pulmonary fibrosis (IPF) have higher 90-day mortality after lung transplantation. We sought to determine whether body mass index (BMI) differentially modified the effect of transplant procedure type on 90-day mortality in IPF patients.', 'We analyzed data from the Organ Procurement and Transplantation Network (OPTN) for all patients with IPF who were transplanted between 2000 and 2010. Post-transplant survival was examined using Kaplan-Meier estimates. Multivariable logistic regression modeling was used to determine the difference in 90-day survival. The primary variable of interest was the interaction term between body mass index (BMI) and transplant type.', 'A total of 3,389 (58% single-lung transplant [SLT] and 42% bilateral lung transplant [BLT]) subjects were included. Multivariable logistic regression modeling demonstrated a statistically significant interaction between BMI and transplant type (p = 0.047). Patients with a BMI > 30 kg/m(2) who received a BLT are 1.71 times (95% CI [1.03 to 2.85], p = 0.038) more likely to die within 90 days than BLT recipients with a BMI of 18.5 to 30 kg/m(2).
Example Output: Do obese patients with idiopathic pulmonary fibrosis have a higher 90-day mortality risk with bilateral lung transplantation?

Example Input: To examine whether total and abdominal adiposity are risk factors for the development of chronic heart failure (CHF) in older men and women.', 'Prospective, longitudinal cohort: The Health, Aging and Body Composition study.', 'Memphis, Tennessee, and Pittsburgh, Pennsylvania, metropolitan areas.', 'Three thousand seventy-five well-functioning community-dwelling older adults aged 70 to 79.', 'Body composition using dual energy X-ray absorptiometry, visceral adipose tissue area using computed tomography, adjudicated CHF.', 'Of the remaining (640 participants excluded from original group of 3,075) 2,435 participants (1,081 men, 1,354 women) without coronary heart disease or CHF at baseline, there were 166 confirmed diagnoses of CHF during the median+/-standard deviation (SD) follow-up of 6.1+/-1.4 years. After adjustment for age, race, sex, site, education, smoking, and chronic obstructive pulmonary disorder, all adiposity variables (body mass index (BMI), adipose tissue mass, percentage body fat, waist-to-thigh ratio, waist circumference, and visceral and subcutaneous abdominal adipose tissue) were significant predictors of the development of CHF. In a model that included waist circumference and BMI, waist circumference was associated with incident CHF (hazard ratio (HR)=1.27, 95% confidence interval (CI)=1.04-1.54 per SD increase, P=.02), but BMI was not (HR=1.08, 95% CI=0.86-1.35). When waist circumference and percentage fat were included together, both variables were significant predictors of CHF (waist: HR=1.17, 95% CI=1.00-1.36 per SD increase, P=.05; percentage fat: HR=1.47, 95% CI=1.16-1.87 per SD increase, P=.002). Stepwise adjustment for inflammation, hypertension, insulin resistance, and diabetes mellitus did not decrease the relative risk of a greater waist circumference for the development of CHF (all HR=1.27-1.32, 95% CI=1.02-1.61 per SD increase).
Example Output:
Is abdominal obesity an independent risk factor for chronic heart failure in older people?