Given a passage with a context and an answer, 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: Context: This study evaluated two surgical procedures, total splenectomy and spleen-preserving surgery, for the treatment of spleen cystic echinococcosis (CE).', 'A total of 21 patients who underwent surgery for removal of spleen CE were evaluated retrospectively. Patients were divided into two groups, those who received a total splenectomy (n=7) and those who underwent spleen-preserving surgery (n=14).', 'Total splenectomy surgery took 127.1±11.1min and spleen-preserving surgery took 104.3±25.3min (p<0.05). The length of hospital stay was the same for both patient groups (10.6 days on average). No patient suffered from recurrence during follow-up and all of the patients made a good recovery. No patient developed post-splenectomy sepsis or serious infectious complications. No patient suffered recurrence.
Answer: The spleen-saving approach is likely an effective method for the removal of CE spleen cysts given that it is a quick procedure and preserves the function of the spleen. Total splenectomy procedures may be performed particularly for larger, centrally located cysts.
Example Output: Is spleen-preserving surgery effective for the treatment of spleen cystic echinococcosis?

Example Input: Context: High visceral adipose tissue (VAT) and high liver fat (LF) are associated with the metabolic syndrome and diabetes. We studied changes in these two fat depots during weight loss and analyzed whether VAT and LF at baseline predict the response to lifestyle intervention.', 'One hundred twelve subjects (48 men and 64 women; age, 46 +/- 11 years; BMI, 29.2 +/- 4.4 kg/m(2)) were studied after a follow up-time of 264 +/- 60 (SD) days. Insulin sensitivity was estimated from the oral glucose tolerance test. Body fat depots were quantified using magnetic resonance imaging and spectroscopy.', 'Cross-sectionally high VAT (r = -0.22, p = 0.02) and high LF (r = -0.36, p < 0.0001) were independently associated with low insulin sensitivity. With intervention, BMI (-3.0%), VAT (-12.0%), and LF (-33.0%) were reduced (all p < 0.001). Insulin sensitivity was improved (+17%, p < 0.01). The changes in BMI (r = -0.41), VAT (r = -0.28), and LF (r = -0.39) were associated with the increase in insulin sensitivity (all p < 0.01). High VAT (r = -0.28, p = 0.01) and high LF (r = -0.38, p < 0.01) at baseline were associated with a lesser increase in insulin sensitivity.
Answer: Baseline values and changes in BMI, VAT, and LF are related to changes in insulin sensitivity during lifestyle intervention. Subjects with high VAT and LF have a lower chance of profiting from lifestyle intervention and may require intensified lifestyle prevention strategies or even pharmacological approaches to improve insulin sensitivity.
Example Output: Are high visceral fat mass and high liver fat associated with resistance to lifestyle intervention?

Example Input: Context: Lack of insurance is associated with suboptimal receipt of diabetes preventive care. One known reason for this is an access barrier to obtaining healthcare visits; however, little is known about whether insurance status is associated with differential rates of receipt of diabetes care during visits.', 'To examine the association between health insurance and receipt of diabetes preventive care during an office visit.', 'This retrospective cohort study used electronic health record and Medicaid data from 38 Oregon community health centers. Logistic regression was used to test the association between insurance and receipt of four diabetes services during an office visit among patients who were continuously uninsured (n=1,117); continuously insured (n=1,466); and discontinuously insured (n=336) in 2006-2007. Generalized estimating equations were used to account for within-patient correlation. Data were analyzed in 2013.', 'Overall, continuously uninsured patients had lower odds of receiving services at visits when due, compared to those who were continuously insured (AOR=0.73, 95% CI=0.66, 0.80). Among the discontinuously insured, being uninsured at a visit was associated with lower odds of receipt of services due at that visit (AOR=0.77, 95% CI=0.64, 0.92) than being insured at a visit.
Answer: Lack of insurance is associated with a lower probability of receiving recommended services that are due during a clinic visit. Thus, the association between being uninsured and receiving fewer preventive services may not be completely mediated by access to clinic visits.
Example Output:
Does receipt of diabetes preventive services differ by insurance status at visit?