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: Women diagnosed with pregnancy-associated breast cancer postpartum have a worse prognosis, stage for stage, than other women with breast cancer. The time of breast involution is tumor promotional. The extracellular matrix protein tenascin-C is upregulated during involution in animal models and promotes breast cancer progression. It interacts with transforming growth factor (TGF)β, which also is involved in breast involution and breast cancer progression. Little is known about the expression of tenascin-C during human breast involution, nor its relationship to TGFβ. The purpose of this study was to investigate the expression of tenascin-C throughout lactation, as well as its relationship to TGFβ1 and TGFβ2.', 'Three milk samples from 25 lactating women (transitional, whole, and wean) were collected, separated into components (cells, fat, and skim), and the skim fraction analyzed for total protein, tenascin-C, TGFβ1, and TGFβ2. Tenascin-C, TGFβ1, and TGFβ2 were detectable in all milk samples.', 'Highest tenascin-C levels on average were found in whole milk, whereas highest mean TGFβ1 and TGFβ2 levels were in wean milk. Wean samples on average had higher levels of both TGFβ1 (26%) and TGFβ2 (>500%) than matched transitional milk samples. Tenascin-C levels in wean milk were associated with nursing length (p = 0.048). Combining all three milk collection time points, tenascin-C exhibited a weak inverse correlation with TGFβ1 and TGFβ2 (p < 0.1). The inverse correlation at the wean time point was stronger for TGFβ2 than -1 (-0.37 versus -0.25). Tenascin-C, a protein known to promote breast cancer progression, is expressed throughout lactation.
Answer: The inverse correlation with TGFβ2 in wean milk suggests a possible interaction during breast involution, which should be further investigated.
Example Output: Does expression of the Extracellular Matrix Protein Tenascin-C vary During Lactation?

Example Input: Context: To assessdoctor's knowledge on the relevance of the problem of sleep disorders, methods of their diagnosis and treatment.", 'The survey was conducted among90physicians of different the rapeuticspecialties of Kazan medical institutions.', 'The doctors believe that main causes of sleep disorders are stressors (20%), depression (13%), neurosis (13%), chronic diseases (13%), asthenia (10%), pain (10%). An analysis of treatment prescribed to patients with sleep disorders revealed large differences.
Answer: Physicians are not well informed about the problems of sleep disorders, have a small idea of the methods of sleepresearch and drugs for their treatment as well as of a sequence of operations that should be used to resolve this problem.
Example Output: Do [ What do the doctors of different specialties know about sleep disorders and their treatment ]?

Example Input: Context: Clinical predictors associated with acute paraquat (PQ) poisoning have not been systematically studied.', 'To identify independent predictors of death in patients with acute PQ poisoning.', 'This is a retrospective study executed in the emergency department of a university hospital. One hundred three consecutive patients poisoned with PQ between January 1999 and December 2004 were enrolled. Urine PQ concentration, electrolyte and renal function, detailed history, and Acute Physiology and Chronic Health Evaluation II were extracted from medical records. The outcome measure was 30-day mortality. Multivariate analysis was done by Cox-proportional hazard regression model. Receiver operating characteristics area under the curve was calculated for selected predictors.', 'The crude 30-day mortality was 67.9% (70 of 103). Independent predictors of death were acute renal failure (hazard ratio, 3.53; 95% confidence interval, 1.97-6.32), hypokalemia (2.07, 1.21-3.51), hypothermia (2.91, 1.67-5.07), suicide (2.11, 1.04-4.29), and self-reported ingested dose (2.06, 1.38-3.06). The receiver operating characteristics area under the curve of serum potassium concentrations, maximal urine PQ concentrations, and Acute Physiology and Chronic Health Evaluation II scores were 0.75 (95% confidence interval, 0.60-0.81), 0.71 (0.66-0.84), and 0.80 (0.71-0.88), respectively. Under the cutoff value of 3.6 mEq/L, hypokalemia had a sensitivity of 75% and specificity of 54% in predicting mortality.
Answer: The identified risk factors may allow better identification of those at greater mortality risk. Future development of a tailored clinical scoring system incorporating the identified risk factors for acute PQ poisoning may be of great help.
Example Output:
Are hypokalemia and hypothermia associated with 30-day mortality in patients with acute paraquat poisoning?