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: Breast reconstruction (BR) following mastectomy for breast cancer has been shown to improve quality of life and body image; however, there is significant geographic variation in BR rates. We explored factors associated with BR following mastectomy.', 'This is a population-based data linkage study consisting of cancer registry records linked to hospital inpatient episodes for 4104 women aged 20\u2009years and over-diagnosed with a first primary invasive localized stage breast cancer between 1997 and 2012 in Queensland, Australia, who underwent a mastectomy. Multivariate logistic regression was used to model predictors of BR.', 'Overall, 481 women (11.7%) underwent reconstruction. Proportions increased over time and were higher for younger women. Younger age, more recent diagnosis, living in high or very high accessibility areas or less disadvantaged areas, smaller tumours and attending a private or high-volume hospital independently increased the odds of reconstruction. The geographical disparity reduced significantly over time.
Answer: Geographical barriers to accessing BR have reduced; however, continued monitoring and further research to inform strategies to further reduce subgroup disparities remain a priority.
Example Output: Does geographical disparity in breast reconstruction following mastectomy have reduced over time?

Example Input: Context: Rhinovirus (RV) infection in asthma induces varying degrees of airway inflammation (e.g. neutrophils), but the underlying mechanisms remain unclear.', 'The major goal was to determine the role of genetic variation [e.g. single nucleotide polymorphisms (SNPs)] of Toll-interacting protein (Tollip) in airway epithelial responses to RV in a type 2 cytokine milieu.', 'DNA from blood of asthmatic and normal subjects was genotyped for Tollip SNP rs5743899 AA, AG and GG genotypes. Human tracheobronchial epithelial (HTBE) cells from donors without lung disease were cultured to determine pro-inflammatory and antiviral responses to IL-13 and RV16. Tollip knockout and wild-type mice were challenged with house dust mite (HDM) and infected with RV1B to determine lung inflammation and antiviral response.', 'Asthmatic subjects carrying the AG or GG genotype (AG/GG) compared with the AA genotype demonstrated greater airflow limitation. HTBE cells with AG/GG expressed less Tollip. Upon IL-13 and RV16 treatment, cells with AG/GG (vs. AA) produced more IL-8 and expressed less antiviral genes, which was coupled with increased NF-κB activity and decreased expression of LC3, a hallmark of the autophagic pathway. Tollip co-localized and interacted with LC3. Inhibition of autophagy decreased antiviral genes in IL-13- and RV16-treated cells. Upon HDM and RV1B, Tollip knockout (vs. wild-type) mice demonstrated higher levels of lung neutrophilic inflammation and viral load, but lower levels of antiviral gene expression.
Answer: Our data suggest that Tollip SNP rs5743899 may predict varying airway response to RV infection in asthma.
Example Output: Does tollip SNP rs5743899 modulate human airway epithelial responses to rhinovirus infection?

Example Input: Context: Monitoring renal function is crucial in children undergoing chemotherapy. To date, a combination of routine serum creatinine (SCR) monitoring with occasional determination of creatinine clearance ratio (CCR) is widely used as clinical standard for this purpose. Both methods have their limitations regarding diagnostic value (SCR) or practicability (CCR), especially in young children. Diagnostic alternatives, such as glomerular filtration rate (GFR) estimation formulas have not been proved to be superior. The aim of the study was to evaluate whether serum cystatin C (CysC) may have a diagnostic impact on pediatric patients.', 'CysC, SCR, several GFR estimation formulas (Counahan-Barratt, Ghazali-Barratt, Schwartz, Shull, Traub), and CCR were studied in 80 pediatric cancer patients (age range: 0.17-17.9 years) during their chemotherapy. Special attention was given to children under the age of 3 in whom accurate urine collection for CCR is difficult.', 'All parameters correlated similarly well with CCR. Total accuracy was 66% and 67% for CysC and SCR, respectively. In very young children (<3 years), correlation with CCR was for CysC r = -0.74 with an area under the curve (AUC) of 0.646, and for SCR r = -0.27 with AUC = 0.594. Total accuracy was 60% for CysC, 50% for SCR.
Answer: CysC represents a suitable marker for monitoring renal function in pediatric cancer patients. In young children (<3 years), CysC may have a better diagnostic value than SCR. Future studies should show if CysC can improve renal monitoring by replacing SCR, especially in very young children.
Example Output:
Is serum cystatin C a suitable marker for routine monitoring of renal function in pediatric cancer patients , especially of very young age?