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: Central core disease is a congenital myopathy, characterized by presence of central core-like areas in muscle fibers. Patients have mild or moderate weakness, hypotonia and motor developmental delay. The disease is caused by mutations in the human ryanodine receptor gene (RYR1), which encodes a calcium-release channel. Since the RYR1 gene is huge, containing 106 exons, mutation screening has been limited to three 'hot spots', with particular attention to the C-terminal region. Recent next-generation sequencing methods are now identifying multiple numbers of variants in patients, in which interpretation and phenotype prevision is difficult.", "In a Brazilian Caucasian family, clinical, histopathological and molecular analysis identified a new case of central core disease in a 48-year female. Sanger sequencing of the C-terminal region of the RYR1 gene identified two different missense mutations: c.14256 A >C polymorphism in exon 98 and c.14693 T >C in exon 102, which have already been described as pathogenic. Trans-position of the 2 mutations was confirmed because patient's daughter, mother and sister carried only the exon 98's mutation, a synonymous variant that was subsequently found in the frequency of 013-0,05 of alleles. Further next generation sequencing study of the whole RYR1 gene in the patient revealed the presence of additional 5 common silent polymorphisms in homozygosis and 8 polymorphisms in heterozygosis.
Answer: Considering that patient's relatives showed no pathologic phenotype, and the phenotype presented by the patient is within the range observed in other central core disease patients with the same mutation, it was concluded that the c.14256 A >C polymorphism alone is not responsible for disease, and the associated additional silent polymorphisms are not acting as modifiers of the primary pathogenic mutation in the affected patient. The case described above illustrates the present reality where new methods for wide genome screening are becoming more accessible and able to identify a great variety of mutations and polymorphisms of unknown function in patients and their families.
Example Output: Do silent polymorphisms in the RYR1 gene modify the phenotype of the p.4898 I > T pathogenic mutation in central core disease : a case report?

Example Input: Context: Intermountain Risk Score (IMRS) uses the admission complete blood count and basic metabolic profile to predict mortality. Intermountain Risk Score has been validated in medical patients but has not been evaluated in trauma. This study tested whether IMRS is predictive of mortality in a trauma population at a level I trauma center.', 'Admitted trauma patients with complete blood count and basic metabolic profile from October 2005 to December 2011 were evaluated. Thirty-day and 1-year IMRS were calculated using multivariable modeling. Mortality was determined using the medical record and Social Security Administration death data.', 'Three thousand six hundred thirty-seven females and 5901 males were evaluated. Intermountain Risk Score was highly predictive of death at 30 days (c-statistics, c = 0.772 for females; c = 0.783 males) and 1 year (c = 0.778 for females; c = 0.831 males). Cox regression analysis, adjusted for injury severity score, blunt vs penetrating, and length of stay, showed increased mortality risks among patients in the moderate- and high-risk IMRS-defined groups at both 30 days and 1 year, with hazard ratios ranging from 4.96 to 57.88 (all P < .001).
Answer: Intermountain Risk Score strongly predicts mortality in trauma patients at this single level I trauma center. The ability to accurately determine a patient's mortality risk at admission makes IMRS a potentially clinically important tool.
Example Output: Does the Intermountain Risk Score predict mortality in trauma patients?

Example Input: Context: Consultant gynecologic oncologists from the regional Comprehensive Cancer Center assisted community gynecologists in the surgical treatment of patients with ovarian carcinoma when they were invited. For this report, the authors evaluated the effects of primary surgery by a gynecologic oncologist on treatment outcome.', "The hospital files from 680 patients with epithelial ovarian carcinoma who were diagnosed between 1994 and 1997 in the northern part of the Netherlands were abstracted. Treatment results were analyzed according to the operating physician's education by using survival curves and univariate and multivariate Cox regression analyses.", 'Primary surgery was performed on 184 patients by gynecologic oncologists, and on 328 patients by general gynecologists. Gynecologic oncologists followed surgical guidelines more strictly compared with general gynecologists (patients with International Federation of Gynecology and Obstetrics [FIGO] Stage I-II disease, 55% vs. 33% [P=0.01]; patients with FIGO Stage III disease, 60% vs. 40% [P=0.003]) and more often removed all macroscopic tumor in patients with FIGO Stage III disease (24% vs. 12%; P=0.02). When patients were stratified according to FIGO stage, the 5-year overall survival rate was 86% versus 70% (P=0.03) for patients with Stage I-II disease and 21% versus 13% (P=0.02) for patients with Stage III-IV disease who underwent surgery by gynecologic oncologists and general gynecologists, respectively. The hazards ratio for patients who underwent surgery by gynecologic oncologists was 0.79 (95% confidence interval [95%CI], 0.61-1.03; adjusted for patient age, disease stage, type of hospital, and chemotherapy); when patients age 75 years and older were excluded, the hazards ratio fell to 0.71 (95% CI, 0.54-0.94) in multivariate analysis.
Answer: The surgical treatment of patients with ovarian carcinoma by gynecologic oncologists occurred more often according to surgical guidelines, tumor removal more often was complete, and survival was improved.
Example Output:
Does surgery by consultant gynecologic oncologists improve survival in patients with ovarian carcinoma?