In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.

Example Input: Context: To determine the role of factor V Leiden and prothrombin gene mutation in the pathogenesis of unexplained second and third trimester nonrecurrent fetal loss.', 'One hundred and fourteen women with unexplained nonrecurrent late fetal loss made up the study group, and 106 normal pregnant women with a history of delivery of at least one healthy fetus and no history of late fetal loss made up the control group. The study group was further divided into two subgroups: second (n = 36) and third (n = 78) trimester fetal loss. All women were tested for factor V Leiden and G20210A prothrombin gene mutations.', 'Twenty-one (18.4%) of the women in the study group and seven (6.6%) of the women in the control group were heterozygous carriers of factor V Leiden mutation (OR = 3.19). Eleven (9.6%) of the women in the study group and three (2.8%) of the women in the control group were heterozygous carriers of prothrombin gene mutation (OR = 3.66). In assessing with regard to trimesters, 18 (23%) factor V Leiden and 10 (12.8%) prothrombin gene mutations were present in the group of third trimester fetal loss (OR = 4.24 and OR = 5.04, respectively). Three (8.3%) factor V Leiden and one (2.7%) prothrombin gene mutation were detected in women with second trimester fetal loss (OR = 1.28 and OR = 0.40, respectively).\Question: Is third trimester nonrecurrent fetal loss associated with factor V Leiden and prothrombin gene mutations?
Example Output: Factor V Leiden and prothrombin gene mutations were associated with third trimester nonrecurrent fetal loss. These mutations should be screened in women with third trimester but not second trimester unexplained nonrecurrent late fetal loss.

Example Input: Context: Recently, extract of Ginkgo biloba leaves (GbE) have become widely known phytomedicines and have shown various pharmacological activities, including improvement of blood circulation, protection of oxidative cell damage, prevention of Alzheimer's disease, treatment of cardiovascular disease and diabetes complications. This study was designed to investigate the effects of an ethanolic GbE on renal fibrosis in diabetic nephropathy (DN) and to clarify the possible mechanism by which GbE prevents renal fibrosis.", 'We investigated the protective effects of GbE on renal fibrosis in STZ-induced diabetic rats. Rats were randomized into six groups termed normal control, diabetes mellitus, low dose of GbE (50\xa0mg/kg/d), intermediate dose of GbE (100\xa0mg/kg/d), high dose of GbE (200\xa0mg/kg/d) and rapamycin (1\xa0mg/kg/d).', 'After 12 weeks, the rats were sacrificed and then fasting blood glucose (FBG), creatinine (Cr), blood urea nitrogen (BUN), urine protein, relative kidney weight, glycogen and collagen accumulation, and collagen IV and laminin expression were measured by different methods. The amounts of E-cadherin, α-SMA and snail, as well as the phosphorylation of Akt, mTOR and p70S6K in the renal cortex of rats, were examined by western blotting.', 'Compared with diabetic rats, the levels of Cr, BUN, urine protein, relative kidney weight, accumulation of glycogen and collagen, and expression of collagen IV and laminin in the renal cortex were all decreased in GbE treated rats. In addition, GbE reduced the expression of E-cadherin, α-SMA, snail and the phosphorylation of Akt, mTOR and p70S6K in diabetic renal cortex.\Question: Does ethanolic Ginkgo biloba leaf extract prevent renal fibrosis through Akt/mTOR signaling in diabetic nephropathy?
Example Output: GbE can prevent renal fibrosis in rats with diabetic nephropathy, which is most likely to be associated with its abilities to inhibit the Akt/mTOR signaling pathway.

Example Input: Context: It is now well accepted that traumatic white matter injury constitutes a critical determinant of post-traumatic functional impairment. However, the contribution of preexisting white matter rarefaction on outcome following traumatic brain injury (TBI) is unknown. Hence, we sought to determine whether the burden of preexisting leukoaraiosis of presumed ischemic origin is independently associated with outcome after TBI.', 'We retrospectively analyzed consecutive, prospectively enrolled patients of ≥50\xa0years (n\xa0=\xa0136) who were admitted to a single neurological/trauma intensive care unit. Supratentorial white matter hypoattenuation on head CT was graded on a 5-point scale (range 0-4) reflecting increasing severity of leukoaraiosis. Outcome was ascertained according to the modified Rankin Scale (mRS) and Glasgow outcome scale (GOS) at 3 and 12\xa0months, respectively.', 'After adjustment for other factors, leukoaraiosis severity was significantly associated with a poor outcome at 3 and 12\xa0months defined as mRS 3-6 and GOS 1-3, respectively. The independent association between leukoaraiosis and poor outcome remained when the analysis was restricted to patients who survived up to 3\xa0months, had moderate-to-severe TBI [enrollment Glasgow Coma Scale (GCS) ≤12; p\xa0=\xa00.001], or had mild TBI (GCS 13-15; p\xa0=\xa00.002), respectively.\Question: Does severe leukoaraiosis portend a poor outcome after traumatic brain injury?
Example Output:
We provide first evidence that preexisting cerebral small vessel disease independently predicts a poor functional outcome after closed head TBI. This association is independent of other established outcome predictors such as age, comorbid state as well as intensive care unit complications and interventions. This knowledge may help improve prognostic accuracy, clinical management, and resource utilization.