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 whether older adults with type 2 diabetes mellitus and cognitive dysfunction have poorer metabolic control of glycosylated hemoglobin, systolic blood pressure, and low-density lipoprotein cholesterol than those without cognitive dysfunction.', 'Prospective cohort study.', 'A minority cohort in New York City previously recruited for a trial of telemedicine.', 'Persons aged 73.0 ± 3.0 (N = 613; 69.5% female; 82.5% Hispanic, 15.5% non-Hispanic black).', 'Participants were classified with executive or memory dysfunction based on standardized score cutoffs (<16th percentile) for the Color Trails Test and Selective Reminding Test. Linear mixed models were used to compare repeated measures of the metabolic measures and evaluate the rates of change in individuals with and without dysfunction.', 'Of the 613 participants, 331 (54%) had executive dysfunction, 202 (33%) had memory dysfunction, and 96 (16%) had both. Over a median of 2 years, participants with executive or memory dysfunction did not exhibit significantly poorer metabolic control than those without executive function or memory type cognitive dysfunction.\Question: Does mild cognitive dysfunction affect diabetes mellitus control in minority elderly adults?
Example Output: Cognitive dysfunction in the mild range did not seem to affect diabetes mellitus control parameters in this multiethnic cohort of older adults with diabetes mellitus, although it cannot be excluded that cognitive impairment was overcome through assistance from formal or informal caregivers. It is possible that more-severe cognitive dysfunction could affect control.

Example Input: Context: Information about malaria risk factors at high altitudes is scanty. Understanding the risk factors that determine the risk of malaria transmission at high altitude villages is important to facilitate implementing sustainable malaria control and prevention programs.', 'An unmatched case control study was conducted among patients seeking treatment at health centers in high altitude areas. Either microscopy or rapid diagnostic tests were used to confirm the presence of plasmodium species. A generalized linear model was used to identify the predictors of malaria transmission in high altitude villages.', 'Males (AOR\u200a=\u200a3.11, 95%CI: 2.28, 4.23), and those who traveled away from the home in the previous month (AOR\u200a=\u200a2.01, 95% CI: 1.56, 2.58) were strongly associated with presence of malaria in high altitude villages. Other significant factors, including agriculture in occupation (AOR\u200a=\u200a1.41, 95% CI: 1.05, 1.93), plants used for fencing (AOR\u200a=\u200a1.70, 95% CI: 1.18, 2.52) and forests near the house (AOR\u200a=\u200a1.60, 95% CI: 1.15, 2.47), were found predictors for malaria in high altitude villages.\Question: Are men traveling away from home more likely to bring malaria into high altitude villages , northwest Ethiopia?
Example Output: Travel outside of their home was an important risk of malaria infections acquisition. Targeting males who frequently travel to malarious areas can reduce malaria transmission risks in high altitude areas.

Example Input: Context: Despite the widespread availability of dialytic and intensive care unit technology, the probability of early mortality in critically ill patients with acute renal failure is still high. Previous efforts to predict the outcome in this population have been limited by small sample sizes. In addition, data obtained decades ago may not apply today owing to changes in the case mix. We have attempted to determine whether organ system failures can be used to predict prognosis.', 'The medical records of 100 consecutive intensive care unit patients with acute renal failure who required dialysis from January 1997 through December 1998 were evaluated by a blinded reviewer.', 'Of the 100 patients studied, 65 were men and 35 were women. The mean age of survivors and non-survivors was 59.4 +/- 20.3 years and 58.3 +/- 20.0 years, respectively. The overall mortality rate was 71%. There were no significant differences between survivors and non-survivors in age, gender, or indication for dialysis. The cause of death in the majority of patients was related to organ system failure, and they carried mortality rates exceeding 83% with the coexistence of four or more failed organs.\Question: Do organ system failures predict prognosis in critically ill patients with acute renal failure requiring dialysis?
Example Output:
The mortality rate for intensive care unit patients with acute renal failure continues to be high. Multiple organ system failure occurs frequently and is the major cause of death. The mortality rate increases as the number of failed organs increases.