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.
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Question: Context: A malaria management protocol was developed and implemented at a tertiary care children's hospital in September 1999. We retrospectively evaluated children admitted with malaria 10-years preimplementation and 7-years postimplementation to determine the impact the protocol had on management and time delay to appropriate antimalarial therapy.", 'This before and after study compared all admissions with the discharge diagnosis of malaria in the study period. Retrospective chart review was used to determine the time from emergency department (ED) registration to administration of antimalarial treatment. Other outcomes measured included mortality, length of hospital stay, and intensive care unit admission.', 'Fifty-eight admissions were identified during the defined period, most of which were due to Plasmodium falciparum[r] malaria. Thirty-one (53.4%) cases were before implementation of the protocol. Children were more likely to receive appropriate investigations to assess for possible severe malaria before transfer from the ED to the ward after protocol implementation (18% vs. 63%, P = 0.005). Analysis of index cases of malaria, excluding patients diagnosed after the diagnosis of a sibling, showed there was a significant reduction in time to medication administration (8 vs. 5.5 hours, P = 0.036).\Question: Does protocol for management of imported pediatric malaria decrease time to medication administration?

Answer: After broad-based implementation of a malaria treatment protocol in a pediatric hospital, children received more thorough investigations, were more likely to receive therapy before leaving the ED and had a shorter delay before receiving appropriate antimalarial therapy.


Question: Context: Both obesity and type 2 diabetes are among the risk factors for breast cancer development. Combined effect of these metabolic abnormalities on breast cancer risk however, has not been examined in premenopausal women. We tested this association in type 2 diabetic women, categorized as obese, overweight and normal body weight groups based on BMI.', 'A total of 101 subjects were included in this study. Serum levels of IL-6, TNF-alpha, C reactive protein, leptin, TGF-alpha, adiponectin and insulin were measured by ELISA. Data were logarithmically transformed for variables not normally distributed. Analysis of variance with post-hoc Bonferroni was applied to compare the data between the groups. Simple and partial correlation coefficients between the variables were determined and a stepwise multiple linear regression analysis was performed to determine the relationships between the variables of interest.', 'Significantly increased levels of IL-6, C reactive protein, leptin and significantly decreased levels of adiponectin were found in obese group, while the levels of TNF-alpha and TGF-alpha were unaltered. A positive correlation between waist circumference and IL-6 was found in obese group. Similarly, C reactive protein, waist and hip circumferences were linearly correlated with BMI in obese group. Stepwise multiple linear regression analysis revealed several significant predictors for breast cancer risk.\Question: Do combined effects of obesity and type 2 diabetes contribute to increased breast cancer risk in premenopausal women?

Answer: Obesity and type 2 diabetes, owing to their effects on adipocytokines and inflammatory mediators, contribute to increased breast cancer risk in premenopausal women. This study emphasizes healthy life style and better management of these metabolic disorders to avoid the pathogenesis of breast cancer and of other chronic diseases.


Question: Context: To determine the effect of SLCO1B1 gene polymorphisms (rs11045819, rs4149032 and rs4149033) on rifampicin (RMP) concentrations in adult tuberculosis (TB) patients from south India.', 'We genotyped adult TB patients for three SLCO1B1 gene polymorphisms-rs11045819, rs4149032 and rs4149033-and compared 2-h post-dosing RMP concentrations of the different genotypes for each of the polymorphisms. Plasma RMP was determined using high-performance liquid chromatography. Genotyping was performed using direct sequencing.', 'Among the 256 study patients, minor allele frequencies were respectively 0.01 (A), 0.46 (C) and 0.07 (A) for rs11045819, rs4149032 and rs4149033 polymorphisms; genotype distributions followed Hardy-Weinberg equilibrium. RMP concentrations did not significantly differ between the different genotypes of the three polymorphisms.\Question: Do sLCO1B1 gene polymorphisms influence plasma rifampicin concentrations in a South Indian population?

Answer:
This is the first study to show that rs11045819, rs4149032 and rs4149033 polymorphisms in the SLCO1B1 gene did not influence RMP concentrations in Indian patients.