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: Trauma centers are currently benchmarked on mortality outcomes alone. However, pay-for-performance measures may financially penalize centers based on complications. Our objective was to determine whether the results would be similar to the current standard method of mortality-based benchmarking if trauma centers were profiled on complications.', 'We analyzed data from the National Trauma Data Bank from 2007 to 2010. Patients 16 years or older with blunt or penetrating injuries and an Injury Severity Score (ISS) of 9 or higher were included. Risk-adjusted observed-to-expected (O/E) mortality ratios for each center were generated and used to rank each facility as high, average, or low performing. We similarly ranked facilities on O/E morbidity ratios defined as occurrence of any major complication. Concordance between hospital performance rankings was evaluated using a weighted κ statistic. Correlation between morbidity- and mortality-based O/E ratios was assessed using Pearson coefficients. Sensitivity analyses were performed to mitigate the competing risk of death for the morbidity analyses.', 'A total of 449,743 patients from 248 facilities were analyzed. The unadjusted morbidity and mortality rates were 10.0% and 6.9%, respectively. No correlation was found between morbidity- and mortality-based O/E ratios (r = -0.01). Only 40% of the centers had similar performance rankings for both mortality and morbidity. Of the 31 high performers for mortality, only 11 centers were also high performers for morbidity. A total of 78 centers were ranked as average, and 11 ranked as low performers on both outcomes. Comparison of hospital performance status using mortality and morbidity outcomes demonstrated poor concordance (weighted κ = 0.03, p = 0.22).\Question: Does benchmarking trauma centers on mortality alone reflect quality of care : implications for pay-for-performance?
Example Output: Mortality-based external benchmarking does not identify centers with high complication rates. This creates a dichotomy between current trauma center profiling standards and measures used for pay-for-performance. A benchmarking mechanism that reflects all measures of quality is needed.

Example Input: Context: Tyrphostin AGL-2043 is a potent tricyclic quinoxaline inhibitor of PDGF beta-receptor tyrosine kinase (PTK), Kit, and Flt3. We have shown previously that selective inhibition of PDGF beta-receptor PTK by tyrphostins markedly reduces SMC proliferation and migration in vitro, reduces neointima formation in balloon-injured porcine femoral arteries, and reduces neointimal stenosis in stented porcine coronary arteries when administered intramurally within biodegradable nanoparticles. The present study was designed to determine the effect of AGL-2043 delivered from a stent-based, biodegradable polymeric coating on neointima formation in the porcine coronary artery model.', 'Stents coated with biodegradable, polylactic/glycolic acid (PLGA) polymer, with (n=13) or without (n=11) 180 mcg AGL-2043 were implanted into the proximal LAD of 24 Sinclair mini-pigs (34+/-4 kg) to achieve a 1.1:1 stent/artery diameter ratio. The delivery of drug from stent to tissue was confirmed by high-performance liquid chromatography. After 28 days, histomorphometric analysis showed that in-stent stenosis in animals treated with AGL-2043 was reduced by 50% (51+/-21% versus 26+/-10%, p=0.001), the absolute neointimal area was reduced by 44% (2.38+/-1.04 versus 1.31+/-0.43 mm(2), p=0.004), and the absolute luminal area was increased by 57% (2.19+/-1.09 versus 3.39+/-0.59 mm(2), p=0.003). There were no significant differences between control and AGL-2043 in injury score (1.24+/-0.11 vs. 1.15+/-0.12, p=0.07) or inflammation score (1.19+/-0.35 vs. 1.07+/-0.33, p=0.41). Moreover, the difference in % in-stent stenosis between control and treated animals remained highly significant even after normalizing the % stenosis to the degree of injury (p=0.0008) or to the inflammation score (p=0.001). Mortality for this study was zero. Tissue concentration in segments 1 cm proximal and distal to the stents, were negligible or zero at 1 h, 24 h, and 4 weeks after stent implantation.\Question: Does tyrphostin AGL-2043 eluting stent reduce neointima formation in porcine coronary arteries?
Example Output: Stent-based delivery of tyrphostin AGL-2043 from a biodegradable polymeric coating reduces in-stent neointimal hyperplasia in porcine coronary arteries by 50% after 28 days and preserves lumen area. Long-term studies should be the next step in testing applicability to the human interventional setting.

Example Input: Context: Claudin-5, claudin-9, and claudin-11 are expressed in endothelial cells to constitute tight junctions, and their deficiency may lead to hyperpermeability, which is the initiating process and pathological basis of cardiovascular disease. Although tongxinluo (TXL) has satisfactory antianginal effects, whether and how it modulates claudin-5, claudin-9, and claudin-11 in hypoxia-stimulated human cardiac microvascular endothelial cells (HCMECs) have not been reported.', 'In this study, HCMECs were stimulated with CoCl2to mimic hypoxia and treated with TXL. First, the messenger RNA (mRNA) expression of claudin-5, claudin-9, and claudin-11 was confirmed. Then, the protein content and distribution of claudin-9, as well as cell morphological changes were evaluated after TXL treatment. Furthermore, the distribution and content histone H3K9 acetylation (H3K9ac) in the claudin-9 gene promoter, which guarantees transcriptional activation, were examined to explore the underlying mechanism, by which TXL up-regulates claudin-9 in hypoxia-stimulated HCMECs.', 'We found that hypoxia-suppressed claudin-9 gene expression in HCMECs (F = 7.244; P = 0.011) and the hypoxia-suppressed claudin-9 could be reversed by TXL (F = 61.911; P = 0.000), which was verified by its protein content changes (F = 29.142; P = 0.000). Moreover, high-dose TXL promoted the cytomembrane localization of claudin-9 in hypoxia-stimulated HCMECs, with attenuation of cell injury. Furthermore, high-dose TXL elevated the hypoxia-inhibited H3K9ac in the claudin-9 gene promoter (F = 37.766; P = 0.000), activating claudin-9 transcription.\Question: Does tongxinluo reverse the Hypoxia-suppressed Claudin-9 in Cardiac Microvascular Endothelial Cells?
Example Output:
The results manifested that TXL reversed the hypoxia-suppressed claudin-9 by elevating H3K9ac in its gene promoter, playing protective roles in HCMECs.