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.

[EX Q]: Context: Glioblastomas treated with bevacizumab may develop low-signal apparent diffusion coefficient (low-ADC) lesions, which may reflect increased tumor cellularity or atypical necrosis. The purpose of this study was to examine the relationship between low-ADC lesions and overall survival (OS). We hypothesized that growing low-ADC lesions would be associated with shorter OS.', 'We retrospectively identified 52 patients treated with bevacizumab for the first (n = 42, 81%) or later recurrence of primary glioblastoma, who had low-ADC lesions and 2 post-bevacizumab scans 90 days apart. Low-ADC lesion volumes were measured, and normalized 5th percentile histogram low-ADC values were recorded. Using OS as the primary endpoint, semiparametric Cox models were fitted to ascertain univariate and multivariate hazard ratios (HRs) with significance at P = .05.', 'Median OS was 9.1 months (95% CI = 7.2-14.3). At the second post-bevacizumab scan, the volume of the low-ADC lesion (median: 12.94 cm(3)) was inversely associated with OS, with larger volumes predicting shorter OS (HR = 1.014 [95% CI = 1.003-1.025], P = .009). The percent change in low-ADC volume (median: 6.8%) trended toward increased risk of death with growing volumes (P = .08). Normalized 5th percentile low-ADC value and its percent change were not associated with OS (P > .51). Also correlated with shorter OS were the pre-bevacizumab nonenhancing volume (P = .025), the first post-bevacizumab enhancing volume (P = .040), and the second post-bevacizumab enhancing volume (P = .004).\Question: Do large-volume low apparent diffusion coefficient lesions predict poor survival in bevacizumab-treated glioblastoma patients?
[EX A]: The volume of low-ADC lesions at the second post-bevacizumab scan predicted shorter OS. This suggests that low-ADC lesions may be considered important imaging markers and included in treatment decision algorithms.

[EX Q]: Context: Although right-sided diverticulitis is perceived to have a higher incidence among Asians and infrequently requires surgical management in comparison with sigmoid diverticulitis, it is unknown whether differences in outcomes are due to ethnic disparity or disease pathophysiology.', 'The aim of this study was to determine the surgical outcomes for Asian and non-Asian patients with diverticulitis who underwent colectomy.', 'Patients identifiable by ethnicity in the Nationwide Inpatient Sample with diverticulitis and colectomy between 2004 and 2010 were included. Univariate comparisons were made between Asian and non-Asian patients by using t tests for continuous variables and tests for categorical variables. Propensity score matching analysis was performed to compare Asian patients with otherwise similar non-Asian patients.', 'Included were 58,142 non-Asian and 335 Asian patients with diverticulitis who underwent a colectomy.', 'The primary outcomes were in-hospital mortality, hospital length of stay, and total costs.', 'Asian patients were younger (56.1 vs. 59.2 years, p < 0.0001), were more likely to undergo a right colectomy (22.7% vs. 4.1%, p < 0.0001), and were more likely to have emergent/urgent surgery than the non-Asian patients (67.1% vs. 49.8%, p < 0.0001). Without controlling for patient/disease factors, there were statistically significant differences in mortality (non-Asian 2.2% vs. Asian 4.2%; p = 0.014), length of stay (non-Asian 8.9 vs. Asian 9.8 days; p = 0.0166), and costs (non-Asian $18,783 vs. Asian $21,901; p = 0.001). Propensity score matching comparing 333 non-Asian patients with 333 similar Asian patients showed that, whereas differences in cost and length of stay became insignificant, the difference in mortality remained statistically significant.\Question: Is higher Mortality in Surgically Managed Diverticulitis Associated with Asian Ethnicity and Right-Sided Disease?
[EX A]: The ethnicity variable was not uniformly collected by all states within the Nationwide Inpatient Sample database.

[EX Q]: Context: To describe the development and application of logic model templates for systematic reviews and health technology assessments (HTAs) of complex interventions.', 'This study demonstrates the development of a method to conceptualize complexity and make underlying assumptions transparent. Examples from systematic reviews with specific relevance to Sub-Saharan Africa (SSA) and other low- and middle-income countries (LMICs) illustrate its usefulness.', 'Two distinct templates are presented: the system-based logic model, describing the system in which the interaction between participants, intervention, and context takes place; and the process-orientated logic model, which displays the processes and causal pathways that lead from the intervention to multiple outcomes.\Question: Do logic models help make sense of complexity in systematic reviews and health technology assessments?
[EX A]:
Logic models can help authors of systematic reviews and HTAs to explicitly address and make sense of complexity, adding value by achieving a better understanding of the interactions between the intervention, its implementation, and its multiple outcomes among a given population and context. They thus have the potential to help build systematic review capacity-in SSA and other LMICs-at an individual level, by equipping authors with a tool that facilitates the review process; and at a system-level, by improving communication between producers and potential users of research evidence.