TASK DEFINITION: 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.
PROBLEM: Context: Studies in chronic noncancer pain settings have found that opioid use increases health care utilization. Despite the key role of analgesics, specifically opioids, in the setting of cancer pain, there is no literature to our knowledge about the relationship between adherence to prescribed around-the-clock (ATC) analgesics and acute health care utilization (hospitalization) among patients with cancer pain.', 'To identify adherence patterns over time for cancer patients taking ATC analgesics for pain, cluster these patterns into adherence types, combine the types into an adherence risk factor for hospitalization, identify other risk factors for hospitalization, and identify risk factors for inconsistent analgesic adherence.', 'Data from a 3-month prospective observational study of patients diagnosed with solid tumors or multiple myeloma, having cancer-related pain, and having at least one prescription of oral ATC analgesics were collected. Adherence data were collected electronically using the medication event-monitoring system. Analyses were conducted using adaptive modeling methods based on heuristic search through alternative models controlled by likelihood cross-validation scores.', 'Six adherence types were identified and combined into the risk factor for hospitalization of inconsistent versus consistent adherence over time. Twenty other individually significant risk factors for hospitalization were identified, but inconsistent analgesic adherence was the strongest of these predictors (ie, generating the largest likelihood cross-validation score). These risk factors were adaptively combined into a model for hospitalization based on six pairwise interaction risk factors with exceptional discrimination (ie, area under the receiver-operating-characteristic curve of 0.91). Patients had from zero to five of these risk factors, with an odds ratio of 5.44 (95% confidence interval 3.09-9.58) for hospitalization, with a unit increase in the number of such risk factors.\Question: Do patterns of analgesic adherence predict health care utilization among outpatients with cancer pain?

SOLUTION: Inconsistent adherence to prescribed ATC analgesics, specifically the interaction of strong opioids and inconsistent adherence, is a strong risk factor for hospitalization among cancer outpatients with pain.

PROBLEM: Context: To evaluate response to radiation and clinical outcome of uterine cervical cancer patients with tumor-related leukocytosis (TRL) at initial diagnosis and during definitive radiotherapy.', 'We retrospectively analyzed 2456 patients with stage IA-IVA uterine cervical cancer who received definitive radiotherapy with (37.4%) or without (62.6%) platinum-based chemotherapy between 1986 and 2012. TRL was defined as two or more occurrences of leukocytosis over 9000/μl at the time of diagnosis and during the course of treatment. Locoregional failure-free survival (LFFS) and overall survival (OS) were compared between patients with or without TRL.', 'The median age of all patients was 55 years, and the median follow-up time was 65.1 months. TRL was observed in 398 patients (16%) at initial diagnosis; TRL (+) patients were younger and had larger tumors, advanced stage, and more frequent lymph node metastases (all P < 0.05). TRL (+) patients showed a significantly lower rate of complete remission than TRL (-) patients (89.9% versus 96.3%, respectively, P = 0.042). Ten-year LFFS and OS for all patients were 84% and 78%, respectively. LFFS and OS were significantly lower in TRL (+) patients than TRL (-) patients (10-year LFFS: 69% versus 87% respectively, P < 0.001; 10-year OS: 63% versus 81% respectively P < 0.001). After propensity score matching, LFFS and OS rates in TRL (+) patients remained significantly lower than for TRL (-) patients; this significant difference was also observed on multivariate analysis. Twenty-six percent of patients with locoregional failure (n = 345) were TRL (+) and had significantly poorer median OS (6 versus 12 months, P = 0.001).\Question: Is tumor-related leukocytosis associated with poor radiation response and clinical outcome in uterine cervical cancer patients?

SOLUTION: This study reveals the aggressive nature of cervical cancer with TRL and its poor response to radiation therapy. Given the unfavorable prognosis and higher probability of treatment failure, optimal diagnostic and therapeutic approaches and careful monitoring for early detection of recurrence should be considered for these patients.

PROBLEM: Context: Prognosis and treatment of patients with breast carcinoma of no special type (NST) is dependent on a few established parameters, such as tumor size, histological grade, lymph node stage, expression of estrogen receptor, progesterone receptor, and HER-2/neu, and proliferation index. The original Nottingham Prognostic Index (NPI) employs a three-tiered classification system that stratifies patients with breast cancer into good, moderate, and poor prognostic groups. The aim of our study was to use robust immunohistochemical methodology for determination of ER, PR, HER-2/neu, Ki-67, p53, and Bcl-2, and to observe differences in the expression of these markers when patients are stratified according to the original, three-tiered Nottingham Prognostic Index.', 'Paraffin blocks from 120 patients diagnosed with breast carcinoma, NST, were retrieved from our archive. Cases included in the study were female patients previously treated with modified radical mastectomy and axillary dissection.', 'Our study demonstrates that expression of markers of good prognosis, such as ER, PR, and Bcl-2, is seen with higher frequency in good and moderate NPI groups. In contrast, overexpression of HER-2/neu, a marker of adverse prognosis, is more frequent in moderate and poor NPI groups. High proliferation index, as measured by Ki-67, is seen in moderate and poor NPI groups, whereas low proliferation index is seen in good NPI groups.\Question: Does classification of patients with breast cancer according to Nottingham prognostic index highlight significant differences in immunohistochemical marker expression?

SOLUTION:
These data confirm that the original, three-tiered NPI statistically correlates with the expression of prognostic immunohistochemical markers in breast carcinoma NST.