Cancer investigation
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Cancer investigation · Jan 2004
Clinical TrialSalvage chemotherapy with mitomycin, docetaxel, and irinotecan (MDI regimen) in metastatic pancreatic adenocarcinoma: a phase I and II trial.
This study evaluates the maximum tolerated dose (MTD) and activity of mitomycin, docetaxel, and irinotecan (MDI) regimen on metastatic pancreatic adenocarcinoma, previously treated with gemcitabine-containing chemotherapy. ⋯ The MTD was mitomycin 6 mg/m2 day one, and docetaxel 30 and irinotecan 85 mg/m2 days 2 and 8. This regimen is inactive in metastatic pancreatic cancer.
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Cancer investigation · Jan 2004
Multicenter Study Clinical TrialA phase I trial of olanzapine (Zyprexa) for the prevention of delayed emesis in cancer patients: a Hoosier Oncology Group study.
Chemotherapy-induced delayed emesis (DE) can affect up to 50% to 70% of patients receiving moderately and highly emetogenic chemotherapy, although rates are improving. DE most commonly occurs within the first 24 to 48 hours of chemotherapy administration and can persist for 2 to 5 days. Olanzapine, due to its activity at multiple dopaminergic, serotonergic, muscarinic, and histaminic receptor sites, has potential as antiemetic therapy. ⋯ Four of six patients receiving highly emetogenic chemotherapy (cisplatin, > or = 70 mg/m2) and nine of nine patients receiving moderately emetogenic chemotherapy (doxorubicin, > or = 50 mg/m2) had complete control (no vomiting episodes) of DE. Therefore, olanzapine may be an effective agent for the prevention of chemotherapy-induced DE. A phase II trial is underway.
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Cancer investigation · Jan 2004
Comment Clinical TrialClinical course and pathologic findings after Gliadel and radiotherapy for newly diagnosed malignant glioma: implications for patient management.
Randomized trials have demonstrated Gliadel improves survival for appropriately selected patients with newly diagnosed malignant glioma. As only limited information is available to guide the management of patients who have Gliadel controlled-release BCNU wafers implanted in the cranial resection cavity prior to radiotherapy (RT), this retrospective review was conducted to describe clinical course, toxicity, and pathologic findings after this therapy for newly diagnosed malignant glioma. Forty-six consecutive patients receiving Gliadel (3.8% BCNU impregnated wafers) followed by radiotherapy for newly diagnosed malignant glioma at Johns Hopkins Hospital from 1990 to August 1999 were identified, although one was lost to follow up and is excluded. ⋯ Median survival in excess of one year suggests that there are not complications that result in overall premature death. The finding of necrosis/treatment effect was noted in five of 45 (11%) of all patients and five of 15 (33%) of those undergoing reoperation. Therefore, the possibility of necrosis/treatment effect should be considered for each patient with radiographic findings suspicious for local recurrence.
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Cancer investigation · Jan 2004
Comparative StudyPrediction of survival for advanced cancer patients by recursive partitioning analysis: role of Karnofsky performance status, quality of life, and symptom distress.
We performed an exploratory recursive partitioning analysis (RPA) in 429 metastatic cancer patients who had completed a Functional Assessment of Cancer Therapy-General (FACT-G) and a Memorial Symptom Assessment Scale-Short Form (MSAS-SF) to define survival prognostic groups. The Cox model analysis also was performed. Both RPA and Cox models included Karnofsky performance status (KPS), age, FACT-G subscales, and MSAS-SF subscales as survival predictors. ⋯ The Cox model found, in addition to KPS (p < .0001) and physical well-being (p = .08), different predictors: psychological symptom distress (p = .0007), global distress index (p = .02), and age (p < .0001). We concluded that the KPS, quality of life, and symptom distress scores can be combined to define prognostic groups. Such models may be helpful for clinical decision making.
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Cancer investigation · Jan 2004
CommentMerging claims databases with a tumor registry to evaluate variations in cancer mortality: results from a pilot study of 698 colorectal cancer patients treated at one hospital in the 1990s.
Prognostic models are essential for evaluating variations in cancer mortality statistics. While cancer stage is the most widely accepted and commonly used predictor of survival for cancer, electronic claims databases contain large amounts of information on cancer patients. Previous studies have used Medicare databases and tumor registry information from the Surveillance Epidemiology and End Results data sets to evaluate variations in outcomes for older cancer patients. We evaluated if similar analytic efforts could be carried out with readily available data sets for colorectal cancer patients of all ages who received care at a single hospital during the 1990s. ⋯ While cancer stage is a reliable predictor of survival, other sociodemographic and clinical data elements can improve the evaluation of expected survival rates for patients with surgically resectable colorectal cancers. To facilitate comparative interpretations of mortality data, consideration should be given to merging hospital discharge claims data sets with tumor registry information in a manner analogous to that which has been done for older cancer patients who are covered by the Medicare program.