Assessment of thyme honey oral gel for the prevention of adriamycin and cyclophosphamide chemotherapy-induced oral mucositis in patients with breast cancer.

PURPOSE: Oral mucositis (OM) is a common complication of cancer treatment that has an impact on a patient's quality of life and the outcome of cancer therapy. This trial evaluated the effect of thyme honey oral gel for the prevention of chemotherapy-induced OM. METHODS: One hundred ten breast cancer patients who received their first cycle of chemotherapy with adriamycin (60 mg/m2) and cyclophosphamide (600 mg/m2) were randomly recruited into two groups: group A were patients who followed general oral hygiene recommendations and rinsing saline 3 times a day, and group B were patients with similar protocol but supplied with our formulated oral gel to be applied 2 to 4 times a day. Patients were assessed by the World Health Organization (WHO) oral mucositis grading scales and self-assessment daily questionnaire. RESULTS: The use of thyme honey was associated with diminishing incidence of OM grade ≥ 2 (95% CI, 0.12 to 0.90; P = 0.030), duration of OM (- 3.36 days; 95% CI, - 5.50 to - 1.22; P = 0.037) and delayed occurrence of OM grade ≥ 2 (95% CI, 0.10 to 0.80; P = 0.017). CONCLUSION: Thyme honey can be considered as a prophylactic agent for OM and decrease the severity of its symptoms. TRIAL REGISTRATIONS: This protocol was registered at the Iranian Registry of Clinical Trials: registration number IRCT201506063106N25, on June 12, 2015; approved by the institutional review board at the Deputy of Research, Pharmaceutical Sciences Branch, Islamic Azad University, Tehran, Iran; and approved by the Ethics Committee of Medical Researches of Pharmaceutical Sciences Branch of Islamic Azad University, Tehran, Iran-reference number 5936, on August 17, 2014.

Estimation of the prevalence and direct medical costs of chronic myeloid leukemia in the I.R. of Iran in the era of tyrosine kinase inhibitors.

BACKGROUND: After the introduction of tyrosine kinase inhibitors for chronic myeloid leukemia (CML), the survival of these patients has increased significantly. However, these new drugs are expensive and impose considerable expense to patients and governments. Epidemiologic and economic evaluation studies provide good information for resource allocation and decision making. We estimated the incidence, prevalence and direct medical cost of CML in Iran. METHODS: We used the National Cancer Registry (NCR) data from 2006 to 2009 to estimate the incidence rate of CML (ICD-10 code C92.1). After adjustment for the underestimation of incidence rates, we used survival rates of CML and estimated the 5-year prevalence for these patients. In addition, we used clinical practice guideline, expert opinions and medical tariffs to estimate the direct medical costs through the prevalence approach. RESULTS: After an adjustment for the underestimation, the incidence rate of CML was 0.5 per 100 000 in the I.R. of Iran. The 5-year prevalence was about 2263 cases (2.98 per 100 000). The total direct medical cost of CML was $23 089 323 and the majority of the cost (97%) was related to drug costs. The total cost will increase considerably to $40 728 869 if all patients use the new drug nilotinib (800 mg/day) as a second-line treatment. CONCLUSIONS: The increased survival of CML patients and a possible increase in incidence of CML in Iran will most likely lead to a considerable rise in its prevalence and economic burden.

Assessment of risk factors affecting recurrence of patients with gastric cancer in the presence of informative censoring in Iran.

BACKGROUND: In some survival studies, several events are taken into consideration. If the events are independent then the ordinary methods such as Kaplan-Meier, Cox or parametric models can be used. If one of the events dependently (informatively) censors the other, the results are biased. The present study was designed to assess the risk factors for recurrence of patients with gastric cancer in the presence of informative censoring using parametric models with a semi-competing risk approach. MATERIALS AND METHODS: In a retrospective study, 408 cases of gastric cancer were selected from the patients referred to the Tehran Cancer Institute from March 2003 to March 2007. Gender, age at diagnosis, distant metastasis, tumor size, histology type, tumor grade, pathologic stage, tumor site, and type of treatment were studied as prognostic factors and used in the models. Parametric models such as Weibull, exponential, log-logistic were used with informative right censoring using Akaike Information Criteria (AIC) as criteria to compare models. The data were analyzed using R statistical software. A p-value of less than 0.05 was considered as statistically significant. RESULTS: Based on Akaike information criteria (AIC), the Weibull model best fitted to data. The effect of tumor size and pathologic stage were significant on recurrence in both univariate and multivariate analyses. Tumor site and tumor grade were significant only in univariate analysis. CONCLUSIONS: The results showed that semi-competing risk methods perform well in determining risk factors for disease recurrence.