IntroductionChronic Myeloid Leukaemia (CML) constitutes 15% of new adult leukaemia cases as well as 2%–3% of leukaemia in children under 15% and 9% of leukaemias in adolescents 15–19 years of age annually. The introduction of Tyrosine Kinase Inhibitors (TKI) therapy has dramatically improved survival in these patients, yet the off-target effects of this treatment may have long-term health impacts on CML survivors. The risk of adverse health outcomes is especially important in children, where TKI exposure may occur during critical windows of growth and puberty, and patients require treatment for prolonged periods of time. The aim of this systematic review protocol is to report on the methods used to conduct a systematic review to investigate the endometabolic and bone health effects of TKI therapy in CML.Methods and analysisSearches will be conducted in the Cochrane Central Register of Controlled Trials, EMBASE and MEDLINE from inception on August 1st, 2019. Searches may be updated while performing the systematic review to ensure new evidence is included if applicable. Grey literature search will include ClinicalTrials.gov and ProQuest Dissertations and Theses A&I. We will perform a meta-analysis if there are at least two studies reporting similar populations, interventions, methods and tracking the same outcome measures. The studies should also have similar age and sex distributions.Ethics and disseminationAs this is a systematic review protocol, it does not include patient data; therefore, Research Ethics Board approval is not indicated. The systematic review will be published in a peer-reviewed journal and presented at international conferences.PROSPERO registration numberCRD42018091175.
Introduction Tyrosine kinase inhibitors (TKIs) have revolutionized the treatment of chronic myeloid leukemia (CML). Many endocrine receptors, such as insulin receptors, are tyrosine kinase receptors. Hence, TKIs may have effects that impact endocrine function. However, it is not clear to what extent glycemic outcomes are affected by TKI use in this patient population, including children (<18 years of age). A better understanding of these health outcomes and identification of populations at high risk for these effects is critical for choice of TKI and instituting appropriate long-term monitoring. Thus, the aim of this systematic review is to summarize the glycemic outcomes in patients with CML on TKI therapy. Methods A systematic review of the literature up until January 2018 was conducted, utilizing databases including Cochrane Central, EMBASE, and MEDLINE. We included randomized controlled trials (RCT), quasi-RCT, cohort studies, cross-sectional studies and case-series. Eligible studies included male and female CML patients of all ages receiving treatment with TKIs including imatinib, dasatinib, nilotinib, ponatinib, or bosutinib. We included studies that reported glycemic outcomes as a primary or secondary outcome. Markers of glycemia reported include fasting plasma glucose (FPG), random blood glucose, HbA1c, and Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) if reported. Additionally, a meta-analysis was planned if two or more studies with similar designs comparing the similar population and measuring the same outcome were identified. Titles, abstracts, and full text papers were reviewed by two independent reviewers and a third reviewer was consulted to resolve disputes. Results Out of 607 full-text studies retrieved, six studies met the inclusion criteria. These studies included 10 to 267 patients. None of these studies included children. Elevations in FPG levels were demonstrated across all trials using nilotinib. The prevalence of hyperglycemia in these studies ranged from 2.7% to 35.3% within the study populations. One cohort study comparing nilotinib, imatinib, and dasatinib demonstrated that increase in FPG levels with nilotinib treatment was more significant that with imatinib (p = 0.015), and dasatinib (p = 0.009), but no significant differences between dasatinib and imatinib (p = 0.95). A second cohort study comparing nilotinib and imatinib also revealed an increased prevalence of hyperglycemia with Nilotinib use (35.3%) compared to Imatinib use (27.3%). No studies were identified that evaluated glycemic control in bosutinib or ponatinib treated patients. Two studies reported an increase in HOMA-IR with nilotinib use, however, this was not associated with an increase in HbA1c levels, a diagnostic marker of pre-diabetes and diabetes. Conclusions Nilotinib use appears to be associated with dysglycemia to a greater extent than other TKIs in adult CML patients. However, the clinical significance of hyperglycemia while on TKI treatment and future diabetes risk remains unclear. There were no data outlining the glycemic effects of TKI in the pediatric age group. Glycemic and metabolic outcomes in CML patients should be closely monitored, and further research is needed to elucidate the glycemic control in pediatric patients with CML since they are likely to use lifelong TKI therapy. Disclosures Hillis: Bristol-Myers Squibb: Honoraria; Novartis: Honoraria.
Revue canadienne des soins respiratoires et critiques et de la médecine du sommeil
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