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2 result(s) for "Geyer, Debbie"
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Incidence of cancer-related lymphoedema: a protocol for a living systematic review with meta-analysis
IntroductionGiven the projected rise in the incidence of cancer treatment-related conditions, such as lymphoedema, and the limited research on lymphoedema in cancers with poor prognoses, there is a need for a better understanding of cancer-related lymphoedema incidence and associated risk factors across all types of cancers. The objectives of this review are (1) to produce a resource on an open-access platform that facilitates continuous update of incidence estimates and risk factors as evidence emerges, (2) to provide the most up-to-date estimate of the incidence of cancer-related lymphoedema and (3) to evaluate the strength and consistency of the association between lymphoedema and cancer treatment and non-treatment-related risk factors.Methods and analysisA living systematic and grey literature search will be conducted to identify studies reporting the incidence, prevalence of lymphoedema or associated risk factors in individuals who have undergone treatment for any type of cancer. Two investigators will independently extract data and assess the risk of bias using the Cochrane Risk of Bias Tool Version 2.0, the Risk of Bias in Non-randomised Studies – of Interventions or the National Institutes of Health Heart, Lung and Blood Institute Study Quality Assessment Tools, depending on study design. The overall strength of evidence will be appraised with the Grading of Recommendations, Assessment, Development and Evaluations tool. Random effect models will be used to produce pooled overall lymphoedema incidence estimates. Subgroup analyses that explore relationships between lymphoedema incidence and lymphoedema measurement method, time since cancer diagnosis and treatment and diagnosis, treatment and behavioural characteristics will be conducted dependent on available data.Ethics and disseminationThis living systematic review enables clinicians and researchers to consult a contemporary, comprehensive overview of the incidence of cancer-related lymphoedema and the association between lymphoedema and treatment and non-treatment-related risk factors.PROSPERO registration numberCRD42022333291.
The Effect of Ethnicity in the Rate of Beta-Cell Functional Loss in the First 3 Years After Type 1 Diabetes Diagnosis
Abstract Objective We set forth to compare ethnicities for metabolic and immunological characteristics at the clinical diagnosis of type 1 diabetes (T1D) and assess the effect of ethnicity on beta-cell functional loss within 3 years after clinical diagnosis. Research Methods and Design We studied participants in TrialNet New Onset Intervention Trials (n = 624, median age = 14.4 years, 58% male, 8.7% Hispanic) and followed them prospectively for 3 years. Mixed meal tolerance tests (MMTT) were performed within 6 months following clinical diagnosis and repeated semiannually. Unless otherwise indicated, analyses were adjusted for age, sex, BMI Z-score, and diabetes duration. Results At T1D clinical diagnosis, Hispanics, compared with non-Hispanic whites (NHW), had a higher frequency of diabetic ketoacidosis (DKA) (44.7% vs 25.3%, OR = 2.36, P = 0.01), lower fasting glucose (97 vs 109 mg/dL, P = 0.02) and higher fasting C-peptide (1.23 vs 0.94 ng/mL, P = 0.02) on the first MMTT, and higher frequency of ZnT8 autoantibody positivity (n = 201, 94.1% vs 64%, OR = 7.98, P = 0.05). After exclusion of participants in experimental arms of positive clinical trials, C-peptide area under the curve (AUC) trajectories during the first 3 years after clinical diagnosis were not significantly different between Hispanics and NHW after adjusting for age, sex, BMI-z score, and DKA (n = 413, P = 0.14). Conclusion Despite differences in the metabolic and immunological characteristics at clinical diagnosis of T1D between Hispanics and NHW, C-peptide trajectories did not differ significantly in the first 3 years following clinical diagnosis after adjustment for body mass index and other confounders. These findings may inform the design of observational studies and intervention trials in T1D.