O M Dekkers1, V Ehrenstein2, M Bengtsen2, D Kormendine Farkas2, A M Pereira3, H T Sørensen2, J O L Jørgensen4. 1. Department of Clinical EpidemiologyAarhus University Hospital, Aarhus, Denmark, Section of EndocrinologyDepartments of MedicineClinical EpidemiologyLeiden University Medical Center, Leiden, The NetherlandsDepartment of Endocrinology and Internal MedicineAarhus University Hospital, Aarhus, Denmark Department of Clinical EpidemiologyAarhus University Hospital, Aarhus, Denmark, Section of EndocrinologyDepartments of MedicineClinical EpidemiologyLeiden University Medical Center, Leiden, The NetherlandsDepartment of Endocrinology and Internal MedicineAarhus University Hospital, Aarhus, Denmark Department of Clinical EpidemiologyAarhus University Hospital, Aarhus, Denmark, Section of EndocrinologyDepartments of MedicineClinical EpidemiologyLeiden University Medical Center, Leiden, The NetherlandsDepartment of Endocrinology and Internal MedicineAarhus University Hospital, Aarhus, Denmark. 2. Department of Clinical EpidemiologyAarhus University Hospital, Aarhus, Denmark, Section of EndocrinologyDepartments of MedicineClinical EpidemiologyLeiden University Medical Center, Leiden, The NetherlandsDepartment of Endocrinology and Internal MedicineAarhus University Hospital, Aarhus, Denmark. 3. Department of Clinical EpidemiologyAarhus University Hospital, Aarhus, Denmark, Section of EndocrinologyDepartments of MedicineClinical EpidemiologyLeiden University Medical Center, Leiden, The NetherlandsDepartment of Endocrinology and Internal MedicineAarhus University Hospital, Aarhus, Denmark Department of Clinical EpidemiologyAarhus University Hospital, Aarhus, Denmark, Section of EndocrinologyDepartments of MedicineClinical EpidemiologyLeiden University Medical Center, Leiden, The NetherlandsDepartment of Endocrinology and Internal MedicineAarhus University Hospital, Aarhus, Denmark. 4. Department of Clinical EpidemiologyAarhus University Hospital, Aarhus, Denmark, Section of EndocrinologyDepartments of MedicineClinical EpidemiologyLeiden University Medical Center, Leiden, The NetherlandsDepartment of Endocrinology and Internal MedicineAarhus University Hospital, Aarhus, Denmark joj@clin.au.dk.
Abstract
OBJECTIVE: To enhance the precision of the risk estimate for breast cancer in hyperprolactinemia patients by collecting more data and pooling our results with available data from former studies in a meta-analysis. DESIGN: Population-based cohort study and meta-analysis of the literature. METHODS: Using nationwide registries, we identified all patients with a first-time diagnosis of hyperprolactinemia during 1994-2012 including those with a new breast cancer diagnoses after the start of follow-up. We calculated standardised incidence ratios (SIRs) as a measure of relative risk (RR) using national cancer incidence rates. We performed a meta-analysis, combining data from our study with data in the existing literature. RESULTS: We identified 2457 patients with hyperprolactinemia and 20 breast cancer cases during 19,411 person-years of follow-up, yielding a SIR of 0.99 (95% CI 0.60-1.52). Data from two additional cohort studies were retrieved and analyzed. When the three risk estimates were pooled, the combined RR was 1.04 (95% CI 0.75-1.43). CONCLUSIONS: We found no increased risk of breast cancer among patients with hyperprolactinemia.
OBJECTIVE: To enhance the precision of the risk estimate for breast cancer in hyperprolactinemiapatients by collecting more data and pooling our results with available data from former studies in a meta-analysis. DESIGN: Population-based cohort study and meta-analysis of the literature. METHODS: Using nationwide registries, we identified all patients with a first-time diagnosis of hyperprolactinemia during 1994-2012 including those with a new breast cancer diagnoses after the start of follow-up. We calculated standardised incidence ratios (SIRs) as a measure of relative risk (RR) using national cancer incidence rates. We performed a meta-analysis, combining data from our study with data in the existing literature. RESULTS: We identified 2457 patients with hyperprolactinemia and 20 breast cancer cases during 19,411 person-years of follow-up, yielding a SIR of 0.99 (95% CI 0.60-1.52). Data from two additional cohort studies were retrieved and analyzed. When the three risk estimates were pooled, the combined RR was 1.04 (95% CI 0.75-1.43). CONCLUSIONS: We found no increased risk of breast cancer among patients with hyperprolactinemia.
Authors: Renato Cozzi; Maria Rosaria Ambrosio; Roberto Attanasio; Claudia Battista; Alessandro Bozzao; Marco Caputo; Enrica Ciccarelli; Laura De Marinis; Ernesto De Menis; Marco Faustini Fustini; Franco Grimaldi; Andrea Lania; Giovanni Lasio; Francesco Logoluso; Marco Losa; Pietro Maffei; Davide Milani; Maurizio Poggi; Michele Zini; Laurence Katznelson; Anton Luger; Catalina Poiana Journal: Eur J Endocrinol Date: 2022-02-03 Impact factor: 6.664