The Epidemiology of Pituitary Adenomas.

Acromegaly Cushing’s disease Epidemiology Incidence Nonfunctioning pituitary adenoma Pituitary adenoma Prevalence Prolactinoma

Journal

Endocrinology and metabolism clinics of North America
ISSN: 1558-4410
Titre abrégé: Endocrinol Metab Clin North Am
Pays: United States
ID NLM: 8800104

Informations de publication

Date de publication:
09 2020
Historique:
entrez: 4 8 2020
pubmed: 4 8 2020
medline: 22 6 2021
Statut: ppublish

Résumé

Pituitary adenomas are usually nonmalignant, but have a heavy burden on patients and health care systems. Increased availability of MRI has led to an increase in incidentally found pituitary lesions and clinically relevant pituitary adenomas. Epidemiologic studies show that pituitary adenomas are increasing in incidence (between 3.9 and 7.4 cases per 100,000 per year) and prevalence (76 to 116 cases per 100,000 population) in the general population (approximately 1 case per 1000 of the general population). Most new cases diagnosed are prolactinomas and nonsecreting pituitary adenomas. Most clinically relevant pituitary adenomas occur in females, but pituitary adenomas are clinically heterogeneous.

Identifiants

pubmed: 32741475
pii: S0889-8529(20)30025-6
doi: 10.1016/j.ecl.2020.04.002
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

347-355

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Disclosure The work was supported in part by grants from the FIRS funds of the CHU de Liège and by the JABBS Foundation, UK.

Auteurs

Adrian F Daly (AF)

Department of Endocrinology, Centre Hospitalier Universitaire de Liège, Liège Université, Domaine Universitaire Sart-Tilman, Liège 4000, Belgium. Electronic address: Adrian.daly@uliege.be.

Albert Beckers (A)

Department of Endocrinology, Centre Hospitalier Universitaire de Liège, Liège Université, Domaine Universitaire Sart-Tilman, Liège 4000, Belgium. Electronic address: albert.beckers@chu.ulg.ac.be.

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Classifications MeSH