Pegvisomant Improves Glucose Metabolism in Acromegaly: A Meta-Analysis of Prospective Interventional Studies.


Journal

The Journal of clinical endocrinology and metabolism
ISSN: 1945-7197
Titre abrégé: J Clin Endocrinol Metab
Pays: United States
ID NLM: 0375362

Informations de publication

Date de publication:
01 07 2019
Historique:
received: 23 10 2018
accepted: 06 03 2019
pubmed: 15 3 2019
medline: 2 6 2020
entrez: 15 3 2019
Statut: ppublish

Résumé

Pegvisomant (PEG) in monotherapy or combined with somatostatin analogs (SSAs) is used to control acromegaly, improving metabolism. However, the metabolic changes induced by PEG have not been systematically reviewed. To address the following questions: does PEG or the combination of PEG and SSAs affect fasting plasma glucose (FPG), glycosylated Hb (HbA1c), glucose load (2-hour oral glucose tolerance test), insulin levels [fasting plasma insulin (FPI)], homeostatic model assessment of insulin resistance (HOMA-I), homeostatic model assessment of β-cell function, lipid profile, or body mass index? Are the effects disease-related or drug-related? Indexed databases up to January 2019. Prospective interventional trials reporting glycometabolic outcomes under PEG or PEG plus SSAs for a minimum of 6 months. Three reviewers screened eligible publications (7248), three others extracted the outcomes, and all assessed the risk of biases. Thirteen studies were included in the PEG and 5 in the PEG plus SSAs analysis (overall 550 subjects). PEG significantly decreased FPG [effect size (ES) -0.80 mmol/L (95% CI, -1.06 to -0.55); P = 0.000], HbA1c [ES -0.43% (95% CI, -0.56 to -0.31); P = 0.000], FPI [ES -5.31 mU/L (95% CI, -10.23 to -0.39); P = 0.034], and HOMA-I [ES -0.61 (95% CI, -1.17 to -0.04); P = 0.034]. Effects on FPG and FPI were not correlated to IGF-1 changes. The addition of PEG to SSAs mitigated the effects of SSAs on metabolism, producing an overall neutral effect. Independently of disease control, PEG in monotherapy or combined with SSAs seems to improve glucose metabolism, reducing FPG, HbA1c, FPI, and HOMA-I.

Identifiants

pubmed: 30869797
pii: 5376631
doi: 10.1210/jc.2018-02281
doi:

Substances chimiques

Blood Glucose 0
Cholesterol, HDL 0
Cholesterol, LDL 0
Glycated Hemoglobin A 0
Peptides, Cyclic 0
Receptors, Somatotropin 0
Triglycerides 0
hemoglobin A1c protein, human 0
lanreotide 0G3DE8943Y
Human Growth Hormone 12629-01-5
Somatostatin 51110-01-1
Cholesterol 97C5T2UQ7J
pegvisomant N824AOU5XV
Octreotide RWM8CCW8GP

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

2892-2902

Informations de copyright

Copyright © 2019 Endocrine Society.

Auteurs

Tiziana Feola (T)

Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy.

Alessia Cozzolino (A)

Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy.

Ilaria Simonelli (I)

Medical Statistics and Information Technology, AFaR-Fatebenefratelli Hospital, Rome, Italy.

Emilia Sbardella (E)

Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy.

Carlotta Pozza (C)

Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy.

Elisa Giannetta (E)

Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy.

Daniele Gianfrilli (D)

Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy.

Patrizio Pasqualetti (P)

Medical Statistics and Information Technology, AFaR-Fatebenefratelli Hospital, Rome, Italy.

Andrea Lenzi (A)

Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy.

Andrea M Isidori (AM)

Department of Experimental Medicine, Sapienza University of Rome, Rome, Italy.

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Classifications MeSH