Pegvisomant 20mg powder and solvent for solution for injection vials
Requires a prescription from a doctor or prescriber
Pegvisomant is a highly selective growth hormone (GH) receptor antagonist.
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Yellow Card reports
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Suspected adverse reactions reported for Pegvisomant
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Data from the MHRA Yellow Card scheme. A reported reaction does not necessarily mean the medicine caused it. Contains public sector information licensed under the Open Government Licence v3.0.
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Suspected adverse reactions reported for Pegvisomant
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Somavert 20mg powder and solvent for solution for injection vials
WHO defined daily dose (DDD)
10 mg
Not a recommended dose. The DDD is the assumed average maintenance dose per day for a drug used for its main indication in adults. It is a statistical measure used for research and comparison purposes only.
Source: WHO Collaborating Centre for Drug Statistics Methodology, distributed via the NHS dm+d supplementary BNF/ATC mapping files (NHSBSA). Contains public sector information licensed under the Open Government Licence v3.0.
Therapeutically similar medicines
Similarity is based on WHO Anatomical Therapeutic Chemical (ATC) classification and on a factual NHS dm+d therapeutic-grouping code prefix. Source data: NHS dm+d via TRUD (OGL v3.0), WHO ATC/DDD Index.
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Pharmacy links redirect to the retailer's own search and do not represent real-time stock levels. Shortage and safety information sourced from MHRA drug safety updates (gov.uk, Crown Copyright under OGL v3.0).
Codes for healthcare professionals and prescribing systems
These codes are used by healthcare IT systems and prescribers to identify this medicine.
NHS UK identifiers
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SNOMED CT and dm+d codes from NHS TRUD (Technology Reference data Update Distribution), licensed under the Open Government Licence v3.0. BNF code shown is the factual mapping value distributed by NHS Business Services Authority (NHSBSA) in the dm+d supplementary file under OGL v3.0; it is not affiliated with, nor licensed from, the publishers of the British National Formulary. ATC codes from the WHO Collaborating Centre for Drug Statistics Methodology (whocc.no).
Active and completed clinical studies from ClinicalTrials.gov
Source: ClinicalTrials.gov, a database of the U.S. National Library of Medicine (NLM), National Institutes of Health (NIH). Data accessed via ClinicalTrials.gov API v2. Trial information is provided for research purposes and does not constitute medical advice.
Academic studies and reviews for this medicine's active substance
Showing the 50 most relevant studies.
Reviews & meta-analyses: 26 · Randomised trials: 2 · 2000–2026
Showing the 50 most relevant studies, sorted by most relevant.
Tiziana Feola, Alessia Cozzolino, Ilaria Simonelli, et al.
The Journal of Clinical Endocrinology & Metabolism, 2019
- Acromegaly
- Blood Glucose
- Cholesterol
Letícia Paula Leonart, Fernanda S. Tonin, Vinícius Lins Ferreira, et al.
Endocrine, 2018
- Acromegaly
- Longitudinal Studies
- Human Growth Hormone
Costanza F, Basile C, Chiloiro S, et al.
2025
- Acromegaly
- Somatostatin
- Glucose
BackgroundPasireotide long-acting release (PasiLAR), a somatostatin multireceptor ligand, is effective in achieving biochemical control but can increase the risk of hyperglycemia in acromegaly. However, the impact of PasiLAR on lipid and glucose metabolism in patients with acromegaly has not been systematically studied. This systematic review aimed at synthesizing evidence on PasiLAR effects (as monotherapy or combination therapy with pegvisomant) on lipid and glucose metabolism in patients with acromegaly.MethodsMEDLINE, Embase, Cochrane Library, and Web of Science were searched for studies published between 2000 and 2024. Prospective and retrospective studies reporting metabolic outcomes before and under PasiLAR treatment for a minimum follow-up of 6 months. Two reviewers screened eligible publications (3441), extracted outcomes, and assessed risk of bias.ResultsNineteen studies (896 patients) were included in the meta-analysis. PasiLAR was associated with increased fasting plasma glucose (FPG) (mean difference [MD] 23.4 mg/dL, 95% confidence interval [95%CI] 18.8-28.1]) and glycated hemoglobin (HbA1c) (MD 0.5%, 95%CI 0.4-0.7). A higher frequency of diabetes mellitus (DM) was observed after treatment (odds ratio 3.7, 95%CI 2.9-4.7). No significant changes in triglycerides, total cholesterol, or low-density lipoprotein cholesterol (LDL-C), and a modest but significant increase in high-density lipoprotein cholesterol (HDL-C) were recorded (MD 6.2 mg/dL, 95%CI 1.4-10.9]).ConclusionsIn this large meta-analysis, PasiLAR was associated with increased HDL-C, FPG, HbA1c, and frequency of DM in patients with acromegaly. There was no effect on triglycerides, total cholesterol, and LDL-C.Prospero registration numberCRD42024544686.
Abstract licence: CC BY
Kaparounaki C, Ilie MD, De Alcubierre D, et al.
2025
- Acromegaly
- Growth Hormone-Secreting Pituitary Adenoma
- Adenoma
ObjectiveAcromegaly is a rare disorder caused by a growth hormone-secreting pituitary adenoma. Clinical trial evidence for its management is limited. This study compared medical treatments for acromegaly through a network meta-analysis, assessing biochemical and radiological responses.DesignA systematic review and network meta-analysis were conducted following the preferred reporting items for systematic reviews and network meta-analyses guidelines and Cochrane Handbook recommendations (PROSPERO registration: CRD42023364373).MethodsPubMed, Scopus, and Web of Science were searched up to June 2024. Included studies were randomized controlled trials and nonrandomized studies evaluating the efficacy or safety of acromegaly treatments. Primary outcomes were the percentage of adjusted insulin-like growth factor 1 (IGF-1) normalization and tumor shrinkage.ResultsTwenty-seven studies, involving 4131 patients and 11 treatments were included. Pegvisomant was the best treatment for IGF-1 normalization, followed by pasireotide LAR. Both outperformed first-generation somatostatin receptor ligands (SRLs) combined with dopamine agonists (odds ratio [OR], 1.83; 95% CIs, 1.37-2.46 and OR, 1.46; 95% CIs, 1.02-2.08, respectively; I2 = 41%). Octreotide LAR was superior to oral octreotide capsules (OR, 5.41; 95% CIs, 1.89-15.52). For tumor shrinkage, pasireotide LAR was more effective than SRLs (n = 1059; OR, 11.47; 95% CIs, 1.5-87.64; I2 = 0%). Methodological heterogeneity may have affected comparability.ConclusionsOur findings suggest pasireotide LAR and pegvisomant as the most effective treatments for IGF-1 normalization. Pasireotide LAR was the best treatment for tumor shrinkage, though the evidence base was limited, requiring cautious interpretation. Their potential role as first-line options after surgery requires further research. Clinical decisions should consider cost, safety, and patient-specific parameters to optimize outcomes.
Abstract licence: CC BY
Salvatori R, Colzani RM, Hummel N, et al.
2026
- Acromegaly
- Peptides, Cyclic
- Octreotide
ContextThere are limited head-to-head trials comparing pharmacological treatments for acromegaly.ObjectiveSystematically review the efficacy and safety of pharmacological treatments for acromegaly and conduct a network meta-analysis (NMA) enabling indirect comparisons.MethodsMEDLINE and Embase were searched to identify randomized controlled trials (RCTs) of acromegaly therapies. Screening and data extraction followed PRISMA guidelines. Feasibility assessment evaluated homogeneity and consistency assumptions required for NMA. Bayesian NMAs estimated relative treatment effects and ranking probabilities.ResultsTwenty-two records covering 18 RCTs were included. Biochemical control rates were comparable among long-acting injectable somatostatin receptor ligands (SRLs), including lanreotide autogel (LAN-ATG), octreotide long-acting release (OCT-LAR), pasireotide, the GH receptor antagonist pegvisomant, oral octreotide (O-OCT), octreotide subcutaneous depot (SC-OCT-D), and the once-daily oral SRL paltusotine. Paltusotine demonstrated significantly higher biochemical control vs O-OCT and SC-OCT-D (odds ratios [ORs], 95% credible intervals [CrIs]: 7.34 [1.48-36.07] and 7.85 [1.72, 36.25]). Pasireotide showed significantly higher biochemical control vs OCT-LAR (OR: 2.03 [1.29-3.23]). Paltusotine had significantly lower discontinuations due to adverse events (AEs) vs O-OCT and SC-OCT-D, (ORs: 0.022 [0.001-0.424] and 0.022 [0.001-0.343]), with similar rates to other treatments. Treatment-emergent AEs (TEAEs) and serious TEAEs were comparable across treatments. Rankings suggested paltusotine as the treatment with the highest probability of ranking as the most effective (or tolerable) treatment across all endpoints studied.ConclusionThis systematic review and NMA consolidate recent high-quality RCT evidence for acromegaly treatments. Paltusotine emerges as a promising alternative to injectable SRLs, with favorable efficacy, safety, and AE-related discontinuation patterns. These findings may inform clinical decision-making and guideline development, if confirmed by clinical experience.
Abstract licence: CC BY
Peter Trainer, Shereen Ezzat, Gwyn D'Souza, et al.
Clinical Endocrinology, 2009
- Acromegaly
- Delayed-Action Preparations
- Insulin-Like Growth Factor I
A. J. van der Lely, Beverly M. K. Biller, Thierry Brue, et al.
The Journal of Clinical Endocrinology & Metabolism, 2012
- Acromegaly
- Hormone Antagonists
- Liver Function Tests
Raverot G, Chanson P, Delemer B, et al.
2025
- Acromegaly
- Somatostatin
- Human Growth Hormone
ObjectiveThis updated French cost-utility analysis aimed to assess the efficacy of the second-line pharmacological treatment - pegvisomant, pasireotide or pegvisomant combined with first generation somatostatin analogues (FGSA) - considering first-line treatment (surgery, FGSA, cabergoline and combination), radiotherapy and the impact of treatment on tumor volume.MethodsThe original three-state Markov model was revised to include an additional health state, representing patients controlled without pharmacological treatment following successful radiotherapy. The model also accounted for the history of first-line treatments as additional costs upon patients' entry. A cohort of 1000 simulated patients was followed over a lifetime horizon from a collective perspective. Treatment efficacy is defined on normalization of insulin growth factor-1 and was determined through a network meta-analysis. Cost and utility data were sourced from French databases and literature.ResultsAll the evaluated treatments were included in an efficiency frontier. The incremental cost-utility ratio (ICUR) of pegvisomant compared to pasireotide was 27,805€ per quality-adjusted life year (QALY) gained. The ICUR of pegvisomant combined with FGSA compared to pegvisomant was 253,854€/QALY. Sensitivity analyses showed the robustness of the results. The addition of radiotherapy has shown improved quality of life and lower costs for all second-line treatments.ConclusionThis model explores the cost-effectiveness of second-line pharmacological treatments of acromegaly accounting for the overall management recommended in France. Radiotherapy appears as a key therapeutic option allowing long-term remission of patients even after pharmacological treatment failure. This study is an additional tool for treatment choice including both a clinical and economic perspective.Significance statementThe aim of this study is to assess the cost-utility of second-line treatments of acromegaly accounting for the overall management recommended in France, considering surgery, first-line treatments, radiotherapy and the impact of treatments on tumor volume, in addition to IGF-1 normalization. All evaluated treatments were included in an efficiency frontier. This addition has shown that radiotherapy and the impact on tumor volume are decisive in the management of second-line treatments for acromegaly. Indeed, radiotherapy enables patients to achieve complete remission, i.e. without the need for drug treatment. This is an important factor for patients, given that acromegaly treatments are chronic and usually lifelong. This study is an additional tool for treatment choice including both a clinical and economic perspective.
Abstract licence: CC BY
S. Franck, L. Broer, A. J. van der Lely, et al.
Neuroendocrinology, 2016
David Moore, Yaser Adi, Martin Connock, et al.
BMC Endocrine Disorders, 2009
Sources: aggregated from Europe PMC (EMBL-EBI), OpenAlex, Crossref, PubMed and other open scholarly databases. Retracted articles are excluded. Study information is provided for research purposes and does not constitute medical advice.
Pharmacology and chemical data from DrugBank
Key facts
Drug status
Approved
Major interactions
None known
Half-life
6 days
Mechanism
Somavert selectively binds to growth hormone (GH) receptors on cell surfaces, wh…
Food interactions
None known
Human targets
1 target
Data: DrugBank · CC BY-NC 4.0
Pharmacokinetics at a glance
Half-life
6 days
Volume of distribution
7 L
Clearance
36 - 28 mL
Pharmacokinetic data: DrugBank · CC BY-NC 4.0
Known interactions with other medications. Always consult a healthcare professional.
Showing 50 of 523 interactions
How the body processes this drug — absorption, distribution, metabolism, and elimination
Proteins and enzymes this drug interacts with in the body
PMID:1549776 PMID:2825030 PMID:8943276
On ligand binding, couples to the JAK2/STAT5 pathway PMID:1549776 PMID:15690087 PMID:2825030 PMID:8943276
Enzymes involved in drug metabolism — important for understanding drug interactions
ATC H01AX01
Chemical identifiers
CAS, UNII, InChI Key and database cross-references
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Chemical identifiers
CAS, UNII, InChI Key and database cross-references
Linked compound data from DrugBank Open Data (CC BY-NC 4.0)
Pegvisomant
Additional database identifiers
Drugs Product Database (DPD)
16581
HUGO Gene Nomenclature Committee (HGNC)
HGNC:4263
GenAtlas
GHR
GeneCards
GHR
GenBank Gene Database
X06562
GenBank Protein Database
31738
Guide to Pharmacology
1720
UniProt Accession
GHR_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2605
GenAtlas
CYP27A1
GeneCards
CYP27A1
GenBank Gene Database
M62401
GenBank Protein Database
181292
Guide to Pharmacology
1369
UniProt Accession
CP27A_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:4341
GenAtlas
GLUL
GeneCards
GLUL
GenBank Gene Database
Y00387
GenBank Protein Database
31833
UniProt Accession
GLNA_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2637
GenAtlas
CYP3A4
GeneCards
CYP3A4
GenBank Gene Database
M18907
Guide to Pharmacology
1337
UniProt Accession
CP3A4_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:983
GenAtlas
BCHE
GeneCards
BCHE
GenBank Gene Database
M32391
GenBank Protein Database
1311630
Guide to Pharmacology
2471
UniProt Accession
CHLE_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2642
GenAtlas
CYP4A11
GeneCards
CYP4A11
GenBank Gene Database
L04751
GenBank Protein Database
181397
Guide to Pharmacology
1341
UniProt Accession
CP4AB_HUMAN
DrugBank citations
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Structured knowledge from the free knowledge base
ATC classifications (Wikidata)
Linked open data from Wikidata (Q409697), a free and open knowledge base operated by the Wikimedia Foundation. Data is available under the Creative Commons CC0 1.0 Public Domain Dedication.