Estimation of risk of neuropsychiatric adverse events from varenicline, bupropion and nicotine patch versus placebo: secondary analysis of results from the EAGLES trial using Bayes factors.


Journal

Addiction (Abingdon, England)
ISSN: 1360-0443
Titre abrégé: Addiction
Pays: England
ID NLM: 9304118

Informations de publication

Date de publication:
10 2021
Historique:
revised: 14 04 2020
received: 11 02 2020
accepted: 27 01 2021
pubmed: 23 4 2021
medline: 30 9 2021
entrez: 22 4 2021
Statut: ppublish

Résumé

Analysed using classical frequentist hypothesis testing with alpha set to 0.05, the Evaluating Adverse Events in a Global Smoking Cessation Study (EAGLES) did not find enough evidence to reject the hypothesis of no difference in neuropsychiatric adverse events (NPSAEs) attributable to varenicline, bupropion, or nicotine patch compared with placebo. This might be because the null hypothesis was true or because the data were insensitive. The present study aimed to test the hypothesis more directly using Bayes factors. EAGLES was a randomised, double-blind, triple-dummy, controlled trial. Global (16 countries across five continents), between November 2011 and January 2015. Participants were smokers with (n = 4116) and without (n = 4028) psychiatric disorders. Varenicline (1 mg twice daily), bupropion (150 mg twice daily), nicotine patch (21 mg once daily with taper) and matched placebos. The outcomes included: (i) a composite measure of moderate/severe NPSAEs; and (ii) a composite measure of severe NPSAEs. The relative evidence for there being no difference in NPSAEs versus data insensitivity for the medications was calculated in the full and sub-samples using Bayes factors and corresponding robustness regions. For all but two comparisons, Bayes factors were <1/3, indicating moderate to strong evidence for no difference in risk of NPSAEs between active medications and placebo (Bayes factor = 0.02-0.23). In the psychiatric cohort versus placebo, the data were suggestive, but not conclusive of no increase in NPSAEs with varenicline (Bayes factor = 0.52) and bupropion (Bayes factor = 0.71). Here, the robustness regions ruled out a ≥7% and ≥8% risk increase with varenicline and bupropion, respectively. Secondary analysis of the Evaluating Adverse Events in a Global Smoking Cessation Study trial using Bayes factors provides moderate to strong evidence that use of varenicline, bupropion or nicotine patches for smoking cessation does not increase the risk of neuropsychiatric adverse events relative to use of placebo in smokers without a history of psychiatric disorder. For smokers with a history of psychiatric disorder the evidence also points to no increased risk but with less confidence.

Sections du résumé

BACKGROUND AND AIMS
Analysed using classical frequentist hypothesis testing with alpha set to 0.05, the Evaluating Adverse Events in a Global Smoking Cessation Study (EAGLES) did not find enough evidence to reject the hypothesis of no difference in neuropsychiatric adverse events (NPSAEs) attributable to varenicline, bupropion, or nicotine patch compared with placebo. This might be because the null hypothesis was true or because the data were insensitive. The present study aimed to test the hypothesis more directly using Bayes factors.
DESIGN
EAGLES was a randomised, double-blind, triple-dummy, controlled trial.
SETTING
Global (16 countries across five continents), between November 2011 and January 2015.
PARTICIPANTS
Participants were smokers with (n = 4116) and without (n = 4028) psychiatric disorders.
INTERVENTIONS
Varenicline (1 mg twice daily), bupropion (150 mg twice daily), nicotine patch (21 mg once daily with taper) and matched placebos.
MEASUREMENTS
The outcomes included: (i) a composite measure of moderate/severe NPSAEs; and (ii) a composite measure of severe NPSAEs. The relative evidence for there being no difference in NPSAEs versus data insensitivity for the medications was calculated in the full and sub-samples using Bayes factors and corresponding robustness regions.
FINDINGS
For all but two comparisons, Bayes factors were <1/3, indicating moderate to strong evidence for no difference in risk of NPSAEs between active medications and placebo (Bayes factor = 0.02-0.23). In the psychiatric cohort versus placebo, the data were suggestive, but not conclusive of no increase in NPSAEs with varenicline (Bayes factor = 0.52) and bupropion (Bayes factor = 0.71). Here, the robustness regions ruled out a ≥7% and ≥8% risk increase with varenicline and bupropion, respectively.
CONCLUSIONS
Secondary analysis of the Evaluating Adverse Events in a Global Smoking Cessation Study trial using Bayes factors provides moderate to strong evidence that use of varenicline, bupropion or nicotine patches for smoking cessation does not increase the risk of neuropsychiatric adverse events relative to use of placebo in smokers without a history of psychiatric disorder. For smokers with a history of psychiatric disorder the evidence also points to no increased risk but with less confidence.

Identifiants

pubmed: 33885203
doi: 10.1111/add.15440
pmc: PMC8612131
doi:

Substances chimiques

Benzazepines 0
Nicotinic Agonists 0
Quinoxalines 0
Bupropion 01ZG3TPX31
Varenicline W6HS99O8ZO

Banques de données

ClinicalTrials.gov
['NCT01456936']

Types de publication

Journal Article Randomized Controlled Trial Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2816-2824

Subventions

Organisme : NIAAA NIH HHS
ID : R21 AA027634
Pays : United States
Organisme : NIDA NIH HHS
ID : U01 DA051077
Pays : United States
Organisme : Cancer Research UK
Pays : United Kingdom

Informations de copyright

© 2021 The Authors. Addiction published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.

Références

Ann Intern Med. 2013 Sep 17;159(6):390-400
pubmed: 24042367
Am J Psychiatry. 2011 Dec;168(12):1266-77
pubmed: 22193671
Cochrane Database Syst Rev. 2013 May 31;(5):CD009329
pubmed: 23728690
Am J Psychiatry. 2013 Dec;170(12):1460-7
pubmed: 24030388
Front Psychol. 2014 Jul 29;5:781
pubmed: 25120503
Addiction. 2016 Dec;111(12):2230-2247
pubmed: 27347846
Lancet. 2016 Jun 18;387(10037):2507-20
pubmed: 27116918
Addiction. 2021 Oct;116(10):2816-2824
pubmed: 33885203
BMJ. 2015 Mar 12;350:h1109
pubmed: 25767129

Auteurs

Emma Beard (E)

Research Department of Behavioural Science and Health, University College London, London, UK.

Sarah E Jackson (SE)

Research Department of Behavioural Science and Health, University College London, London, UK.

Robert M Anthenelli (RM)

Department of Psychiatry, University of California, San Diego, CA, USA.

Neal L Benowitz (NL)

University of California, San Francisco, CA, USA.

Lisa St Aubin (LS)

Pfizer Inc, New York, NY, USA.

Thomas McRae (T)

Pfizer Inc, New York, NY, USA.

David Lawrence (D)

Pfizer Inc, New York, NY, USA.

Cristina Russ (C)

Pfizer Inc, New York, NY, USA.

Alok Krishen (A)

Formerly at GSK, Research Triangle Park, NC, USA.

A Eden Evins (AE)

Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Robert West (R)

Research Department of Behavioural Science and Health, University College London, London, UK.

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Classifications MeSH