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Enregistrement W2990080012 · doi:10.1093/alcalc/agz083

Baclofen and Alcohol Use Disorders: Breakthrough or Great White Elephant?

2019· article· en· W2990080012 sur OpenAlexaffabout
Alain Braillon, Florian Naudet, Ioana A. Cristea, Joel Lexchin

Notice bibliographique

RevueAlcohol and Alcoholism · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueBotulinum Toxin and Related Neurological Disorders
Établissements canadiensYork University
Organismes subventionnairesnon disponible
Mots-clésBaclofenMedicineAnesthesiaPsychiatryInternal medicine

Résumé

récupéré en direct d'OpenAlex

On 23 October 2018, the French drug agency granted Ethypharm, a French corporation, marketing authorization for baclofen in the treatment of alcohol use disorders (AUD). This is most unusual as applications for therapeutic improvements almost always proceed through a centralized process at the European Medicines Agency (EMA) and cover the entire European Union. Here, we recount the history of baclofen for AUD in France. The use of baclofen for AUD began a decade ago when a cardiologist, Olivier Ameisen, published a book, ‘Le Dernier Verre’ [The Last Glass], reporting his own experience with baclofen in withdrawing from alcohol use. Following this and other publications, many general practitioners and psychiatrists endorsed off-label use, with some promoting it on social networks. As a result, off-label use became increasingly frequent. In addition, baclofen was reputed to reduce harm by slightly reducing the volume of alcohol consumed by people, despite them having a long pattern of harmful consumption. In 2013, the independent French drug bulletin Prescrire International concluded that more data were ‘needed on the efficacy and adverse effects of baclofen in alcohol dependence, compared with other options. Patients who … decide to try baclofen as a last resort should be included in comparative clinical studies’ (Prescrire Editorial Staff, 2013). Despite that conclusion, a year later, the French Agency granted a Temporary Use Recommendation (TUR) to allow oversight of the widespread off-label use of baclofen. The TUR was restricted to highly selected patients who had failed recommended treatments and had no other comorbidities and where prescribers were required to use Electronic Health Records (ERH) for monitoring. The TUR was a temporary policy pending results of two adequately sized French trials, but it was renewed twice in 2017. This renewal occurred although only 5300 individuals from a population of tens of thousands receiving baclofen were being monitored with ERH by 2015 (Degrassat-Théas et al., 2015) and the negative results of a large-scale French pharmacoepidemiological study in patients with AUD. The results of that study, which were publicly available in early July 2017, demonstrated a twofold increase in dose-dependent mortality with baclofen vs. approved drugs (acamprosate and naltrexone), a conclusion that the authors felt was justified despite acknowledging some limitations in their data (Chaignot et al., 2018). A meta-analysis, available in September 2017, failed to show any convincing benefit from baclofen in harm reduction (Palpacuer et al., 2018). Although there are a number of other meta-analyses looking at the effectiveness of baclofen, Cochrane reviews are generally considered methodologically the strongest. A 2018 Cochrane review of 12 randomized controlled trials concluded that compared with placebo, baclofen made little or no difference to participants who dropped out from treatment or dropped out due to adverse events and that it probably made little difference to the number of participants who start drinking again or to how much or how often they drank (Minozzi et al., 2018). In July 2018, the Agency held a 2-day public hearing on the use of baclofen for AUD, although a Special Scientific Committee had already concluded that the benefit/harm ratio of baclofen in AUD was negative (Naudet and Braillon, 2018). The Committee’s assessment was based on the two French large trials. In the first, the percentage of abstinent patients over 20 consecutive weeks was not significantly different between baclofen and placebo (OR 1.20; 95% CI 0.58–2.50; P = 0.62) (Reynaud et al., 2017). The second (NCT01604330) was completed in October 2015, but is still unpublished. Preliminary results presented at a conference in Berlin in 2016 showed a twofold increase in mortality with baclofen. Seemingly ignoring the finding of the Special Scientific Committee, in October 2018, the Agency’s director gave approval for the use of baclofen in alcohol-dependent patients (at 80 mg dose) (Naudet and Braillon, 2018). Although the still unpublished study was partly funded by the French Department of Health, the sponsor (Assistance Publique Hôpitaux de Paris) contractually transferred the data to Ethypharm, which performed its own statistical analysis, dropping the original primary outcome registered at the time of the funding application (the proportion of patients who abstain from alcohol consumption and patients with low-risk consumption at 12 months) and substituting an unplanned outcome (the variation in total alcohol consumption between 1 and 6 months of treatment). (Naudet and Braillon, 2018) We (A.B. and F.N.) failed to get access to trial data from the Agency and Ethypharm when we called for an independent reanalysis as part of the Restoring Invisible and Abandoned Trials initiative. Pierre Ducimetière, the Chairman of the Special Scientific Committee, stated ‘[he] well understood that the benefit-risk assessment [of baclofen] was only one element, among others, [behind the Agency’s decision]’ (A Braillon, personal communication). A full assessment of the results awaits publication of the trial’s results. Drug approvals are being conducted more rapidly and with poorly relevant surrogates in highly selected patients, while withdrawals are too slow when there is evidence of serious safety issues (Onakpoya et al., 2015). The French Agency went even further, blatantly ignoring the motto ‘first do not harm’. None. A.B. and F.N. are unpaid experts at the French drug agency. They were not invited to the so-called public hearing about baclofen although their early application for participating was acknowledged. A.B. and F.N. are among industry independent experts from Jeanne Lenzer’s list (https://jeannelenzer.com/list-independent-experts). In 2016–2019, J.L. was a paid consultant on two projects: one looking at developing principles for conservative diagnosis (Gordon and Betty Moore Foundation) and a second deciding what drugs should be provided free of charge by general practitioners (Government of Canada, Ontario Supporting Patient Oriented Research Support Unit and the St Michael’s Hospital Foundation). He also received payment for being on a panel at the American Diabetes Association, for a talk at the Toronto Reference Library, for writing a brief in an action for side effects of a drug for Michael F. Smith, Lawyer and from the Canadian Institutes of Health Research for presenting at a workshop on conflict-of-interest in clinical practice guidelines. He is currently a member of research groups that are receiving money from the Canadian Institutes of Health Research and the Australian National Health and Medical Research Council. He is a member of the Foundation Board of Health Action International and the Board of Canadian Doctors for Medicare. He receives royalties from University of Toronto Press and James Lorimer & Co. Ltd. for books he has written.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,005
score de la tête « metaresearch » (Gemma)0,013
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,017
Score d'incertitude au seuil0,057

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,013
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0030,002
Études des sciences et des technologies0,0020,004
Communication savante0,0060,007
Science ouverte0,0010,002
Intégrité de la recherche0,0080,011
Charge utile insuffisante (le modèle a refusé de juger)0,0170,007

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,033
Tête enseignante GPT0,282
Écart entre enseignants0,248 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations10
Publié2019
Routes d'admission2
Résumé présentoui

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