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Enregistrement W2883499951 · doi:10.1111/bcp.13713

The easy misuse of antidepressants during pregnancy is depressing

2018· letter· en· W2883499951 sur OpenAlexaboutno aff
Alain Braillon, Susan Bewley

Notice bibliographique

RevueBritish Journal of Clinical Pharmacology · 2018
Typeletter
Langueen
DomaineMedicine
ThématiqueMaternal Mental Health During Pregnancy and Postpartum
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedical prescriptionPsychiatryMedicineEscitalopramObservational studyAnxietyPostmarketing surveillancePregnancyDepression (economics)HarmAntidepressantAdverse effectFamily medicinePsychologyNursing

Résumé

récupéré en direct d'OpenAlex

Bénard-Laribière et al. must be commended for their detailed monitoring of antidepressant prescriptions during pregnancy 1, in a Journal that has previous creditable pieces including warnings about malformations with paroxetine and fluoxetine 2. However, we disagree with their views on potential undertreatment and the over-reassuring conclusion that treatment has been especially adapted in accordance with existing recommendations in a ‘large proportion’ of pregnant women. Firstly, all prescribers should always prioritize pregnancy and drug safety. However, data to ascertain the benefit:harm ratio or guide dosing are scarce. Even when available, such data are often overlooked by prescribers 3. Very few drug registries exist to report postmarketing harms. The European Registry of Antiepileptic Drugs and Pregnancy (EURAP) is among notable exceptions. Secondly, in contrast to the authors' beliefs 1, first-line treatment should always be cognitive behavioural therapy (CBT) – even for severe depression 4. The most serious adverse effects of antidepressants, such as malformations 2 and postpartum haemorrhage 5, cannot be overlooked. Almost all antidepressant prescriptions in this particular observational series may be first-line treatments as psychotherapies are not reimbursed by the mandatory and affluent French health care system. France has overlooked evidence underpinning the Improving Access to Psychological Therapies programme launched in 2008 in England. This beacon, offering largely CBT approaches to people with anxiety or depressive diagnoses, has also been implemented in Quebec and Belgium. Limiting prescriptions to medicines only ties doctors' hands to the patients' detriment. Thirdly, citalopram and escitalopram ranked first for prevalence 1 despite no clinical benefit compared to other antidepressants, and only robust evidence of harms such as deadly Torsades de Pointe. These surely cannot be ‘the drugs of choice in pregnancy’? 1 Indeed, vomiting is common and hypokalaemia, a major risk factor for QT prolongation, is observed in hyperemesis 6. Why is duloxetine ever prescribed 1 when its specific life-threatening serious effects include liver injury and skin reactions including Stevens–Johnson syndrome? Could the authors direct us to any recommendation justifying paroxetine or fluoxetine use and what kind of information women in this series would have received about malformations? 1 It appears no lessons have been learnt from the valproate scandal 6. The first report of congenital malformation due to valproate was made by a French team in 1982. No action was taken until 2015 when a legal case went public thanks to a mother whose two children were consecutively damaged and who created the Association of Parents of Children with Anticonvulsant Syndrome. This association successfully campaigned to restrict prescription of valproate and its by-products in women of childbearing age to specialists who must obtain signed consent 7. They also achieved mandatory pictograms for every medicine with potential harm during planned or unplanned pregnancy and targeted women of childbearing age as restrictions were poorly implemented. Fourthly, we must all be mindful that selective publication, sponsorship bias and ghost-writing have been the norm. GlaxoSmithKline even cynically named their paroxetine programme ‘CASSPER’ after the friendly ghost. The effect size of antidepressants is small or modest (around 0.30), and psychotherapies are at least as effective for severe depression in the real-life setting and long term without adverse effects 8. Could Bénard-Laribière et al. provide further data about other major issues during pregnancy: the prescription of folate and alcohol consumption – itself a frequent cause of depression especially in high consumption France. Getting it right for pregnant women helps everyone. How can pharmacovigilance systems protect sick people when they appear to have so few concerns, monitoring and controls for the most vulnerable unborn future citizens. There are no competing interests to declare.

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)0,012
score de la tête « metaresearch » (Gemma)0,108
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 enseignants0,012
Score d'incertitude au seuil0,063

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0120,108
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,004
Communication savante0,0040,006
Science ouverte0,0020,002
Intégrité de la recherche0,0050,008
Charge utile insuffisante (le modèle a refusé de juger)0,0090,003

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 Opus0,076
Tête enseignante GPT0,440
Écart entre enseignants0,364 · 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

Citations2
Publié2018
Routes d'admission1
Résumé présentoui

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