Reply: Hemorrhages during Escitalopram—Venlafaxine— Mirtazapine Combination Treatment of Depression
Notice bibliographique
Résumé
Dear Editor: The publication of Dr Benazzi's case report (1) is somewhat worrying. Although the report does not suggest that the treatment in this case is routine or normal practice, the concluding statement that clinicians should take care when combining several antidepressants that increase serotonin appears to condone the treatment outlined in the paper. Apart from the fact that all treatment algorithms for resistant depression recommend lithium augmentation prior to combined antidepressants, which in most cases come well down the list of strategies, given the limited evidence for this intervention, and putting aside the fact that, when recommended, the combination of antidepressants refers to 2 antidepressants, to add 2 antidepressants at once to an alreadyprescribed antidepressant is to court disaster. That nasal and rectal bleeding were the only consequences of this dangerous cocktail could be viewed as fortunate. What level of hemoglobin this patient bled down to is not revealed in the report, and it must be presumed that this was checked and was not of great concern. What is of concern is the risk that this report will encourage this sort of prescribing. References I. Benazzi F. Hemorrhages during escitalopram-venlafaxine-mirtazapine combination treatment of depression. Can J Psychiatry 2005;50:184. Andrew Al-Adwani, MRCPsych North Lincolnshire, UK Reply: Hemorrhages During Escitalopram-VenlafaxineMirtazapine Combination Treatment of Depression Dear Editor: I thank Dr Al-Adwani for his comments on the treatment of resistant depression, as the topic is a hot one. There are several guidelines on the treatment of depression, which should be distinguished as bipolar disorder I, bipolar disorder II, and major depressive (unipolar) disorder. Among these disorders, the treatment of bipolar II depression is the most understudied, even if bipolar II depression is at least as common as unipolar depression in nontertiary care outpatients (1,2). The several guidelines on the treatment of bipolar and unipolar depression follow different steps. What matters most is that these guidelines are the result of a consensus among academic experts, based on literature reviews and personal opinions, not on data from usual clinical practice. The result is that these guidelines are detached from real-world clinical practice (described as an irrelevant evidence base for clinical practice; 3). Even if we rely on the evidence we can find in the literature, this is of little help; at most it may guide the choice of a second antidepressant when the first one has failed. I have been in clinical practice for 21 years with the National Health Service as part-time consultant and with my private outpatient practice. In this latter setting (which is also the setting of most of my studies), I have thousands of visits yearly. Patients often come to see me after the failure of 1 or 2 antidepressants. …
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,024 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,002 | 0,005 |
| Science ouverte | 0,003 | 0,001 |
| Intégrité de la recherche | 0,025 | 0,028 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,003 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».