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Enregistrement W2114553286 · doi:10.1177/070674370605100701

The Pharmacologic and Psychological Treatment of Obsessive—Compulsive Disorder

2006· letter· en· W2114553286 sur OpenAlexaffvenue
Gilbert Pinard

Notice bibliographique

RevueThe Canadian Journal of Psychiatry · 2006
Typeletter
Langueen
DomainePsychology
ThématiqueObsessive-Compulsive Spectrum Disorders
Établissements canadiensMcGill University
Organismes subventionnairesnon disponible
Mots-clésAnxietyClomipramineAnxiety disorderPanic disorderCognitive therapyRandomized controlled trialCognitionExposure and response preventionDepression (economics)PsychologyPsychiatryBehaviour therapyMedicineClinical psychologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

Obsessive-compulsive disorder (OCD) continues to present a particular challenge to clinicians. As opposed to other anxiety disorders and, to some degree, to depression, the results of therapies, be they pharmacologie or psychological, are at best less than optimal. Indeed, when one reads articles reporting randomized controlled trials, patients are said to be responders when a 35% reduction of symptoms occurs (as if reducing rituals from 6 to 4 hours were clinically meaningful). Moreover, when one takes into account those who drop out of studies because of medication side effects or because of fear in the exposure-response prevention (ERP) studies-often in the 25% to 30% range-and add to those numbers the nonresponders, then we are looking at a 35% to 50% response in about 50% of patients. Additionally, few patients attain full remission-hardly satisfactory outcomes! The one redeeming finding is that most gains achieved by cognitive-behavioural therapy (CBT) seem to be stable. The longest study to date spans 7 years but has few subjects (1). In it, the 41% improvement was maintained (45% at follow-up). Hence the continued effort to develop new strategies. Foa reports an intensive regimen of daily, prolonged exposure sessions (over 2 hours) for 3 weeks (2). The dropout rate was extremely high in the New York site (over 40%), as opposed to the Philadelphia site, which may indicate that in Foa's clinic the cognitive preparation for treatment reduced apprehension and induced better compliance. Dr Foa's comparator to ERP was clomipramine, which we know has a high side effect profile that may explain patient resistance. The ERP therapy was superior to clomipramine alone, and the combination of behaviour therapy and medication did not, in that study, improve outcome. Foa feels that ERP was so powerful that there was little room for the medication to show added improvement. However, in children and adolescents, the combination of CBT and sertraline has been shown to be superior to either treatment alone (3). Another strategy has been to add the components sequentially. For example, Kampman added 12 sessions of CBT to continued treatment with fluoxetine in nonresponders (defined as those showing less than 25% improvement after 12 weeks of medication) (4). There was a 41% improvement rate in these resistant patients. A recent review and 2 case illustrations have outlined in which patients the combinatory approaches may be best indicated (5). In his review in this issue, Abramowitz summarizes the comparative results of CBT and ERP and shows that the indispensable component of the psychological approaches seems to be exposure, even in the soi-disant pure cognitive group (individuals often expose in imagination and indeed, at times, spontaneously in vivo without therapist intervention). Abramowitz also mentions that cognitive therapists have developed strategies that look more deeply into the schemas of patients-a core belief of enhanced responsibility for the patient's own and others' well-being (6), an increased sense of vulnerability (7), and thought-action fusion (IfI think it, it means I want to do it) (8). Integrating ERP, traditional CBT, and schema-focused cognitive therapy has been proposed as a strategy to enhance response in treatment-resistant patients (9). Subtypes identified according to symptoms (such as checking, washing, or symmetry) may also explain some of the differential responses encountered in treatment (10) Augmenting regimens have also been proposed in pharmacology: in Blier's review, he states that the most promising approach seems to employ the atypical antipsychotics. …

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,475
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,002
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,021
Tête enseignante GPT0,304
Écart entre enseignants0,283 · 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 tête enseignante, pas un consensus.

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

Citations7
Publié2006
Routes d'admission2
Résumé présentoui

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