Cessation of Medication for People With Schizophrenia Already Stable on Chlorpromazine
Notice bibliographique
Résumé
People with schizophrenia are often encouraged to take medication for protracted periods of time in order to postpone or stop deterioration. It is, nevertheless, difficult for clinicians to provide a quantitative estimate of risk of relapse should medication be stopped. Because protracted use of any medication carries a risk of adverse effects, it seems reasonable to seek this evidence. To investigate the effects of stopping chlorpromazine for people with schizophrenia already stable on that drug, primarily for outcomes of global state, improvement, and relapse. We searched the Cochrane Schizophrenia Group Trials Register (March 2006). This is compiled by systematic searches of major databases, journals, and conference proceedings. We also inspected references of all identified studies for further trials. All clinical randomized controlled trials (RCTs) involving people with schizophrenia comparing the withdrawal of chlorpromazine with maintaining the medication. We independently inspected references located through electronic or reference searches. Full texts of these articles were then read, also independently, to decide whether they met our criteria. Disagreement was resolved by discussion. We reliably assessed study quality and extracted data. We used the relative risk (RR) for dichotomous data and the weighted mean differences for continuous data. Where heterogeneity existed (determined by I-square test), a random effects model was used. We included 10 trials (total N = 1042). People already stable and maintained on chlorpromazine were found to experience significantly less relapse compared with those who were asked to stop taking their medication (n = 850, 6 RCTs, RR relapse between 9 weeks and 6 months 4.04 confidence interval [CI] 2.81 to 5.8, number needed to harm (NNH) 4 CI 3 to 7; n = 510, 3 RCTs, RR relapse beyond 6 months 1.70 CI 1.44 to 2.01, NNH 4 CI 3 to 6). Even in the short term, results showed a significant increase in relapse rate of people who stopped medication (n = 376, 3 RCTs, RR relapse before 8 weeks 6.76 CI 3.37 to 13.54, NNH 4 CI 2 to 8) (see figure 1). Regarding global state improvement, only one study reported usable data at about 8 weeks favoring chlorpromazine continuation (n = 95, 1 RCT, RR not improved 2.46 CI 1.51 to 3.99, NNH 3 CI 2 to 8). More detailed findings are reported in the full version of this review.1 Relapse Across Time of Cessation of Chlorpromazine This review confirms much that clinicians already know but provides quantification to support clinical impression. For people with established illnesses, chlorpromazine withdrawal shows significant increase in relapse across all time periods. The epidemiology of schizophrenia consistently suggests that over 10% of people with their first episode will not go on to have further relapses. We did not find evidence to quantify risk of stopping medication in those in their first episode of schizophrenia. Relapse, however, incurs risks and costs that would probably be judged by everyone as greater than those associated with stable use of chlorpromazine. More reviews of trials focusing on cessation of other drugs would provide opportunities for replication. New trials of drug cessation for those at low risk of relapse may be possible to justify.
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 | 0,002 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,002 |
| Bibliométrie | 0,004 | 0,004 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,013 | 0,001 |
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 ».