Repetitive Transcranial Magnetic Stimulation for People With Treatment-Resistant Depression: A Health Technology Assessment.
Notice bibliographique
Résumé
BACKGROUND: Major depression is one of the most diagnosed mental illnesses in Canada. Generally, people are treated successfully with antidepressants or psychotherapy, but some people do not respond to these treatments (called treatment-resistant depression [TRD]). Repetitive transcranial magnetic stimulation (rTMS) delivers magnetic pulses to stimulate the areas of the brain associated with mood regulation. Several modalities of rTMS exist (e.g., high frequency rTMS, intermittent theta burst stimulation [iTBS], deep transcranial magnetic stimulation). We conducted a health technology assessment of rTMS for people with TRD, which included an evaluation of effectiveness, safety, cost-effectiveness, the budget impact of publicly funding rTMS, and patient preferences and values. METHODS: We performed a systematic literature search of the clinical evidence. We assessed the risk of bias of each included study using the Risk of Bias in Systematic Reviews (ROBIS) tool and Cochrane Risk of Bias for Randomized Controlled Trials and the quality of the body of evidence according to the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) Working Group criteria. We performed a systematic economic literature search and conducted a cost-utility analysis with a 3-year horizon from a public payer perspective. We also analyzed the 5-year budget impact of publicly funding rTMS for people with TRD in Ontario. To assess the potential value of rTMS, we spoke with people who have TRD. Seven rTMS modalities were considered: low-frequency (1 Hz) stimulation, high-frequency (10-20 Hz) stimulation, unilateral stimulation, bilateral stimulation, iTBS, continuous theta burst stimulation, and deep transcranial magnetic stimulation. RESULTS: We included 58 primary studies, 9 systematic reviews, and 1 network meta-analysis in the clinical evidence review. Most rTMS modalities were more effective than sham treatment for all outcomes (GRADE: Moderate to High). All rTMS modalities were similar to one another in response and remission rates (GRADE: not reported) and were similar to electroconvulsive therapy (ECT) in response and remission rates (GRADE: Moderate). Moreover, in both the reference case and scenario analyses, two rTMS modalities (rTMS or iTBS), followed by ECT when patients did not respond to initial treatment, were less expensive and more effective than ECT alone. They were cost-effective compared with pharmacotherapy alone at a willingness-to-pay amount of $50,000 per quality-adjusted life-year (QALY). The annual budget impact of publicly funding rTMS would range from $9.3 million in year 1 to $15.76 million in year 5, for a total of $63.2 million over the next 5 years. People with TRD we spoke with reported that their experiences were generally favourable, and their attitudes toward rTMS were positive. Similarly, psychiatrists had positive attitudes toward and acceptance of rTMS. Our quantitative literature review on preferences revealed some gaps in psychiatrists' knowledge of rTMS, which could have been influenced by their level of training on rTMS. CONCLUSIONS: Most rTMS modalities are likely more effective than sham rTMS on all outcomes. All rTMS modalities are similar to ECT and to one another in response and remission rates. Compared with ECT alone, two rTMS modalities (high-frequency rTMS and iTBS), followed by ECT when necessary in a stepped care pathway, were less costly and more effective for managing adults with TRD. These types of rTMS (high-frequency rTMS and iTBS) were cost-effective compared with pharmacotherapy alone at a willingness-to-pay amount of $50,000 per QALY. Publicly funding rTMS (high-frequency rTMS and iTBS) for the treatment of adults with TRD in Ontario over the next 5 years would add $63.2 million in total costs. People with TRD had positive experiences and attitudes toward rTMS.
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 | 0,032 | 0,103 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,006 | 0,013 |
| Bibliométrie | 0,014 | 0,012 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,002 | 0,003 |
| Intégrité de la recherche | 0,003 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
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.
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 ».