Suicidality and Risk of Suicide—Definition, Drug Safety Concerns, and a Necessary Target for Drug Development
Notice bibliographique
Résumé
OBJECTIVE: To address issues concerning potential treatment-emergent "suicidality," a consensus conference was convened March 23-24, 2009. PARTICIPANTS: This gathering of participants from academia, government, and industry brought together experts in suicide prevention, clinical trial design, psychometrics, pharmacoepidemiology, and genetics, as well as research psychiatrists involved in studies of major depression, bipolar disorder, schizophrenia, substance abuse/dependence, and other psychiatric disorders associated with elevated suicide risk across the life cycle. The process involved reviews of the relevant literature, and a series of 6 breakout sessions focused on specific questions of interest. EVIDENCE: Each of the participants at the meeting received references relevant to the formal presentations (as well as the slides for the presentations) for their review prior to the meeting. In addition, the assessment instruments of suicidal ideation/behavior were reviewed in relationship to standard measures of validity, reliability, and clinical utility, and these findings were discussed at length in relevant breakout groups, in the final plenary session, and in the preparation of the article. Consensus and dissenting views were noted. CONSENSUS PROCESS: Discussion and questions followed each formal presentation during the plenary sessions. Approximately 6 questions per breakout group were prepared in advance by members of the Steering Committee and each breakout group chair. Consensus in the breakout groups was achieved by nominal group process. Consensus recommendations and any dissent were reviewed for each breakout group at the final plenary session. All plenary sessions were recorded and transcribed by a court stenographer. Following the transcript, with input by each of the authors, the final paper went through 14 drafts. The output of the meeting was organized into this scholarly article, which has been developed by the authors with feedback from all participants at the meeting and represents a consensus view. Any areas of disagreement have been noted. CONCLUSIONS: The term suicidality is not as clinically useful as more specific terminology (ideation, behavior, attempts, and suicide). Most participants applauded the FDA's effort to promote standard definitions and definable expectations for investigators and industry sponsors by endorsing the terminology in the Columbia Classification Algorithm of Suicide Assessment (C-CASA). Further research of available assessment instruments is needed to verify their utility, reliability, and validity in identifying suicide-associated treatment-emergent adverse effects and/or a signal of efficacy in suicide prevention trials. The FDA needs to build upon its new authority to systematically monitor postmarketing events by encouraging the development of a validated instrument for postmarketing surveillance of suicidal ideation, behavior, and risk within informative large health care-related databases in the United States and abroad. Over time, the FDA, industry, and clinical researchers should evaluate the impact of the current Agency requirement that all CNS clinical drug trials must include a C-CASA-compatible screening instrument for assessing and documenting the occurrence of treatment-emergent suicidal ideation and behavior. Finally, patients at high risk for suicide can safely be included in clinical trials, if proper precautions are followed, and they need to be included to enable premarket assessments of the risks and benefits of medications related to suicidal ideation, suicidal behavior, and suicide in such patients.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,008 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».