Suicidality and Risk of Suicide—Definition, Drug Safety Concerns, and a Necessary Target for Drug Development
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.049 | 0.054 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.008 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".