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Record W118850467 · doi:10.1177/070674370905400202

Selective Serotonin Reuptake Inhibitors and Suicidality: A Guide for the Perplexed

2009· letter· en· W118850467 on OpenAlexvenueno aff
David A. Brent

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2009
Typeletter
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsnot available
FundersNational Institute of Mental HealthU.S. Public Health Service
KeywordsSuicidal ideationPsychiatryMedical prescriptionSuicide preventionPoison controlAntidepressantAdverse effectMedicineInjury preventionSerotonin reuptake inhibitorPsychologyMedical emergencyInternal medicineAnxietyPharmacology

Abstract

fetched live from OpenAlex

Can J Psychiatry. 2009;54(2):72-74. The rate of suicidal adverse events is elevated around 2-fold in drugs, relative to placeboes, in clinical trials of antidepressants in children, adolescents, and young adults.1,2 Since the FDA's black box warning in 2003-2004, there has been a decline in the prescription rate of antidepressants, with no compensatory increase in referrals for psychotherapy in the United States.3 Families, patients, and clinicians are uncertain about how to balance the benefits and risks of antidepressants. In this brief review, the clinical significance of suicidal events is discussed along with the factors that may increase or attenuate the risk, possible explanations for this phenomenom, the benefits and risks of antidepressants, the public health implications of a decline in the use of SSRIs, and recommendations for clinicians. Suicidal adverse events are treatment-emergent increases in suicidal ideation or an actual suicide attempt. In more than 4300 participants in pediatric antidepressant clinical trials, there have been no deaths by suicide, and most of these events were increases in suicidal ideation, rather than actual suicide attempts. The actual risk difference for the occurrence of an event is not large. While the FDA initially reported a risk difference of 2%, a more recent re-analysis included more recently conducted trials found a risk difference of only 0.9%, which translates to a NNH of 121.1,2 Moreover, during the period of time when the rate of SSRI prescriptions was increasing, youth suicide rates were declining.4 One cannot necessarily infer a causal relation between the increase in the use of SSRIs in adolescents and a decline in the adolescent suicide rate. However, if antidepressants were associated with an increased risk for suicide, one would have expected an increase in adolescent suicide, which clearly was not the case. The nature of assessment for suicidal events has also been questioned. In most clinical trials, suicidal events are not surveyed systematically, but are reported spontaneously. In fact, in the subset of clinical trials that had systematic assessment, there was no difference between medication and placebo regarding systematically assessed suicidal ideation.2 However, other reports have shown similar rates of events, whether using usual adverse event reporting methods or by deriving the occurrence of events from systematically assessed measures of self-reported suicidal ideation. 5'6 Predictors of suicidal adverse events include previous suicidal behaviour and higher baseline levels of suicidal ideation, anger, and irritability.5 In the Treatment of Adolescent Depression Study,6 the rate of suicidal events was lower in the combination of antidepressant and CBT than in medication alone; however, in other clinical trials of more severely or chronically depressed youth, no protective effect was found for combination treatment.6,7 No relation has been established among dosage, adherence pattern, medication type, and risk for events, and while some promising pharmacogenetic findings have been reported, there is currently no clinical applicability of these findings. Several hypotheses, all unproven, have been advanced to explain the increased rate of suicidal events in antidepressant-treated patients, compared with those on placebo. These have included induction of akathisia, disinhibition, increasing energy of the patient to the point where he or she can actually make an attempt, induction of mania or a mixed state, or withdrawal from medication as a result of nonadherence, with induction of dysphoria and suicidality. The adage of suicidal behaviour coming as a consequence of improvement in mood is not consistent with data showing a high correlation between severity of suicidal ideation and severity of depression; further, most reported suicidal events were not attempts, but were increases in suicidal ideation. The induction of a mixed state can certainly lead to suicidal ideation and behaviour; however, while the risk of a suicidal event is higher in adolescents than in children, the risk of mania after treatment with an antidepressant is higher in younger children. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0070.003
Science and technology studies0.0010.002
Scholarly communication0.0030.009
Open science0.0030.003
Research integrity0.0070.012
Insufficient payload (model declined to judge)0.0130.014

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.

Opus teacher head0.020
GPT teacher head0.273
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations11
Published2009
Admission routes1
Has abstractyes

Explore more

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