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Record W1492468741 · doi:10.1097/yco.0b013e3282f29853

Use of selective serotonin reuptake inhibitors and youth suicide: making sense from a confusing story

2008· review· en· W1492468741 on OpenAlexaff
Stan Kutcher, David M. Gardner

Bibliographic record

VenueCurrent Opinion in Psychiatry · 2008
Typereview
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsDalhousie University
Fundersnot available
KeywordsSuicidal ideationPsychiatryPsychologySerotonin reuptake inhibitorObservational studySuicide preventionMedicinePoison controlDepression (economics)Clinical psychologyMedical emergencyInternal medicineAntidepressant

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: This review provides an update on use of selective serotonin reuptake inhibitors and youth suicide, and describes an informed examination of the social and professional dimensions of this issue. RECENT FINDINGS: Recent studies, using various methodologies to analyze experimental and observational data, suggest that concerns about the effect of selective serotonin reuptake inhibitors on suicide and suicide-related phenomena may have been overstated. Also, contrary to much public and medical opinion, treatment of depression with selective serotonin reuptake inhibitors does not increase but rather may decrease youth suicide fatalities. A recent reanalysis by the US Food and Drug Administration of existing data from clinical trials across the lifespan suggest an age-dependent effect on nonfatal suicide attempts and suicidal ideation, in which risk appears to be increased in youth and reduced from mid-adulthood and onward. SUMMARY: Selective serotonin reuptake inhibitors are a modestly effective and generally safe treatment for postpubertal major depressive disorder, but their use requires collaborative decision making and a predetermined, shared monitoring plan.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.895
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.207
GPT teacher head0.420
Teacher spread0.212 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations25
Published2008
Admission routes1
Has abstractyes

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