Clinical and Sociodemographic Characteristics Associated with Suicidal Ideation in Depressed Outpatients
Bibliographic record
Abstract
OBJECTIVE: To identify clinical and sociodemographic characteristics associated with suicidal ideation (SI) among patients seeking care for depression in routine primary and psychiatric care settings. METHODS: We examined data from 4041 treatment-seeking outpatients with major depressive disorder (MDD) to compare baseline sociodemographic and clinical characteristics of those with and without SI, and the presence or absence of baseline depressive symptoms and psychiatric comorbidities in those with SI. RESULTS: SI was significantly (P < 0.01) associated with numerous sociodemographic characteristics (that is, lower level of education, Caucasian or African American, male, unemployed, and treated in psychiatric care) and clinical features (that is, previous suicide attempt, younger age of MDD onset, greater baseline depressive symptom severity, greater number of depressive symptoms, and presence of agoraphobia and [or] generalized anxiety disorder). Elevated levels of SI at baseline were associated with decreased remission rates. CONCLUSIONS: Consistent with past findings, increased rates of SI were associated with greater depressive symptom severity as well as other features suggestive of severity of illness. Our results confirm previous findings of associations between SI and panic and (or) phobic symptoms and anxiety, but did not confirm previous findings of an association between SI and alcohol or drug use and (or) dependence. While selective serotonin reuptake inhibitor monotherapy appeared significantly helpful in reducing SI during the course of treatment, the presence of SI at baseline was found to be a associated with decreased treatment response, with patients reporting SI at the start of treatment being less likely to achieve remission. CLINICAL TRIAL REGISTRATION NUMBER: Sequenced Treatment Alternatives to Relieve Depression, NCT00021528.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".