Rates and Predictors of Suicidal Ideation During the First Year After Traumatic Brain Injury
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Full frame distilled prediction
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.
- Candidate categories
- none
- Consensus categories
- none
- Domain
- Candidate signal: noneConsensus signal: none
- Study design
- Candidate signal: ObservationalConsensus signal: Observational
- Genre
- Candidate signal: EmpiricalConsensus signal: Empirical
- Teacher disagreement score
- 0.028
- Threshold uncertainty score
- 0.247
- Validation status
machine_predicted_unvalidated·codex-gemma-dda1882f352a
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 0.000 |
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.303 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
OBJECTIVES: We examined rates of suicidal ideation (SI) after traumatic brain injury (TBI) and investigated whether demographic characteristics, preinjury psychiatric history, or injury-related factors predicted SI during the first year after injury. METHODS: We followed a cohort of 559 adult patients who were admitted to Harborview Medical Center in Seattle, Washington, with a complicated mild to severe TBI between June 2001 and March 2005. Participants completed structured telephone interviews during months 1 through 6, 8, 10, and 12 after injury. We assessed SI using item 9 of the Patient Health Questionnaire (PHQ-9). RESULTS: Twenty-five percent of the sample reported SI during 1 or more assessment points. The strongest predictor of SI was the first PHQ-8 score (i.e., PHQ-9 with item 9 excluded) after injury. Other significant multivariate predictors included a history of a prior suicide attempt, a history of bipolar disorder, and having less than a high school education. CONCLUSIONS: Rates of SI among individuals who have sustained a TBI exceed those found among the general population. Increased knowledge of risk factors for SI may assist health care providers in identifying patients who may be vulnerable to SI after TBI.
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.
The record
- Venue
- American Journal of Public Health
- Topic
- Suicide and Self-Harm Studies
- Field
- Psychology
- Canadian institutions
- Bombardier (Canada)
- Funders
- Eunice Kennedy Shriver National Institute of Child Health and Human Development
- Keywords
- Suicidal ideationTraumatic brain injuryInjury preventionPoison controlMedicineSuicide preventionOccupational safety and healthPsychiatryHuman factors and ergonomicsMedical emergencyEmergency medicineClinical psychologyPsychologyPathology
- Has abstract in OpenAlex
- yes