Do neurocognitive abilities distinguish suicide attempters from suicide ideators? A systematic review of an emerging research area
Bibliographic record
Abstract
Recent findings suggest that neurocognitive deficits may hasten progression from suicidal thoughts to behavior. To test this proposition, we examined whether neurocognitive deficits distinguish individuals who have attempted suicide (attempters) from those who have considered suicide but never attempted (ideators). A comprehensive literature search yielded 14 studies comparing attempters to ideators on a range of neurocognitive abilities. In general, attempters and ideators scored comparably across neurocognitive abilities (median Hedges' g = −.18). An exception was a moderate difference for inhibition and decision making (median Hedges' g = −.50 and g = −.49, respectively). Results suggest that some neurocognitive abilities might help explain the transition from suicidal thoughts to suicide attempts. However, findings are regarded as suggestive, given the small number of studies, few cross-study examinations of neurocognitive domains, and variability in sample characteristics. Recommendations for future research are included.
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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 | 0.006 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.012 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".