Suicide risk peaks in first week of psychiatric hospitalisation and post-discharge
Bibliographic record
Abstract
Qin P, Nordentoft M. Suicide risk in relation to psychiatric hospitalization: evidence based on longitudinal registers. Arch Gen Psychiatry 2005;62:427–32.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q Which psychiatric hospitalisation variables influence suicide risk? ### ![Graphic][5]</img>Design: Case control study. ### ![Graphic][6]</img>Follow up period: Data on suicides was for 17 years (1981–97), data on hospitalisations for 29 years (1969–97). ### ![Graphic][7]</img>Setting: Database analysis of Danish national longitudinal registers going back to 1969. ### ![Graphic][8]</img>People: 21 169 people (cases; 13 681 men and 7488 women) who had committed suicide (ICD-8 and 10 classification) and 423 128 sex and age matched controls (273 371 men and 149 757 women) who were alive at the time of suicide of the matched case. Cases not resident in Denmark at the beginning of the year in which they committed suicide were excluded. ### ![Graphic][9]</img>Risk factors: Time since most recent psychiatric hospitalisation, main diagnosis at … [1]: {openurl}?query=rft.jtitle%253DArchives%2Bof%2BGeneral%2BPsychiatry%26rft.stitle%253DArch%2BGen%2BPsychiatry%26rft.aulast%253DQin%26rft.auinit1%253DP.%26rft.volume%253D62%26rft.issue%253D4%26rft.spage%253D427%26rft.epage%253D432%26rft.atitle%253DSuicide%2BRisk%2Bin%2BRelation%2Bto%2BPsychiatric%2BHospitalization%253A%2BEvidence%2BBased%2Bon%2BLongitudinal%2BRegisters%26rft_id%253Dinfo%253Adoi%252F10.1001%252Farchpsyc.62.4.427%26rft_id%253Dinfo%253Apmid%252F15809410%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1001/archpsyc.62.4.427&link_type=DOI [3]: /lookup/external-ref?access_num=15809410&link_type=MED&atom=%2Febmental%2F8%2F4%2F114.atom [4]: /lookup/external-ref?access_num=000228137200009&link_type=ISI [5]: /embed/inline-graphic-1.gif [6]: /embed/inline-graphic-2.gif [7]: /embed/inline-graphic-3.gif [8]: /embed/inline-graphic-4.gif [9]: /embed/inline-graphic-5.gif
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 teacher head, 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".