History of psychiatric hospital admission increases the risk of suicide less in the very old than in middle aged people
Bibliographic record
Abstract
Erlangsen A, Mortensen PB, Vach W, et al . Psychiatric hospitalisation and suicide among the very old in Denmark: population-based register study. Br J Psychiatry 2005;187:43–8.[OpenUrl][1][Abstract/FREE Full Text][2] Q Does hospitalisation for psychiatric disorder increase suicide risk in elderly people? ### ![Graphic][3]</img>Design: Prospective cohort study based on individual level record linkage. ### ![Graphic][4]</img>Follow up period: Five years. ### ![Graphic][5]</img>Setting: General population, Denmark; 1 January 1994 to 31 December 1998. ### ![Graphic][6]</img>People: All people aged 50 years and over living in Denmark between 1994 and 1998 (1 978 527 people). Data on gender, age, and migration was obtained from the Register of Population Statistics. ### ![Graphic][7]</img>Risk factors: Hospitalisation for psychiatric causes, identified using the Danish Psychiatric Central Register. ### ![Graphic][8]</img>Outcomes: Death by suicide (ICD-10), identified using the Registry of Causes of Death. Proportional hazards models were used for event history analysis to calculate … [1]: {openurl}?query=rft.jtitle%253DThe%2BBritish%2BJournal%2Bof%2BPsychiatry%26rft.stitle%253DBr.%2BJ.%2BPsychiatry%26rft.aulast%253DERLANGSEN%26rft.auinit1%253DA.%26rft.volume%253D187%26rft.issue%253D1%26rft.spage%253D43%26rft.epage%253D48%26rft.atitle%253DPsychiatric%2Bhospitalisation%2Band%2Bsuicide%2Bamong%2Bthe%2Bvery%2Bold%2Bin%2BDenmark%253A%2B%2Bpopulation-based%2Bregister%2Bstudy%26rft_id%253Dinfo%253Adoi%252F10.1192%252Fbjp.187.1.43%26rft_id%253Dinfo%253Apmid%252F15994570%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/ijlink?linkType=ABST&journalCode=bjprcpsych&resid=187/1/43&atom=%2Febmental%2F9%2F1%2F24.atom [3]: /embed/inline-graphic-1.gif [4]: /embed/inline-graphic-2.gif [5]: /embed/inline-graphic-3.gif [6]: /embed/inline-graphic-4.gif [7]: /embed/inline-graphic-5.gif [8]: /embed/inline-graphic-6.gif
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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".