Intensive care unit admission has minimal impact on long-term mortality*
Bibliographic record
Abstract
OBJECTIVE: To measure the association between intensive care unit (ICU) admission and both hospital and long-term mortality, separate from the effect of hospital admission alone. DESIGN: Retrospective cohort study. SETTING: All hospitals in British Columbia, Canada, during 3 fiscal years, 1994 to 1996. PATIENTS: A total of 27,103 patients admitted to ICU and 41,308 (5% random sample) patients admitted to hospital but not to ICU. INTERVENTION: None. MEASUREMENTS AND MAIN RESULTS: Although ICU admission was an important factor associated with hospital mortality (odds ratio: 9.12; 95% confidence interval: 8.34-9.96), the association between ICU admission and mortality after discharge was relatively minimal (hazard ratio: 1.21; 95% confidence interval: 1.17-1.27) and was completely overshadowed by the effect of age, gender, and diagnosis. CONCLUSIONS: After controlling for the effect of hospital admission, admission to ICU has minimal independent effect on mortality after discharge.
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 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 | 0.001 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| 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".