A.05 Association between timing of direct enteral tube placement and outcomes after acute stroke
Bibliographic record
Abstract
Background: The relationship between timing of direct enteral feeding tube (DET; gastrostomy/jejunostomy) placement and outcomes after stroke is unknown. Methods: We used the Ontario Stroke Registry and linked administrative databases to identify patients with acute stroke between 2003-2013 who received DET during hospital admission. We used multiple logistic regression and Cox proportional hazard models to determine the association between time from admission to DET placement and outcomes of severe disability at discharge (modified Rankin Scale score 4-5) and 30-day mortality after DET placement, adjusting for age, sex, co-morbidities, stroke type, stroke severity, intensive care or stroke unit admission, palliation, and hospital type. Results: 1,342 patients met our inclusion criteria. There was a lower hazard of 30-day mortality for each week in delay to DET placement (adjusted HR 0.89, 95%CI 0.80 to 0.99), but higher odds of severe disability (adjusted OR 1.36, 95%CI 1.14 to 1.62). Patients with DET placement within 1 week had the highest 30-day mortality compared to subsequent weeks (adjusted HR 1.59, 95%CI 1.05 to 2.4). Conclusions: Delayed DET placement after stroke is associated with lower 30-day mortality but greater disability. Thirty-day mortality was highest in those who received DET within 1 week of admission. These associations may inform decisions regarding timing of DET placement after stroke.
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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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".