Efficacy of a high‐observation protocol in major head and neck cancer surgery: A prospective study
Bibliographic record
Abstract
BACKGROUND: The purpose of this study was to optimize an existing clinical care pathway (CCP) for head and neck cancer with a high-observation protocol (HOP) and to determine the effect on length of intensive care unit (ICU) admission and length of stay in hospital (LOS). METHODS: The HOP mandated initiation of spontaneous breathing trials before the conclusion of the surgery, weaning of sedation, and limiting mechanical ventilation. All patients with head and neck cancer undergoing primary surgery on the HOP were compared to a historical cohort regarding length of ICU admission, ICU readmissions, and LOS. RESULTS: Ninety-six and 52 patients were observed in "historical" and "HOP" cohorts. The length of ICU admission (1.9 vs 1.2 days; p = .021), LOS (20.3 vs 14.1 days; p = .020), and ICU readmissions (10.4% vs 1.9%; p = .013) were significantly decreased in the "HOP" cohort. CONCLUSION: Rapid weaning of sedation and limiting mechanical ventilation may contribute to a shorter length of ICU admission and LOS, as well as decreased ICU readmissions. © 2017 Wiley Periodicals, Inc. Head Neck 39: 1689-1695, 2016.
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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 | 0.017 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".