Variation in and deviation from protective ventilation during lung surgery
Bibliographic record
Abstract
Background: One-lung ventilation (OLV) is used for most lung resections. Protective ventilation strategies aim to limit volutrauma, atelectrauma, and barotrauma to reduce postoperative pulmonary complications (PPCs). We aimed to describe patterns in ventilatory strategies used during OLV, identify factors that affect these strategies, and investigate their relationship with PPCs. Methods: ), airway pressures, and positive end-expiratory pressure (PEEP). Multivariable regression models interrogated the relationships between PPCs (outcome variable), patient factors, and ventilatory parameters (predictor variables). Results: = .00011) were associated with PPCs. Conclusions: Adherence to lung-protective ventilation recommendations was low. Higher peak inspiratory pressure is associated with PPCs, supporting barotrauma during OLV as a culprit. This is a target for quality assessment and knowledge translation efforts.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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".