Topography of occult pneumothoraces: its importance for efficiency in diagnosis and avoiding sono-paralysis during POCUS
Bibliographic record
Abstract
Traumatic pneumothoraces remain a life-threatening problem that may be resolved quickly with timely diagnosis. Unfortunately, they are still not optimally managed. The most critically injured patients with hemodynamic instability require immediate diagnoses of potentially correctible conditions in the primary survey. Point-of-care ultrasonography (POCUS) performed by the responsible physician can be a tremendous adjunct to expediting diagnoses in the primary surgery and can typically be done in seconds rather than minutes. If more detailed sonographic examination is required, the secondary survey of the hemodynamically unstable patient is more appropriate. All involved in bedside care need to be conscious to efficiently integrate POCUS into resuscitation with the right intentions and goals to avoid sono-paralysis of the resuscitation sequence. Sono-paralysis has recently been described as critical situations wherein action is delayed through unnecessary imaging after a critical diagnosis has been made or unnecessary imaging details are sought despite an urgent diagnosis being made.
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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 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".