“Peanut saves the day”: an innovative solution to massive, cryptogenic haemoptysis—a case study
Bibliographic record
Abstract
Massive (or life-threatening) haemoptysis is a time-sensitive emergency encountered by a physician that requires an interdisciplinary, collaborative effort to arrest the bleeding in a prompt and timely manner. Placement of an endobronchial Watanabe spigot (EWS) to halt haemoptysis is a relatively recent technique finding its wide application in airway pathology, with the current extension of its use to bronchial bleeding. However, the lack of immediate access to EWS gives rise to the need to innovate with day-to-day materials used in routine surgical practice and available in resource-limited settings, which may serve the purpose of a spigot. In this report, we bring to light a case of life-threatening, cryptogenic haemoptysis that was managed by a novel technique of using peanut gauze as a spigot resulting in a successful endobronchial tamponade.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.006 | 0.003 |
| 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".