Bibliographic record
Abstract
To the Editor: I read with interest the case report of aspiration during the use of a ProSeal laryngeal mask airway (PLMA) by Brimacombe et al. (1). Several techniques have been described to help diagnose and correct a foldover of the PLMA tip. I propose a very simple method for detection of the foldover position of the PLMA that utilizes the Trachlight™ (Laerdal Medical Corporation, NY). The stylet of the Trachlight™ is marked in 1-cm increments from 15 cm to 29 cm. The length of the drainage tube (DT) of the PLMA has been previously documented (Size 2, 19.5 cm; Size 3, 26.5 cm; Size 4, 27.5 cm; Size5, 28.5 cm) (1). The Trachlight™ wand must be well lubricated and the rigid inner stylet withdrawn into the proximal half of the device. Easy passage of the wand through the DT should be confirmed before inserting the PLMA. In simulated PLMA tip foldover experiments, the Trachlight™ wand meets resistance 1–2 cm from the tip of the DT. This is a simple and reliable means of detecting a PLMA tip foldover. A dull glow in the anterior neck with passage of the Trachlight™ wand beyond the DT tip indicates correct alignment of the PLMA with the upper esophageal sphincter. Chris Christodoulou, MBChB DA (UK) FRCPC
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.013 | 0.012 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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".