Bibliographic record
Abstract
Introduction: Obesity is a growing global epidemic and is associated with morbidity and mortality. Airway management of morbidly obese patients requiring long-term ventilation is scarce. This is the first case report in literature to describe a percutaneous tracheostomy technique performed on a super obese patient (Body Mass Index = 87 kg/m2). Case presentation: A 31-year old gentleman, weighing 640 pounds, with a history of congestive heart failure, renal failure and chronic obstructive pulmonary disease, presented to the emergency department with decreased level of consciousness and admitted to the intensive care unity with respiratory failure. He required long-term mechanical ventilation however given his BMI and co-morbidities, the best approach was unclear. After careful inspection of the anatomy, a percutaneous tracheostomy was safely performed in this patient. Conclusion: Performing a percutaneous tracheostomy is feasible and safe in selected super obese patients whose neck anatomy is favorable-particularly the palpation of the cricoid cartilage and the proximal tracheal rings. Appropriate positioning in these patients, while difficult, is also a sentinel step in the success of this technique.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.009 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".