My Patient Has No Blood Pressure: Have They Got an Abdominal Aortic Aneurysm? Point-Of-Care Ultrasound of the Abdominal Aorta in Hypotensive Patients
Bibliographic record
Abstract
Among patients presenting to the emergency department (ED) with undifferentiated hypotension, how can point-of-care ultrasound (PoCUS) help identify abdominal aortic aneurysm (AAA) as the cause of the hypotension? Many hypotensive patients in the ED are critically ill, with only minutes available to find the cause of the hypotension and treat it before the patient decompensates. While the classic description of the presentation of a ruptured AAA is of collapse with sudden onset abdominal pain and a palpable, pulsatile abdominal mass, detection of AAA by palpation is notoriously unreliable, and many patients are unaware of their underlying condition. This life-threatening situation is made even more difficult by virtue of the fact that the patient is often too unstable to travel for traditional diagnostics such as computed tomography. This article will address the use of PoCUS for the detection of AAA in the evaluation of the hypotensive patient.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| 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".