Type I Aortic Dissection on Pregnant Woman
Bibliographic record
Abstract
Acute aortic dissection is rare in young women. Half of the dissections in women younger than 40 years old occur during pregnancy, typically in third trimester and in postpartum period. The reasons for increased rate of aortic dissection in pregnancy are known to be increased sex hormones, degeneration of elastic tissue in aorta, and pressure of the uterus on aorta and distal iliac arteries causing pathological alterations in the artery walls by increasing the resistance to distal flow. Aortic dissection is a condition that can be presented with different symptoms and can be fatal for both mother and the fetus if the diagnosis is missed or late. Despite the diagnosis tools like computerized tomography, echocardiography, magnetic resonance imaging or aortography, suspicion of aortic dissection is still the basis of diagnosis. Treatment objective is to provide the security of the mother and the fetus. In this case presentation, approach to pregnancy-induced aortic dissection was discussed by presenting a case in which a 41-year-old woman in 34th week presented with swelling in the legs, pain in the epigastric region and blurry vision complaints, developed type A aortic dissection and died during the follow-up. J Med Cases. 2016;7(3):105-108 doi: http://dx.doi.org/10.14740/jmc2437w
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".