Bevacizumab and gastrointestinal bleeding in hereditary hemorrhagic telangiectasia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We report a case of severe, refractory gastrointestinal (GI) bleeding in a patient with hereditary hemorrhagic telangiectasia (HHT) whose massive transfusion dependence was lifted shortly after treatment with bevacizumab, an anti-vascular endothelial growth factor. The patient's bleeding had been refractory to repeated endoscopic interventions, tranexamic acid, and tamoxifen. However, following treatment with bevacizumab at 5 mg/kg every other week, nearly 300 units of packed red blood cell transfusions were avoided in one year's time. Despite its relatively high cost, bevacizumab may have a more active role in the management of severe GI bleeding in HHT if such remarkable response can be consistently demonstrated.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it