Traitement des saignements chroniques associés au syndrome d’ectasies vasculaires antrales avec un oestroprogestatif.
Bibliographic record
Abstract
Resume Le syndrome d’ectasies vasculaires antrales est de plus en plus reconnu comme une cause de saignement chronique responsable d’anemie severe. Cet article resume le cas d’une patiente âgee de 92 ans souffrant de ce syndrome chez qui un oestroprogestatif, le LoestrinMD, a permis de maintenir l’hemoglobine au-dessus de 100 et de cesser les transfusions 3 semaines apres le debut du traitement. Malheureusement, son utilisation a du etre interrompue apres 10 semaines a la suite de l’apparition d’une phlebite au-dessus du genoux. L’immobilite de la patiente a probablement contribue a l’avenement de cet effet indesirable, car elle circulait presque uniquement en fauteuil roulant a cause d’un probleme de demarche responsable de plusieurs chutes. Une revue de la documentation scientifique sur les traitements actuels de ce syndrome est egalement presentee, ainsi que les raisons qui nous ont motivees a utiliser un contraceptif oral pour traiter l’anemie severe de notre patiente. Abstract Watermelon stomach is a disease that is now well known to be responsible of chronic bleeding resulting in severe anemia occuring mainly in elderly women. This article summarizes the case of a 92-year old female patient suffering from watermelon stomach where an estrogen-progestogen combination, LoestrinTM , has allowed to maintain hemoglobin over 100 and to stop transfusions 3 weeks after the beginning of treatment. Unfortunately, its use had to be stopped after 10 weeks following the onset of a phlebitis above the knee. The immobility of the patient has probably led to the onset of this adverse effect, because the patient was almost only using a wheelchair to move due to disturbances of gait responsible of several falls. A review of literature regarding current treatments of watermelon stomach is also shown, as well as reasons that motivate us to use an oral contraceptive to treat severe anemia of our 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".