[Levonorgestrel intrauterine device associated with ureterpyelocaliceal ectasia].
Bibliographic record
Abstract
BACKGROUND: In 2010, Health Canada, the equivalent to the FDA, reported that the risk of uterine perforation caused by levonorgestrel intrauterine device (IUD) is very serious, warning that its use had increased the number of uterine perforation. CLINICAL CASE: A 33 years old patient in who was placed three years before a levonorgestrel IUD; She presented evolution of 10 days with pain in hypogastric and both flanks and chronic constipation of two years; in exploration: moderate abdominal distention, IUD strings were not visible in uterine cervix. With translocated IUD diagnosis, a tomography was performed, finding IUD in abdominal cavity and ureter pyelocalyceal bilateral ectasia; preoperative plasma concentration of levonorgestrel 5.1 nmol/L, leukocytosis of 11,000 cells/mm3, and 20-30 erythrocytes in urine exam. Laparoscopic resection of omentum attached to IUD translocated was performed. One month after surgery plasma levonorgestrel in 0.3 nmol/L, normal urinalysis and hematic cytometry and resolution of the urinary tract ectasia. CONCLUSIONS: devices translocated with levonorgestrel, must be removed because the inflammatory reaction caused and the perforation of hollow viscera likelihood, with possibility to produce digestive tract and urinary tract ectasia by its pharmacologic action on smooth muscle.
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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 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".