The effects of overcoming experimental bladder outflow obstruction in fetal sheep
Bibliographic record
Abstract
Objective: To develop an ovine model of fetal bladder outflow obstruction and to investigate the effect on the kidney of surgical relief of the obstruction in the prenatal period. Methods: Ultrasound examination and amniocentesis were performed on 68 date-bred pregnant ewes at day 57 of pregnancy (term = 150 days). Fetal gender was determined using a molecular technique to identify single male fetuses. The urethra and urachus were ligated at hysterotomy on 20 of these fetuses at 75 days' gestation. Comparisons were made with six controls that did not undergo operation. Changes that occurred in fetal urinary tract appearance were detected using serial ultrasound examinations. Seven obstructed cases chosen at random had further prenatal surgery on day 94 to decompress the obstructed urinary tract by vesicostomy. The animals were killed at 110 days' gestation and post-mortem studies were performed. Results: Fourteen days after surgical obstruction, there were increases in the summed renal lengths (33 mm vs. 28 mm, p = 0.003) and renal pelvis anteroposterior (A-P) diameters (8 mm vs. 5.5 mm, p = 0.02). In the group allocated to receive surgical decompression, 9 days' relief of obstruction resulted in significant reductions in summed renal lengths (30 mm vs. 41 mm, p = 0.024; controls 31 mm) and renal pelvis A-P diameters (5.8 mm vs. 8.9 mm, p = 0.012; controls < 2 mm). Post-mortem histological examination in the surgical decompression group revealed an estimated number of glomeruli similar to controls and greater than in the obstructed cases. Conclusion: Surgical relief of fetal bladder outflow obstruction in ovine mid-pregnancy results in improved renal appearance on ultrasonic and histopathological examinations.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".