Factors Affecting Incidence of Uterine Torsion in Egyptian Buffaloes (Bubalus bubalis) and its Response for Rolling
Bibliographic record
Abstract
Objective: The present work was planned to study the incidence of uterine torsion in Egyptian buffaloes as well as its prognosis after mechanical treatment. Methods: A total number of 35 buffaloes of different ages, parities and stage of pregnancy with complain of colic and anorexia were included in the present study. These animals were examined rectally to detect stage of pregnancy, degree, direction, duration, location of uterine torsion. Mechanical handling of torsion cases and prognosis of recovered cases was performed. After birth, sex of new born was also recorded. Results: The torsion of uterus mostly occurred in pleuriparous buffaloes (100%) in right side (85.7%) during second half of pregnancy (100%). Most cases were postcervical (85.7%) during the early stage (7 and 8 months). Torsion also may occur during labour (17.4%) where the cervix was dilated after correction. Most cases of uterine torsion occur in stabled animals for long period (97%). The uterine torsion associated with male calves (65.7%) as well as with large size calves (40-50kg) and majority of the calves were in normal position. The first foetal sac expelled in majority of cases was amniotic sac (97%) with few cases of placental retention. Uterine torsion with short duration (1-6 h) usually needs 1-2 rolls only for correction and usually takes 0-6h (100%) for cervical dilatation. Occurrence of uterine torsion for above three days usually did not respond for rolling. Conclusion: Uterine torsion usually occurs in old stabled animal with good BCS during green season at last month of pregnancy. The right sever and post cervical torsion were the most common type of torsion. Rapid diagnosis of uterine torsion within 6 h usually results in good prognosis even in severe cases.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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".