Enterologic and gynaecologic complications of ovariohysterectomy in the bitch.
Bibliographic record
Abstract
The enterologic and gynaecologic associated complications post ovariohysterectomy (OVH) in bitches were evaluated. Medical records of 53 bitches with mean body weight of 15.2kg presented at the Veterinary Teaching Hospital (VTH), University of Ibadan between 1990-2010 were reviewed. Enterologic complications after OVH were observed in 11 (20.7%) of the cases studied. These include: Chronic vomiting 9 (81.8%), weight loss 9 (81.8%), anorexia, 8 (72.7%), diarrhea, 6 (54.5%) and pyrexia, 5(54.5%). Nine of the 11 dogs (81.8%) had extensive intestinal and uterine stump adhension. Gynaecologic complications 0bserve in 23 (43.3%) of the 53 bitches included vulva discharge 21(91.3%), incomplete extirpation of the ovaries 14(60.8%), recurrent estrus 9(39.1%), pseudopregnacy 8(34.7%), inflammation of the uterine cervical tissue and stump 4(17.4%) and non-resorbable ligature 3(13.0%). The study shows that enterologic and gynaecologic complications occur following OVH in bitches and strongly advice that bitches with gastrointestinal symptoms following OVH should be suspected of intestinal adhesions and incarcerations. Key words : enterologic, gynaecologic, complications, ovariohysterectomy, bitches.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".