Effects of hyperbaric oxygen therapy on wound healing in veterinary medicine: a pilot study
Bibliographic record
Abstract
BACKGROUND: In veterinary medicine, wounds have a high incidence in clinical practice. A technique that can accelerate healing has been extensively studied, and the treatment with hyperbaric oxygen therapy (HBOT) is currently recognized as one of the best adjuvant treatments in this matter. AIM: The main objective of this pilot clinical study was to assess the therapeutic effect of HBOT in severe wounds classified according to the Modified Vancouver Scale (MVS) between 10 and 15 points or greater than 15 points (MVS > 10 and ≤ 15; MVS > 15). METHODS: A study population of 41 patients was divided into the dog group and the cat group and were treated at Lisbon Animal Rehabilitation and Regeneration Center, with 100% oxygen and 2.4 atmospheres absolute for 90 minutes. The patients' wounds were assessed using the MVS at the time of admission, in the first 24 hours, 48 hours, 72 hours after HBOT, and at the time of medical release. This study also sought to assess if HBOT is a safe therapy in small animal clinical practices by monitoring the major side effects (SEM) and minor side effects (SEm) observed throughout each session. RESULTS: The results obtained showed that HBOT allowed a decrease in the MVS classification. CONCLUSION: The results suggested that HBOT may be an interesting complementary therapy to be prescribed in wounds that present difficulty in healing. Furthermore, it was considered a safe therapy since in 289 sessions of HBOT, no SEM was observed, and as for SEm, the highest incidence was the act of swallowing. However, more studies should be carried out with HBOT in small animal clinical practices to confirm these results.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".