Retrospective characterisation and outcome of surgical treatment for cervical lymph node abscessation in 15 dogs
Bibliographic record
Abstract
CASE HISTORIES: Medical records of a private referral hospital (Veterinary Emergency Clinic, Toronto, Canada) and a university teaching hospital (Louisiana State University, Baton Rouge, LA, USA) were reviewed, using the search terms lymphadenectomy, lymph node extirpation, cervical lymphadenitis, and lymph node abscessation. Dogs (n = 15) with a diagnosis of cervical lymph node abscessations confirmed through histopathology that underwent surgery for treatment from January 2015-May 2022 were included in the study. Long-term follow-up data was obtained by an in-person visit or telephone interview with each owner. Dogs that met the inclusion criteria were of various breeds with a median age of 6 (min 0.5, max 12) years. All cases presented with cervical swelling and lethargy, with inappetence and fever in 5/15 dogs. The range of duration of clinical signs prior to treatment was 1-3 weeks. Seven dogs were treated with a short course of antibiotics, with or without prednisone, without successful resolution, before referral. CLINICAL FINDINGS: Diagnostic imaging using CT or cervical ultrasound revealed enlargement of unilateral mandibular and retropharyngeal lymph nodes with regional cellulitis and oedema in four dogs, enlargement of unilateral retropharyngeal lymph nodes with regional cellulitis in eight dogs, and a right ventral cervical abscess infiltrating the right medial retropharyngeal lymph nodes with oedema in one dog. Unilateral or bilateral cervical lymph node abscessation was diagnosed by lymphadenectomy and histopathology of affected lymph nodes. Bacterial cultures from samples of excised lymph nodes were positive in six cases. TREATMENT AND OUTCOME: Cervical exploration and lymphadenectomy were performed in all cases. Thirteen dogs received antibiotics along with surgical treatment. Resolution was defined as absence of cervical swelling or enlarged lymph node(s) at the time of long-term follow-up (median 300 (min 240, max 1,072) days). Most patients had resolution of clinical signs following surgical excision of affected lymph nodes. Two dogs had complications including recurrence of clinical signs and development of open wounds following surgery. Their clinical signs resolved following additional administration of antibiotics. CONCLUSIONS AND CLINICAL RELEVANCE: All dogs in this series had lymphadenectomy of abscessed lymph nodes and showed resolution of clinical signs with a favourable outcome. As 13/15 dogs also received antibiotics in conjunction with surgical treatment, appropriate use of antimicrobials may also play a role in treatment of this disease process.
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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) | 0.000 | 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".