Spontaneous spondylodiscitis and epidural abscess due to Listeria monocytogenes in a middle-aged patient with gentamicin related side effects: A case report and a review of literature
Bibliographic record
Abstract
Introduction: (LM) is a rare condition. Research question: We present a case of spontaneous LM spondylodiscitis with an epidural abscess in a middle-aged man, who reported no gastrointestinal infection. Material and methods: We identified 5 spinal infection cases due to LM in the literature, with 3 diagnosed as primary spondylodiscitis. Results: The patient was treated with surgical decompression, debridement, and antibiotic therapy. Blood cultures remained negative throughout the case and microbiological cultures were obtained during surgery. The patient developed side-effects of prolonged gentamicin therapy but made a recovery from his spinal complaints at 6-months follow-up. Listeriosis is a relatively rare food-borne disease with a wide spectrum of presentation. Surgeons should consider more aggressive therapy for spinal infections and recognize the uncommon manifestations. We identified 3 primary and 2 secondary LM spondylodiscitis cases in the literature. Antibacterial treatment of LM spondylodiscitis varied in agents and duration, but no side-effects were previously reported. Gentamicin treatment requires care and attention to complications. Discussion and conclusion: is a rare cause of primary spondylodiscitis. Further studies are needed to establish a safe treatment protocol for treatment with gentamicin and LM spondylodiscitis.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".