Sternoclavicular joint osteomyelitis following head and neck surgery
Bibliographic record
Abstract
OBJECTIVES/HYPOTHESIS: To review all reported cases of sternoclavicular joint (SCJ) osteomyelitis following head and neck surgery. STUDY DESIGN: Retrospective case review. METHODS: PubMed search and one additional case from our institution. RESULTS: Twelve cases were reviewed, and the following recommendations are suggested: risk factors for SCJ osteomyelitis should be identified; early and prompt diagnosis of SCJ osteomyelitis is warranted; tracheostoma care and careful examination of the skin should not be neglected; meticulous screening for cancer recurrence is imperative; if SCJ infection is suspected, cancer recurrence must be ruled out with biopsies; and surgical debridement is considered the gold standard of treatment. Administration of newer-generation antibiotics is a reasonable choice when the infection is detected early, as is maintaining a low threshold for surgical treatment if disease persists or progresses. CONCLUSIONS: Osteomyelitis of the SCJ following head and neck surgery is uncommon and must be distinguished from malignancy with biopsies. Early diagnosis and treatment are imperative. Laryngoscope, 2010.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".