Osteonecrosis of the Jaw Correlated to Bisphosphonate Therapy in Non-oncologic Patients: Clinicopathological Features of 24 Patients
Bibliographic record
Abstract
OBJECTIVE: Osteonecrosis of the jaws (ONJ) is a well known side effect of bisphosphonate therapies in patients with multiple myeloma or other malignancies. Its real incidence is still undetermined, and only few cases of ONJ in patients taking bisphosphonates for non-oncologic diseases have been reported. It was postulated that the clinical features, predisposing factors, and treatment outcome of this subset of patients might be different from those of oncologic patients. METHODS: Over a 4 year period, a total of 102 bisphosphonate-treated patients affected by ONJ were identified. Among these, 24 patients underwent bisphosphonate therapy for non-neoplastic disease and their profile was analyzed. RESULTS: In this study cohort, bisphosphonates had been administered mainly for postmenopausal osteoporosis (20/24 patients, 83.3%), the duration of therapy until presentation of ONJ ranging from 11 to 40 months and the most common triggering event being dentoalveolar surgery. All patients were nonsmokers; 6 manifested multiple ONJ lesions and only 3 of them had possible comorbidities. Surgical debridement was performed in 19 patients for a total of 22 lesions, which were individually considered in the followup. The latter showed complete remission of ONJ in 21/22 lesions. CONCLUSION: Although it might be considered a rare condition in non-oncologic patients, ONJ is a harmful side effect of bisphosphonate therapies. Clinicians must be aware of this entity, inform patients of the risks related to dental surgery, and possibly undertake adequate preventive measures.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".