Predictors of longer hospitalization of maxillofacial infections‐a 17‐year retrospective study
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVES: To evaluate treatment outcomes in patients with severe maxillofacial infections requiring hospital care during a 17-year period. METHODS: A retrospective cohort study reviewed 5,465 medical records, and the following data were collected: the reason for infection, locations of inflamed regions, treatment provided, bacteriological findings, and treatment outcomes. Other information included sociodemographic characteristics (age, gender), presence of systemic diseases, and smoking history. RESULTS: The annual incidence rate of patients with acute maxillofacial infections was 206 ± 19 cases with a male to female ratio 1.4:1.0, a mean hospital stay of 7.9 ± 4.9 days. Older age (>65 years), smoking and systemic diseases (diabetes), the causative tooth (molar), and need for extraoral incision predicted longer hospitalization. Intravenous penicillin was the most common drug prescribed in 50.5% of cases. A total of 132 different microorganisms were identified. The highest microorganism resistance occurred for metronidazole and the highest sensitivity was to clindamycin. CONCLUSIONS: Increased age, smoking, diabetes, causative tooth, and the occurrence of several infected spaces were associated with a longer hospital stay. Streptococcus α haemolyticus was the most common microorganism found in more than 70.0% of cases that were sensitive to intravenous penicillin.
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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 it