Dental Implant Outcomes in Patients with Osteoporosis: A Matched Cohort Study
Bibliographic record
Abstract
This study evaluated differences in dental implant outcomes in patients with osteoporosis and their matched controls. Twenty-four patients, who received dental implants at the University of Toronto, were 60+ yrs and had osteoporosis at the time of implant placement, and their controls matched for age, sex and implant related features were examined clinically and radiographically. Clinical and demographic variables recorded at implant placement and follow-up examination, were analyzed. Implant survival rates of 95.1% and 100%, and success rates of 91.4% and 100% were noted in the osteoporosis and control samples respectively. All failures in the osteoporosis sample occurred in the maxilla of a single subject, raising suspicion that these were related to individual problems specific to this subject. Due to the paucity of adverse outcomes and with all the implant failures having occurred in one subject, no relationship of adverse outcomes with clinical and demographic variables could be analyzed.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".