The Bioceramic Implant: Evaluation of Implant Exposures in 419 Implants
Why this work is in the frame
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Bibliographic record
Abstract
PURPOSE: To compare the rate of exposure in the immediate 3-month postoperative follow-up period with the rate of exposure after the immediate postoperative period in 419 anophthalmic patients with a bioceramic (aluminum oxide) orbital implant. METHODS: This is a retrospective, clinical case series of 419 patients who received a bioceramic orbital implant. All patients who presented to five oculofacial surgeons (D.J., S.G., J.D., S.K., L.M.) from January 1, 2000, to June 1, 2007, who received a bioceramic orbital implant and had a minimum of 3 months of follow-up were included in this study. The authors analyzed age, gender, type of surgery, implant size, peg system, follow-up duration, time of pegging, and problems encountered. The data from the patients with greater than 3 months of follow-up with exposure of the bioceramic implant are detailed in this report. RESULTS: There were 353 patients followed for 3 to 96 months with an average of 30 months of follow-up (median 23 months). Implant exposure occurred in 32/353 bioceramic implants (9.1%). Six of the 32 (19%) exposures occurred during the 90-day postoperative period (average 2.1 months). Twenty-six (81%) exposures occurred outside of the 90-day postoperative period (average 27.5 months, range 4-82 months). CONCLUSIONS: Implant exposures can occur anytime postimplant placement. This review discovered an implant exposure rate of 9.1%, with the majority of the exposures occurring after the postoperative follow-up period. Patients with porous orbital implants should be followed on a long-term basis to detect this complication.
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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 | 0.000 |
| 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) | 0.000 | 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 it