Implant extrusion after eye removal for endophthalmitis and panophthalmitis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: To evaluate the rate of orbital implant extrusion and exposure following enucleation or evisceration in patients with endophthalmitis or panophthalmitis, and to assess the influence of infectious etiology, implant type, and surgical technique on extrusion risk. METHODS: A systematic review was conducted using MEDLINE, CINAHL, Embase, and Scopus for studies published between January 1980 and December 2024. Studies were included if they evaluated implant extrusion or exposure following eye removal surgery in patients diagnosed with endophthalmitis or panophthalmitis. Fourteen retrospective cohort studies met the inclusion criteria. RESULTS: Extrusion or exposure rates ranged from 0% to 53%. Pseudomonas aeruginosa was the most frequently implicated pathogen. Non-porous implants, especially silicone, were more commonly associated with extrusion, while porous implants, particularly hydroxyapatite, demonstrated lower complication rates. No clear difference was observed between evisceration and enucleation in terms of extrusion risk. CONCLUSIONS: Implant extrusion is a significant postoperative complication in the setting or endophthalmitis or panophthalmitis. Pseudomonas aeruginosa and the use of non-porous implants may increase extrusion risk. The use of porous implants and appropriate prophylactic antibiotics may be associated with lower risk of extrusion. Further prospective studies are required to standardize risk assessment and prevention strategies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 it