Analysis of Efficacy and Safety of Pediatric Ahmed Glaucoma Valve (FP8) in Advanced Age Populations
Bibliographic record
Abstract
PRECIS: The FP8 glaucoma valve was demonstrated to be reasonably safe with reliable results in an advanced age patient population. PURPOSE: As life expectancy increases, a growing number of patients with glaucoma are of an advanced age. There are little to no data looking at glaucoma surgical treatment options in patients over the age of 85. Our study describes the safety and efficacy of the FP8 Ahmed glaucoma valve in this patient population. MATERIALS AND METHODS: This was a retrospective study of patients over 85 years of age undergoing FP8 Ahmed glaucoma valve implantation. Preoperative age, sex, intraocular pressure (IOP), and number of glaucoma medications were recorded. Primary outcome variables were IOP and number of medications. Secondary outcome variables included any intraoperative or postoperative complications. RESULTS: Mean IOP preoperatively was 26 mm Hg on an average of 3 glaucoma medications (n=56). IOP was significantly reduced at all time points in follow-up for an overall reduction of 42% at 1 year and 46% at 2 years. Mean IOP at 1 year follow-up was 15 mm Hg and 14 mm Hg at 2 years follow-up. Glaucoma medications were reduced from a mean of 3 preoperatively to 2 postoperatively. CONCLUSIONS: Implantation of an FP8 Ahmed glaucoma valve is a relatively safe procedure to achieve satisfactory IOP and decreased reliance on glaucoma medications in an advanced age population.
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.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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 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".