Ab interno trabeculectomy: Outcomes in exfoliation versus primary open-angle glaucoma
Why this work is in the frame
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Bibliographic record
Abstract
PURPOSE: To compare outcomes in exfoliation glaucoma versus primary open-angle glaucoma (POAG) after ab interno trabeculectomy alone (Trabectome) or in combination with cataract surgery and intraocular lens (IOL) implantation. SETTING: Trabectome Study Group institutions. DESIGN: Prospective nonrandomized cohort study. METHODS: Outcomes included intraocular pressure (IOP), glaucoma medications, complications, secondary procedures, and success, defined as no secondary surgery and IOP less than 21 mm Hg and a greater than 20% reduction from baseline. RESULTS: In the ab interno trabeculectomy-alone group, the mean preoperative IOP was 29.0 mm Hg ± 7.5 (SD) in exfoliation glaucoma cases and 25.5 ± 7.9 mm Hg in POAG cases (P<.01). At 1 year, the mean decrease in IOP was -12.3 ± 8.0 mm Hg and -7.5 ± 7.4 mm Hg, respectively (P<.01); the secondary procedure rate was 20.9% and 34.9%, respectively (P=.02); and the cumulative probability of success was 79.1% and 62.9%, respectively (P=.004). In the combined ab interno trabeculectomy-IOL group, the mean preoperative IOP was 21.7 ± 8.4 in exfoliation glaucoma cases and 19.9 ± 5.4 mm Hg in POAG cases (P=.06). At 1 year, the mean decrease in IOP was -7.2 ± 7.7 and -4.1 ± 4.6, respectively (P<.01); the secondary procedure rate was 6.7% and 6.1%, respectively (P=.88); and the cumulative probability of success was 86.7% and 91.0% (P=.73), respectively. CONCLUSION: Ab interno trabeculectomy using this new incisional procedure safely lowered IOP to the mid teens, with an overall greater reduction in exfoliation glaucoma and improved success when combined with cataract surgery.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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