Efficacy and safety of combined cataract surgery with 2 trabecular microbypass stents versus ab interno trabeculotomy
Bibliographic record
Abstract
PURPOSE: To compare the outcomes of combined cataract surgery with trabecular microbypass stents and ab interno trabeculotomy in patients with open-angle glaucoma. SETTING: University of Toronto, Toronto, Ontario, and University of Montreal, Montreal, Quebec, Canada, and Glaucoma Associates of Texas, Dallas, Texas, USA. DESIGN: Retrospective case series. METHODS: Patients with primary open-angle, pseudoexfoliative, or pigmentary dispersion glaucoma were included. Primary outcome measures were intraocular pressure (IOP), postoperative medications, success (IOP ≤18 mm Hg, no glaucoma medications or reoperations), and postoperative adverse events. RESULTS: The average patient age was 76.5 years ± 12 [SD]. Forty-nine eyes had phacoemulsification and 2 had stent implantations; 52 eyes had phacoemulsification and trabeculotomy surgery with a 12-month postoperative follow-up. The analysis of variance indicated a significant reduction in mean IOP from baseline to 12 months for stent (19.6 ± 5.3 mm Hg to 14.3 ± 3.1 mm Hg; P < .001) and trabeculotomy (20.6 ± 6.8 mm Hg to 17.3 ± 6.5 mm Hg; P < .001) and lower mean IOP at 12 months in the stent group (P = .01). The median number of glaucoma medications decreased from baseline to 12 months in both groups and was lower in the stent group at 3, 6, and 12 months. Thirty-nine percent (19 eyes) in the stent group and 14% (7 eyes) in the trabeculotomy group achieved success at 12 months (P = .006). The incidence of hyphema was lower in the stent group (P = .008). CONCLUSIONS: Both types of surgery achieved a significant reduction in IOP and medication use at 12 months, with the stent group achieving higher success and a reduced incidence of postoperative hyphema. FINANCIAL DISCLOSURE: Dr. Ahmed is a consultant to and investigator for Glaukos Corp., Ivantis, Inc., Transcend Medical, Inc., and Aquesys, Inc., and has received speaker honoraria from Neomedix, Inc. Dr. Saheb has received travel funding from Glaukos Corp., Ivantis, Inc., and Transcend Medical, Inc., and a research grant from Ivantis, Inc. Dr. Harasymowycz has received a research grant from Ivantis, Inc. Dr. Fellman is a consultant to Endo Optiks, Inc., and has received honoraria from Optous and research funds from Ivantis, Inc., Glaukos Corp., and Transcend Medical, Inc. No other author has a financial or proprietary interest in any material or method mentioned.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 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".