Goniopuncture in the Treatment of Short-term Post-Trabectome Intraocular Pressure Elevation
Bibliographic record
Abstract
PURPOSE: This study characterizes patients with post-Trabectome intraocular pressure (IOP) elevation induced by membrane growth and/or peripheral anterior synechiae and examines the results of Nd:YAG goniopuncture as its treatment. METHODS: All Trabectome cases received standard postoperative care and no pilocarpine was given. Two groups were identified: (1) Trabectome-goniopuncture (TG) and (2) Trabectome alone (without goniopuncture) (TA). IOP and number of glaucoma medications (NGM) were collected by retrospective review. Information on whether cataract extraction was combined to the Trabectome was also recorded. RESULTS: In TG group (n=8), pre-Trabectome IOP and NGM were 16.9±3.7 mm Hg and 2.5±1.0, respectively. IOP rose to 21.9±2.9 mm Hg before goniopuncture (P=0.03) but lowered to 16.1±4.8 mm Hg after the treatment (P=0.006). IOP reduction persisted at post-Trabectome 3 months (13.5±1.5 mm Hg), 6.5 months (15.3±9.3 mm Hg), and 10.5 months (13.4±1.0 mm Hg). No significant medication reduction was detected. In TA group (n=22), pre-Trabectome IOP and NGM were 18.1±2.5 mm Hg and 2.7±0.5, respectively. NGM was significantly lowered from post-Trabectome day 1 on (1.8±0.6, P=0.01) and IOP from 3 months on (15.2±1.8 mm Hg, P=0.03). Five (62.5%) TG cases and 18 (81.5%) TA cases underwent combined cataract extraction-Trabectome. Compared with the TA group, TG cases are associated with thinner pachymetry (P=0.034). CONCLUSIONS: Cleft closure may cause post-Trabectome pressure elevation. Not providing any medication-sparing effect, goniopuncture is, however, effective in lysing these closures and in normalizing the IOP back to its pre-Trabectome level.
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 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 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".