Real-world outcomes of micropulse transscleral laser therapy in glaucoma patients: Efficacy of initial and repeated treatment, transient intraocular pressure spikes
Bibliographic record
Abstract
Purpose To investigate the clinical outcomes of micropulse transscleral laser therapy (MP-TLT) in a cohort of glaucoma patients, including safety profile, post-operative transient intraocular pressure (IOP) spikes, long-term efficacy and prognostic factors in terms of IOP-lowering. Methods This was a retrospective observational cohort study. Medical records of all patients who consecutively underwent MP-TLT between May 2019 and February 2023 at a tertiary referral centre were scrutinised and relevant data were retrospectively analysed. Results A total of 131 patients (138 eyes) with a mean age of 73.2 ± 14.2 years were included. Mean pre-interventional IOP was 24.1 ± 9.1 mmHg. Within 6–12 h following the intervention on the same day, an IOP spike was regularly observed, reaching on average 31.7 ± 10.3 mmHg ( p < 0.001 to baseline). Two years after the intervention, mean IOP was 16.1 ± 5.6 mmHg ( p < 0.005 to baseline). In 18 eyes, the treatment was repeated, and the IOP lowering effect was more durable after the second intervention compared to the first one (Cox-Mantel test, p =<0.005). Apart from the transient post-interventional IOP spikes, no severe complications were observed. Conclusions MP-TLT is associated with significant IOP spikes in the first post-operative hours. Thus, close post-interventional IOP monitoring or even preventive (additional) IOP-lowering treatment may be considered. In the long term, the procedure yields favourable outcomes in terms of safety and IOP reduction. Repeated MP-TLT treatment, if necessary, seems to achieve more sustained IOP reduction than the initial treatment.
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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 | 0.000 | 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".