Impact of Ocular Massage on Intraocular Pressure and Schlemm Canal Dimensions in Healthy Adults: Protocol for a Randomized Controlled Trial
Bibliographic record
Abstract
BACKGROUND: Ocular massage has been reported to lower intraocular pressure (IOP) temporarily. This effect could be related to enhanced aqueous humor outflow; however, the mechanism is unclear. OBJECTIVE: This study aims to examine the impact of digital and EyePeace ocular massage on IOP fluctuations and investigate whether the observed reduction in IOP is attributable to morphological changes in the Schlemm canal (SC). METHODS: Participants were randomly assigned in a 1:1:1 ratio to 1 of 3 groups: digital ocular massage, EyePeace ocular massage, or no ocular massage. The primary outcome measure will be IOP. The secondary outcome measures will include anterior segment optical coherence tomography assessment of the SC and trabecular meshwork. In addition, adverse events in the quality of vision will be monitored and documented using a mobile app-based questionnaire. All assessments will be performed at baseline and 10 minutes after the assigned interventions. RESULTS: Data collection was completed in the summer of 2025. The study results are expected to be published by the end of 2025. CONCLUSIONS: This study will investigate the impact of ocular massage on IOP and SC dimensions by using a randomized controlled design. As preliminary evidence suggests that ocular massage may transiently reduce IOP by enhancing aqueous humor outflow, this study will aim to clarify the underlying mechanism. By comparing digital ocular massage, EyePeace ocular massage, and no ocular massage, the study will assess changes in IOP and SC morphology. The findings are expected to provide insights into the role of mechanical manipulation in modulating aqueous humor outflow, potentially informing nonpharmacological strategies for possible glaucoma management. TRIAL REGISTRATION: Chinese Clinical Trial Registry ChiCTR2400093512; https://www.chictr.org.cn/showproj.html?proj=250459. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/78864.
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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 | 0.028 | 0.031 |
| Meta-epidemiology (narrow) | 0.006 | 0.002 |
| Meta-epidemiology (broad) | 0.012 | 0.006 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.067 | 0.010 |
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".