Ophthalmology Clinical Trial
Verified date | July 2016 |
Source | Tel-Aviv Sourasky Medical Center |
Contact | n/a |
Is FDA regulated | No |
Health authority | Israel: Ethics Commission |
Study type | Interventional |
The purpose of this study is to compare the efficacy and side effects of topical Loteprendol etabonate 0.5% (Lotemax) versus Dexamethasone 0.1% (Sterodex) following strabismus surgery.
Status | Not yet recruiting |
Enrollment | 100 |
Est. completion date | June 2018 |
Est. primary completion date | June 2018 |
Accepts healthy volunteers | No |
Gender | Both |
Age group | 5 Years and older |
Eligibility |
Inclusion Criteria: - Patients undergoing recession strabismus surgery through a fornix approach of one of the horizontal recti muscles (either medial rectus or lateral rectus) or of the inferior oblique muscle - Must be able to comply with topical treatment - Must be able to comply with post-operative appointment schedule. Exclusion criteria: - Previous ocular surgery (including previous strabismus surgery) - Ocular pathology - Family history of glaucoma - Personal history of allergic drug reaction or allergic conjunctivitis - More than one muscle operated on - Adjustable sutures technique - Patients in whom it is impossible to measure IOP before surgery |
Allocation: Randomized, Endpoint Classification: Safety/Efficacy Study, Intervention Model: Parallel Assignment, Masking: Single Blind (Investigator), Primary Purpose: Treatment
Country | Name | City | State |
---|---|---|---|
Israel | Department of Ophthalmology, Tel Aviv Sourasky Medical Center | Tel Aviv |
Lead Sponsor | Collaborator |
---|---|
Tel-Aviv Sourasky Medical Center |
Israel,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Change from baseline - Intraocular pressure (IOP) | IOP will be measured by Goldmann applantation tonometry one day before surgery (baseline IOP). In patients in whom Goldmann tonometry is impossible, ICARE tonometer will be used instead. IOP will be measured 1 day, 1 week, 2 weeks, 4 weeks after surgery, at each time point change from baseline IOP will be recorded. | 1 day before surgery (basline), and 1 day, 1 week, 2 weeks, 4 weeks after surgery | Yes |
Primary | Change from baseline - Conjunctival hyperemia | Conjunctival hyepremia will be measured one day before surgery (basline measurement) using the following scale: 0=no hyperemia, 1=mild (less than one quadrant), 2=moderate (less than half of the conjunctival surface), 3= severe (less than half of the conjunctival surface). Conjunctival hyperemia will be measured 1 day, 1 week, 2 weeks, 4 weeks after surgery, at each time point change from baseline measurement will be recorded. | 1 day before surgery (basline), and 1 day, 1 week, 2 weeks, 4 weeks after surgery | No |
Status | Clinical Trial | Phase | |
---|---|---|---|
Recruiting |
NCT03310216 -
The Clinical Application of Artificial Intelligent(AI) Visual Inspection System
|
N/A | |
Completed |
NCT05294640 -
Bacteriostatic Saline as a Local Anesthetic in Minor Eyelid Procedures
|
Phase 4 | |
Recruiting |
NCT04890496 -
Analysis of Hospitalization Data From ZOC
|
||
Completed |
NCT04327752 -
Skin Adverse Reactions Occuring in Children Treated by Biotherapy for Chronic Inflammatory Disease
|
||
Completed |
NCT03938883 -
Ocular Bandage Gel (OBG) Pivotal Trial in Patients Undergoing Photorefractive Keratectomy ("PRK")
|
N/A | |
Recruiting |
NCT04980430 -
Community Interest in Vision Screening Technology
|
||
Enrolling by invitation |
NCT04973150 -
Study on the Effect of Eye-covering Pretreatment on Acute Delirium After General Anesthesia in Pre-school Aged Children
|
N/A | |
Recruiting |
NCT04892316 -
Using Machine Learning to Adapt Visual Aids for Patients With Low Vision
|
||
Recruiting |
NCT04919837 -
The Efficacy of an Artificial Intelligence Platform to Adapt Visual Aids for Patients With Low Vision: a Randomised Controlled Trial
|
N/A | |
Recruiting |
NCT05588921 -
LensAge to Reveal Biological Age
|
||
Active, not recruiting |
NCT05682105 -
Detection of Jaundice From Ocular Images Via Deep Learning
|
||
Completed |
NCT04213183 -
Screening and Identifying Hepatobiliary Diseases Via Deep Learning Using Ocular Images
|
||
Recruiting |
NCT05223712 -
Artificial Intelligence System for the Detection and Prediction of Kidney Diseases Using Ocular Information
|
||
Completed |
NCT01771081 -
Evaluation of Changes in Visual Acuity in Patients With Diabetic Macular Edema (DME) Starting Treatment With an Approved Anti-VEGF Therapy
|
N/A |