ReviewCurrent opinion in ophthalmology2022
The American Academy of Ophthalmology IRIS Registry (Intelligent Research In Sight): current and future state of big data analytics.
Review in Current opinion in ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Visual Impairment and Cardiovascular Risk Factors in Hispanic and Latino Adults.JAMA network open · 2026Article
- Visual Outcomes Following Infectious Endophthalmitis from Intravitreal Injections of Biologic Drugs: An Intelligent Research in Sight Registry Retrospective Analysis.Ophthalmology and therapy · 2026Article
- Loss to follow-up and increase in cup-to-disc ratio among glaucoma patients in the IRIS Registry.Canadian journal of ophthalmology. Journal canadien d'ophtalmologie · 2026Article
- Trial of an Internet-Based Cataract and Lens Exchange Registry in a Tertiary Teaching Hospital: Insights and Impact on Clinical Workflow.Journal of ophthalmology · 2026Article
- Mentorship as metadata: clinical annotation and the limits of real-world data in oculoplastic surgery.Frontiers in ophthalmology · 2026Article
- The power of many: multi-database approach to understand the relationship between statins and glaucoma.Eye (London, England) · 2025Article
- CDEMapper: enhancing National Institutes of Health common data element use with large language models.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Standalone Canaloplasty and Trabeculotomy Using the OMNI Surgical System: A Subgroup Analysis from the American Academy of Ophthalmology IRISClinical ophthalmology (Auckland, N.Z.) · 2025Article
- Data Harmonization, Standardization, and Collaboration for Diabetic Retinal Disease (DRD) Research: Report From the 2024 Mary Tyler Moore Vision Initiative Workshop on Data.Translational vision science & technology · 2024Article
- The IRIS Registry: A Novel Approach to Clinical Registry Development in Ophthalmology.Mayo Clinic proceedings. Digital health · 2023Review
- Assessing Quality Metrics in Ophthalmic Surgery: A Standardized Approach.Ophthalmology science · 2023Article
- Factors Associated with Missing Sociodemographic Data in the IRIS® (Intelligent Research in Sight) Registry.Ophthalmology scienceArticle
- Big data and electronic health records for glaucoma research.Taiwan journal of ophthalmologyReview
- Factors Associated with Nonreturn after Loss to Follow-Up from Glaucoma Care: An IRIS® Registry Retrospective Analysis.Ophthalmology. GlaucomaArticle
- Loss to Follow-up and Risk of Incident Blindness among Patients with Glaucoma in the IRIS® Registry.Ophthalmology. GlaucomaArticle
- Likelihood of Corneal Transplantation after Tube versus Trabeculectomy: An IRIS® Registry Study.Ophthalmology. GlaucomaArticle
- Barriers to Extracting and Harmonizing Glaucoma Testing Data: Gaps, Shortcomings, and the Pursuit of FAIRness.Ophthalmology scienceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
purpose of reviewTo describe the drivers, development, and current state of the American Academy of Ophthalmology IRIS Registry (Intelligent Research In Sight), and analytics involving deidentified aggregate IRIS Registry data. RECENT
findingsThe IRIS Registry has a core mission of quality improvement and reporting. In addition, analytic projects performed to date have included characterizing patient populations and diseases, incidence, and prevalence; clinical outcomes and complications; risk factors and effect modifiers; practice patterns; and trends over time. Pipeline projects include application of artificial intelligence and machine learning approaches for predictive modeling and analytics, disease mapping, detecting patterns and identifying cohorts, and optimizing treatment based on patient-specific characteristics. SUMMARY: The IRIS Registry is the nation's largest single specialty clinical registry, with unique data elements specific to ophthalmology. It offers a wealth of opportunities involving big data analytics, including traditional inferential statistics as well as machine learning and artificial intelligence approaches scalable on massive amounts of data.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.