ArticleOphthalmic epidemiology2019
Techniques for improving ophthalmic studies performed on administrative databases.
Article in Ophthalmic epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Validity of Administrative Coding for Nonarteritic Ischemic Optic Neuropathy.Journal of neuro-ophthalmology : the official journal of the North American Neuro-Ophthalmology Society · 2024Article
- Accuracy of the International Classification of Diseases, 9th Revision for Identifying Infantile Eye Disease.Ophthalmic epidemiology · 2022Article
- Demographics and Seasonality of Retinal Detachment, Retinal Breaks, and Posterior Vitreous Detachment from the Intelligent Research in Sight Registry.Ophthalmology science · 2022Article
- Incidence of Proliferative Diabetic Retinopathy and Other Neovascular Sequelae at 5 Years Following Diagnosis of Type 2 Diabetes.Diabetes care · 2021Article
- Rates of Eye Care and Diabetic Eye Disease among Insured Patients with Newly Diagnosed Type 2 Diabetes.Ophthalmology. Retina · 2021Article
- Incidence, prevalence, and risk factors of infectious uveitis and scleritis in the United States: A claims-based analysis.PloS one · 2020Article
- Big Data-Based Epidemiology of Uveitis and Related Intraocular Inflammation.Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)Article
- Developing Laterality-Specific Computable Phenotypes from Electronic Health Record Data, Employing Treatment-Warranted Diabetic Macular Edema as a Use Case.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
5 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
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.