ReviewACI open2026
Advancing Real-World Evidence Generation: Growth and Lessons Learned from the Early Years of Cosmos.
Review in ACI open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Comorbidity Associations with Ocular Pain after Cataract Surgery: Overall and Sex-Stratified Analysis.AJO international · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Objective: Cosmos is a vendor-facilitated platform created in collaboration with healthcare systems using electronic health records (EHRs) from Epic Systems Corporation. Participating organizations can use the platform to advance research and apply insights at the point of care. This manuscript outlines evolutions in the platform's infrastructure, growth of available data, and usage. Methods: Data from participating systems is sent via encrypted Health Level Seven Clinical Document Architecture to the Cosmos host at Epic Systems Corporation. Deduplicated data are stored in two relational Structured Query Language (SQL) databases, which can be accessed remotely. Aggregate counts from a limited dataset (LDS) are accessed through a no-code data visualization and analysis tool. Line-level data from an expert-determined de-identified dataset are accessed in a secure virtual computing environment. Data quality and user support frameworks facilitate a feedback loop improving data quality and researcher efficiency. Platform growth was measured as participating organization counts, data elements, and proportion of patient records with data spanning over 5 years. Medical literature was reviewed for peer-reviewed studies using Cosmos data. Results: Over 330 organizations across Canada, Lebanon, Saudi Arabia, and the United States submit data to Cosmos. The platform includes more than 300 million deduplicated patient records, 39% of which have over 5 years of clinical data. Ongoing expansion of data elements within Cosmos has allowed the platform to serve as the data source for over 100 peer-reviewed studies across multiple disciplines. Discussion: With its expanding size, tooling, and breadth of data elements, Cosmos may enable a wide range of study types. Cosmos remains subject to limitations such as variation in workflows, documentation error, and bias inherent to a population sourced from healthcare organizations using a single EHR vendor. Conclusion: Cosmos demonstrates a use case of vendor-facilitated collaboration to enable a broad spectrum of research.
Indexed as
Identifiers
What Socratic 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 Socratic graph.