ArticleMedical care2026
Visualizing the Complexity of the PCORnet® Infrastructure and Implications for Designing PCORnet® Studies.
Article in Medical care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Comparative risk of hepatocellular carcinoma and mortality among initiators of GLP-1 receptor agonists versus other glucose-lowering therapies: a target trial emulation.Hepatology international · 2026Article
- PCORnet®: Accelerating Patient-Centered Comparative Clinical Effectiveness Research.Medical care · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA national clinical research network such as PCORnet® must, by design, accommodate myriad approaches to support effective and efficient multisite and multinetwork research activities. Therefore, visualizing the architecture of clinical research networks is imperative to improve their utility for national scale research.
objectives(1) To present a methodological approach to apply system mapping methods to characterize the key actors, relationships, and exchanges within the PCORnet infrastructure for data activities. (2) To describe the findings of the PCORnet infrastructure mapping project and characterize the commonalities and heterogeneity between CRN infrastructures based on their data management and sharing activities. METHODS AND
designSystem mapping methods were applied in this paper to provide a more accurate and nuanced methodology to visualize the complex infrastructure provided by health research networks in order to support national-scale health research, specifically patient-centered comparative clinical effectiveness research (CER) using PCORnet.
resultsTo make PCORnet more accessible to investigators, patient partners, research funders, and other collaborators, the mapping methods and maps presented in this paper offer a new tool to visualize the design and architecture of the PCORnet infrastructure to fulfill distributed queries.
conclusionsCritically, the methodology and approach to system mapping offer a new path forward to support Network collaboration as a learning health system (LHS) by improving transparency and dialogue with patient partners regarding the strengths and potential limitations of infrastructure for evidence generation and informing health care decisions.
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.