ArticleClinical trials (London, England)2014
Use of health plan combined with registry data to predict clinical trial recruitment.
Article in Clinical trials (London, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.
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
5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.
- Bibliometric analysis and visualization mapping of herpes zoster vaccine publications from 1999 to 2024.Frontiers in medicine · 2025Pooled it
- The usage of population and disease registries as pre-screening tools for clinical trials, a systematic review.Systematic reviews · 2024Pooled it
- Determining the Suitability of Registries for Embedding Clinical Trials in the United States: A Project of the Clinical Trials Transformation Initiative.Therapeutic innovation & regulatory science · 2021Review
- Patient and Rheumatologist Perspectives Regarding Challenges to Achieving Optimal Disease Control in Rheumatoid Arthritis.Arthritis care & research · 2020Article
- Information Technology for Clinical, Translational and Comparative Effectiveness Research. Findings from the Yearbook 2015 Section on Clinical Research Informatics.Yearbook of medical informatics · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundLarge pragmatic clinical trials (PCTs) are increasingly used to conduct comparative effectiveness research. In the context of planning a safety PCT of the live herpes zoster vaccine in rheumatoid arthritis (RA) patients aged ≥ 50 years receiving anti-tumor necrosis factor (TNF) therapy, we evaluated the use of health plan combined with registry data to assess the feasibility of recruiting the 4000 patients needed for the trial and to facilitate site selection.
methodsUsing national US data from Medicare, we identified older RA patients who received anti-TNF therapy in the last quarter of 2009. Extrapolations were made from the Medicare patient population to younger patients and those with other types of insurance using the Consortium of Rheumatology Researchers of North America (CORRONA) disease registry. Patients' treating rheumatologists were grouped into practices and sorted by size from the greatest to the least number of eligible patients.
resultsApproximately 50,000 RA patients receiving anti-TNF therapy were identified in the Medicare data, distributed across 1980 physician practices. After augmenting Medicare data with information from CORRONA and extrapolating to younger patients and those with other types of insurance, more than 12,000 potentially eligible study subjects were identified from the 50 largest rheumatology practices.
conclusionHealth plan and registry databases appear useful to assess feasibility of large pragmatic trials and to assist in selection of recruitment sites with the greatest number of potentially eligible patients. This novel approach is applicable to trials with simple inclusion/exclusion criteria that can be readily assessed in these data sources.
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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.