ArticleTzu chi medical journal
Characterizing the utilization of a federated clinical data network: A bibliometric analysis of TriNetX in Taiwan.
Article in Tzu chi medical journal. 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.
- Mapping TriNetX-Based Real-World Evidence Publications by Clinical Domain and Study Purpose, 2018-2025: A Bibliometric Analysis.Healthcare (Basel, Switzerland) · 2026Review
- Analyzing clinical laboratory data outcomes in retrospective cohort studies using TriNetX.Biochemia medica · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: TriNetX is a global network of deidentified electronic health record data that participating healthcare institutions can access and analyze. Despite its potential to build research capacity, the research produced using this network has not yet been independently analyzed. This study aims to characterize the research outputs produced by Taiwan-affiliated authors analyzing TriNetX data. Materials and Methods: A systematic search was performed to identify peer-reviewed Science Citation Index Expanded indexed publications with Taiwan-affiliated authors. The articles were screened and included if they were based on an analysis of data from the TriNetX platform. A bibliometric analysis was then performed to examine the composition of authorship teams, collaborations between countries/institutions, the medical specialties present, and the rankings of journals that published the articles. Results: Ninety-two studies with Taiwan affiliations using TriNetX were identified and included. An exponential increase in publications between 2022 and 2024 was identified. 75 (81.52%) of the articles were published in Q1 journals. Most medical specialties were represented in the dataset, with many Allergy, Immunology, and Rheumatology publications present. Chung Shan Medical University Hospital and Chi Mei Medical Center were identified as influential institutions that accounted for most of the publications. Conclusion: TriNetX is used regularly by Taiwan-based clinical researchers to conduct impactful research across a variety of medical specialties. The platform will play an increasingly important role in Taiwan's medical research. Further studies examining how TriNetX is utilized before publication are needed to better understand how the network influences research capacity building in Taiwan hospitals.
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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.