Evidence map›Paper›PMID 37193038›Full record

ArticleJAMIA open2023

A global federated real-world data and analytics platform for research.

Matvey B Palchuk, Jack W London, David Perez-Rey, Zuzanna J Drebert, Jessamine P Winer-Jones, Courtney N Thompson, John Esposito, Brecht Claerhout

2 registry-linked trialsAbstract read
In one paragraph

Article in JAMIA open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 431 papers.

0numbers the graph read from it
0cells of the map it votes in
431citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

NCT07566299 completednot on this map

Early GLP-1 Receptor Agonist and SGLT2 Inhibitor Add-On Strategies in Adults With Obesity, Type 2 Diabetes, Cardiovascular-Kidney-Metabolic Syndrome Stage 2-3, and Metabolic Dysfunction-Associated Steatotic Liver Disease: A Target Trial Emulation

TypeobservationalSponsorChung Shan Medical UniversityRan2017 to 2026Enrolled118,805ConditionsObesity Type 2 Diabetes Mellitus, Cardiovascular-kidney-metabolic Syndrome, Metabolic Dysfunction-Associated Steatotic Liver Disease
NCT07708610 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Preadmission GLP-1 Receptor Agonist Plus SGLT2 Inhibitor Use and Early Outcomes After Pneumonia Hospitalization in Adults With Type 2 Diabetes: A Target Trial Emulation

TypeobservationalSponsorChung Shan Medical UniversityRan2026 to 2026Enrolled71,775ConditionsPneumonia, Type 2 Diabetes Mellitus (T2DM)
3 · Its place in the literature

Who cites it

431 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Big data: from signal to action.Proceedings (Baylor University. Medical Center) · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

371 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Matvey B PalchukTriNetX, LLC, Cambridge, Massachusetts, USA.ORCID https://orcid.org/0000-0002-7737-8752
Jack W LondonThomas Jefferson University, Philadelphia, Pennsylvania, USA.
David Perez-ReyBiomedical Informatics Group, Artificial Intelligence Department, Universidad Politécnica de Madrid, Madrid, Spain.
Zuzanna J DrebertTriNetX, LLC, Cambridge, Massachusetts, USA.
Jessamine P Winer-JonesTriNetX, LLC, Cambridge, Massachusetts, USA.ORCID https://orcid.org/0000-0002-6412-4139
Courtney N ThompsonTriNetX, LLC, Cambridge, Massachusetts, USA.
John EspositoTriNetX, LLC, Cambridge, Massachusetts, USA.
Brecht ClaerhoutTriNetX, LLC, Cambridge, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This article describes a scalable, performant, sustainable global network of electronic health record data for biomedical and clinical research. Materials and Methods: TriNetX has created a technology platform characterized by a conservative security and governance model that facilitates collaboration and cooperation between industry participants, such as pharmaceutical companies and contract research organizations, and academic and community-based healthcare organizations (HCOs). HCOs participate on the network in return for access to a suite of analytics capabilities, large networks of de-identified data, and more sponsored trial opportunities. Industry participants provide the financial resources to support, expand, and improve the technology platform in return for access to network data, which provides increased efficiencies in clinical trial design and deployment. Results: TriNetX is a growing global network, expanding from 55 HCOs and 7 countries in 2017 to over 220 HCOs and 30 countries in 2022. Over 19 000 sponsored clinical trial opportunities have been initiated through the TriNetX network. There have been over 350 peer-reviewed scientific publications based on the network's data. Conclusions: The continued growth of the TriNetX network and its yield of clinical trial collaborations and published studies indicates that this academic-industry structure is a safe, proven, sustainable path for building and maintaining research-centric data networks.

Indexed as

clinical trial protocolsdata managementdata warehouseelectronic health recordsreal-world data

Identifiers

PMID37193038
PMCPMC10182857

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.