Evidence map›Paper›PMID 30652541›Full record

ReviewJCO clinical cancer informatics2018

Using a Federated Network of Real-World Data to Optimize Clinical Trials Operations.

Umit Topaloglu, Matvey B Palchuk

2 registry-linked trialsAbstract readReview
In one paragraph

Review in JCO clinical cancer informatics, 2018. 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 219 papers.

0numbers the graph read from it
0cells of the map it votes in
219citing 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

219 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Renal risk differences between diffuse large B-cell lymphoma and chronic lymphocytic leukemia/small lymphocytic lymphoma: implications for supportive oncology care.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Observational

159 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

2 authors.

Umit TopalogluUmit Topaloglu, Wake Forest School of Medicine, Winston Salem, NC; and Matvey B. Palchuk, TriNetX, Cambridge, MA.
Matvey B PalchukUmit Topaloglu, Wake Forest School of Medicine, Winston Salem, NC; and Matvey B. Palchuk, TriNetX, Cambridge, MA.

Funding

Tumor Tissue CoreP30CA012197 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Ruben A. Mesa · 1985 to 2026
$55.4M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
NCATS NIH HHS UL1 TR001420NCI NIH HHS P30 CA012197
6 · The paper itself

Abstract

Clinical trials, whether industry, cooperative group sponsored, or investigator initiated, have an unacceptable rate of failure as a result of the inability to recruit sufficient numbers of patients. Even those trials that are completed often require time-consuming protocol amendments to achieve accrual goals. These inefficiencies in clinical trial research result in increasing costs and prolong the time needed to bring improved treatments to cancer clinical practice. TriNetX has developed a clinical research collaboration platform-deployed by a federated network of health care organizations (HCOs), pharmaceutical firms (Pharma), and contract research organizations (CROs)-to enable data-driven clinical research study design to reduce accrual failure and protocol amendment. Currently, the network extends to 55 HCOs and covers 84 million patients, mostly within the United States, but with a growing international presence. (Many of the HCOs in United States are Clinical and Translational Science Awardees and/or National Cancer Institute-designated cancer centers.) The TriNetX business model includes Pharma and the CROs as sponsors whose subscriptions financially support the network, including the software and hardware costs of the HCOs. Furthermore, as each HCO network member has their data harmonized with the TriNetX model upon joining, data sharing among them does not require any technical processes to establish connectivity. To date, on the basis of the data on the network, HCOs have been presented approximately 757 studies by Pharma and CROs, and four data-sharing subnetworks have been formed among member HCOs.

Indexed as

Clinical Trials as TopicHumansInformation DisseminationInformation Storage and RetrievalIntersectoral CollaborationNational Cancer Institute (U.S.)Research DesignSoftwareTranslational Research, BiomedicalUnited States

Identifiers

PMID30652541
PMCPMC6816049

What OpenQuestion holds

Textmetadata
LicenceTDM
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.