Evidence map›Paper›PMID 34802286›Full record

ReviewJournal of diabetes science and technology2023

The Need for Data Standards and Implementation Policies to Integrate CGM Data into the Electronic Health Record.

Juan Espinoza, Nicole Y Xu, Kevin T Nguyen, David C Klonoff

Registry-linked trialAbstract readReview
In one paragraph

Review in Journal of diabetes science and technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06614127 (Continuous Intraoperative Glucose Monitoring), which is not on this map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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.

NCT06614127 active not recruitingnot on this mapstarted 2024, after this paper: background citation

Continuous Intraoperative Glucose Monitoring: A Pilot Study

TypeobservationalSponsorLoma Linda UniversityRan2024 to 2026Enrolled45ConditionsAnesthesiaArmsDexcom G7® sensor placed in upper arm and positioned over deltoid, Dexcom G7® sensor placed in lateral thigh
3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Review
  3. Type 2 diabetes mellitus.Nature reviews. Disease primers · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Survey of Diabetes Technology in the Pediatric Inpatient Setting.The journal of pediatric pharmacology and therapeutics : JPPT : the official journal of PPAG · 2025
    Article
  11. Observational
  12. Diabetes Technology Meeting 2023.Journal of diabetes science and technology · 2024
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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

4 authors.

Juan EspinozaDivision of General Pediatrics, Children's Hospital Los Angeles, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0003-0513-588X
Nicole Y XuDiabetes Technology Society, Burlingame, CA, USA.ORCID 0000-0001-9353-8819
Kevin T NguyenDiabetes Technology Society, Burlingame, CA, USA.ORCID 0000-0001-9102-6537
David C KlonoffMills-Peninsula Medical Center, San Mateo, CA, USA.ORCID 0000-0001-6394-6862

Funding

Southern California Clinical and Translational Science InstituteUL1TR001855 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Thomas A Buchanan, Michele D. Kipke · 2016 to 2026
$81.3M
Southern California Clinical and Translational Science InstituteUL1TR000130 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2012 to 2015
$36.0M
West Coast Consortium for Technology and Innovation in PediatricsP50FD006425 · FDA · CHILDREN'S HOSPITAL OF LOS ANGELES · PI BAR-COHEN, YANIV, ESPINOZA, JUAN · 2018 to 2022
$7.0M
FDA HHS P50 FD006425NCATS NIH HHS UL1 TR000130NCATS NIH HHS UL1 TR001855
6 · The paper itself

Abstract

The current lack of continuous glucose monitor (CGM) data integration into the electronic health record (EHR) is holding back the use of this wearable technology for patient-generated health data (PGHD). This failure to integrate with other healthcare data inside the EHR disrupts workflows, removes the data from critical patient context, and overall makes the CGM data less useful than it might otherwise be. Many healthcare organizations (HCOs) are either struggling with or delaying designing and implementing CGM data integrations. In this article, the current status of CGM integration is reviewed, goals for integration are proposed, and a consensus plan to engage key stakeholders to facilitate integration is presented.

Indexed as

Electronic Health RecordsWearable Electronic DevicesBlood GlucoseBlood Glucose Self-MonitoringConsensusHumansBlood Glucosecontinuous glucose monitordiabeteselectronic health recordhospitalintegratesensor

Identifiers

PMID34802286
PMCPMC10012359

What OpenQuestion holds

Textmetadata
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.