Evidence map›Paper›PMID 38702523›Full record

ArticleNature medicine2024

Equitable implementation of a precision digital health program for glucose management in individuals with newly diagnosed type 1 diabetes.

Priya Prahalad, David Scheinker, Manisha Desai, Victoria Y Ding, Franziska K Bishop, Ming Yeh Lee, Johannes Ferstad, Dessi P Zaharieva, Ananta Addala, Ramesh Johari and 2 more

Registry-linked trialAbstract read
In one paragraph

Article in Nature medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04336969 (Teamwork, Targets, Technology, and Tight Control in Newly Diagnosed Pediatric T1D - 4T Study), which is not on this map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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.

NCT04336969 nacompletednot on this map

Teamwork, Targets, Technology, and Tight Control in Newly Diagnosed Pediatric T1D - 4T Study

TypeinterventionalSponsorStanford UniversityRan2020 to 2025Enrolled316ConditionsType1diabetesArms4T Education and Care
3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Determinants, implementation strategies, and mechanisms of the 4T Program.Journal of clinical & translational endocrinology · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Clinician, Youth, and Parent Perspectives on Diabetes Technology Education.The science of diabetes self-management and care · 2025
    Article
  8. Article
  9. The Experience of Discrimination Impacts Technology Readiness and Psychosocial States of Minoritized Families Living With Type 1 Diabetes: Findings From the BEAD-T1D Pilot Study.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2025
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  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

12 authors.

Priya PrahaladDepartment of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, USA. prahalad@stanford.edu.ORCID 0000-0002-3894-4344
David ScheinkerDepartment of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, USA.
Manisha DesaiDepartment of Medicine, Quantitative Sciences Unit, Stanford University, Stanford, CA, USA.
Victoria Y DingDepartment of Medicine, Quantitative Sciences Unit, Stanford University, Stanford, CA, USA.ORCID 0000-0002-2049-9051
Franziska K BishopDepartment of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, USA.
Ming Yeh LeeDepartment of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, USA.
Johannes FerstadDepartment of Management Science and Engineering, Stanford University, Stanford, CA, USA.ORCID 0000-0001-5495-9151
Dessi P ZaharievaDepartment of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, USA.ORCID 0000-0002-9374-8469
Ananta AddalaDepartment of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, USA.ORCID 0000-0002-0508-4309
Ramesh JohariStanford Diabetes Research Center, Stanford University, Stanford, CA, USA.ORCID 0000-0002-3960-0770
Korey HoodDepartment of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, USA.
David M MaahsDepartment of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, USA.ORCID 0000-0002-4602-7909

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Melinda L. Telli · 2007 to 2026
$71.4M
Stanford Center for Clinical & Translational Education and Research (Spectrum)UL1TR003142 · NCATS · STANFORD UNIVERSITY · PI O'HARA, RUTH M · 2019 to 2023
$45.0M
Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
Diabetes, Endocrinology and Metabolism Training GrantT32DK007217 · NIDDK · STANFORD UNIVERSITY · PI Justin Pierce Annes, David Matthew Maahs · 1987 to 2026
$7.2M
Teamwork, Targets, Technology, and Tight Control in Newly Diagnosed Pediatric T1D: 4T StudyR18DK122422 · NIDDK · STANFORD UNIVERSITY · PI MAAHS, DAVID MATTHEW · 2020 to 2024
$3.2M
Reducing Disparities in Pediatric Diabetes: Building the Evidence Base to Inform Effective Diabetes Technology Interventions in Underrepresented MinoritiesK23DK131342 · NIDDK · STANFORD UNIVERSITY · PI ADDALA, ANANTA · 2022 to 2025
$970k
Foundation for the National Institutes of Health (Foundation for the National Institutes of Health, Inc.) R18DK122422Leona M. and Harry B. Helmsley Charitable Trust (Helmsley Charitable Trust) G-2002-04251-2National Science Foundation (NSF) 2205084NCATS NIH HHS UL1 TR003142NCI NIH HHS P30 CA124435NIDDK NIH HHS K23 DK131342NIDDK NIH HHS P30 DK116074NIDDK NIH HHS R18 DK122422NIDDK NIH HHS T32 DK007217
6 · The paper itself

Abstract

Few young people with type 1 diabetes (T1D) meet glucose targets. Continuous glucose monitoring improves glycemia, but access is not equitable. We prospectively assessed the impact of a systematic and equitable digital-health-team-based care program implementing tighter glucose targets (HbA1c < 7%), early technology use (continuous glucose monitoring starts <1 month after diagnosis) and remote patient monitoring on glycemia in young people with newly diagnosed T1D enrolled in the Teamwork, Targets, Technology, and Tight Control (4T Study 1). Primary outcome was HbA1c change from 4 to 12 months after diagnosis; the secondary outcome was achieving the HbA1c targets. The 4T Study 1 cohort (36.8% Hispanic and 35.3% publicly insured) had a mean HbA1c of 6.58%, 64% with HbA1c < 7% and mean time in the range (70-180 mg dl

Indexed as

Blood GlucoseDiabetes Mellitus, Type 1Glycated HemoglobinAdolescentAdultBlood Glucose Self-MonitoringChildDigital HealthFemaleGlycemic ControlHumansMalePrecision MedicineProspective StudiesTelemedicineYoung AdultBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID38702523
PMCPMC11847559

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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.