Evidence map›Paper›PMID 39761067›Full record

ArticleDiabetes technology & therapeutics2025

Predicting and Ranking Diabetic Ketoacidosis Risk Among Youth with Type 1 Diabetes with a Clinic-to-Clinic Transferrable Machine Learning Model.

Craig Vandervelden, Brent Lockee, Mitchell Barnes, Erin M Tallon, David D Williams, Anna Kahkoska, Angelica Cristello Sarteau, Susana R Patton, Rona Y Sonabend, Jacob D Kohlenberg and 1 more

Abstract read
In one paragraph

Article in Diabetes technology & therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

11 authors.

Craig VanderveldenChildren's Mercy Kansas City, Endocrinology, Kansas City, Missouri, USA.ORCID 0000-0003-1185-7563
Brent LockeeChildren's Mercy Kansas City, Endocrinology, Kansas City, Missouri, USA.
Mitchell BarnesChildren's Mercy Kansas City, Endocrinology, Kansas City, Missouri, USA.
Erin M TallonChildren's Mercy Kansas City, Endocrinology, Kansas City, Missouri, USA.
David D WilliamsChildren's Mercy Kansas City, Endocrinology, Kansas City, Missouri, USA.ORCID 0000-0003-0501-3751
Anna KahkoskaDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0003-2701-101X
Angelica Cristello SarteauDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Susana R PattonNemours Children's Health, Jacksonville, Florida, USA.ORCID 0000-0002-8902-6965
Rona Y SonabendTexas Children's Hospital, Baylor College of Medicine, Houston, Texas, USA.
Jacob D KohlenbergDivision of Diabetes, Endocrinology and Metabolism, University of Minnesota, Minneapolis, MN.
Mark A ClementsChildren's Mercy Kansas City, Endocrinology, Kansas City, Missouri, USA.

Funding

Diabetes-Docs: Physician-Scientist Career Development Program (DiabDocs)K12DK133995 · NIDDK · STANFORD UNIVERSITY · PI LINDA A DIMEGLIO, David Matthew Maahs · 2022 to 2026
$16.0M
Building a Real-World Evidence Base for Continuous Glucose Monitoring in Older Adults with DiabetesK01AG084971 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Anna Rachel Kahkoska · 2024 to 2026
$384k
NIA NIH HHS K01 AG084971NIDDK NIH HHS K12 DK133995
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Diabetes Mellitus, Type 1Diabetic KetoacidosisMachine LearningAdolescentChildElectronic Health RecordsFemaleHospitalizationHumansMaleRisk AssessmentRisk Factorsartificial intelligencediabetic ketoacidosismachine learningpopulation healthtype 1 diabetes

Identifiers

PMID39761067
PMCPMC12171690

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.