Evidence map›Paper›PMID 32981196›Full record

ArticlePediatric diabetes2020

The accuracy of provider diagnosed diabetes type in youth compared to an etiologic criteria in the SEARCH for Diabetes in Youth Study.

Tessa L Crume, Richard F Hamman, Scott Isom, Jasmin Divers, Elizabeth J Mayer-Davis, Angela D Liese, Sharon Saydah, Jean M Lawrence, Catherine Pihoker, Dana Dabelea and 1 more

Open access · greenAbstract readComparative StudyMulticenter Study
In one paragraph

Article in Pediatric diabetes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 14% of its field
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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Nonunion and Postoperative Complications Associated With Intramedullary Nailing Versus Plate Fixation of Humeral Shaft Fractures.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2025
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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 at 7 institutions in 1 country.

Tessa L CrumeDepartment of Epidemiology, Colorado School of Public Health, University of Colorado, Lifecourse Epidemiology of Adiposity and Diabetes (LEAD Center) Anschutz Medical Campus, Denver, Colorado, USA.ORCID 0000-0002-5397-4154
Richard F HammanDepartment of Epidemiology, Colorado School of Public Health, University of Colorado, Lifecourse Epidemiology of Adiposity and Diabetes (LEAD Center) Anschutz Medical Campus, Denver, Colorado, USA.
Scott IsomWake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Jasmin DiversWake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Elizabeth J Mayer-DavisSchool of Public Health and School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0003-3858-0517
Angela D LieseDepartment of Epidemiology and Biostatistics, University of South Carolina, Columbia, South Carolina, USA.
Sharon SaydahDivision of Diabetes Translation, Centers for Disease Control and Prevention, Hyattsville, Maryland, USA.
Jean M LawrenceDepartment of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, California, USA.
Catherine PihokerDepartment of Pediatric Endocrinology, Children's Hospital & Regional Medical Center, Seattle, Washington, USA.ORCID 0000-0001-9074-7770
Dana DabeleaDepartment of Epidemiology, Colorado School of Public Health, University of Colorado, Lifecourse Epidemiology of Adiposity and Diabetes (LEAD Center) Anschutz Medical Campus, Denver, Colorado, USA.
SEARCH for Diabetes in Youth Study Group
Colorado School of Public Health · USWake Forest University · USCenters for Disease Control and Prevention · USKaiser Permanente · USSeattle Children's Hospital · USUniversity of North Carolina at Chapel Hill · USUniversity of South Carolina · US

Funding

Institute of Translational Health SciencesUL1TR000423 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$49.4M
South Carolina Clinical & Translational Research Institute (SCTR)UL1TR001450 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T., FLUME, PATRICK A · 2015 to 2024
$41.1M
LCenter for Clinical and Translational Science and TrainingUL1TR001425 · NCATS · UNIVERSITY OF CINCINNATI · PI MEINZEN-DERR, JAREEN, STRAWN, JEFFREY ROBERT · 2015 to 2024
$37.5M
Colorado Clinical and Translational Science Institute (UL1)UL1TR000154 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2012 to 2013
$20.4M
Limited Competition for the Continuation of the SEARCH for Diabetes in Youth Cohort Study (UC4)SEARCH for Diabetes in Youth Cohort StudyUC4DK108173 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DAGOSTINO, RALPH B. · 2015 to 2016
$14.8M
UCHSC DIABETES ENDOCRINOLOGY RESEARCH CENTERP30DK057516 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI HUTTON, JOHN C · 2000 to 2010
$14.0M
Cincinnati Center for Clinical and Translational Sciences and TrainingUL1TR000077 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E., TSEVAT, JOEL · 2012 to 2014
$9.9M
South Carolina Clinical & Translational Research Institute (SCTR)UL1TR000062 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T. · 2012 to 2014
$9.4M
SEARCH for Diabetes in Youth Coordinating CenterU01DP000250 · DP · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BELL, RONNY A · 2005 to 2009
$4.8M
Population-based Diabetes Youth RegistryU18DP006131 · DP · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WAGENKNECHT, LYNNE E · 2015 to 2019
$3.8M
SEARCH For Diabetes in Youth, Phase 3: Cohort Study-Carolina CenterU18DP002708 · DP · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MAYER-DAVIS, ELIZABETH J · 2010 to 2014
$3.6M
SEARCH for Diabetes in Youth 2: Colorado CenterU01DP000247 · DP · UNIVERSITY OF COLORADO DENVER · PI DABELEA, DANA · 2005 to 2009
$3.6M
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6 · The paper itself

Abstract

backgroundAlthough surveillance for diabetes in youth relies on provider-assigned diabetes type from medical records, its accuracy compared to an etiologic definition is unknown.

methodsUsing the SEARCH for Diabetes in Youth Registry, we evaluated the validity and accuracy of provider-assigned diabetes type abstracted from medical records against etiologic criteria that included the presence of diabetes autoantibodies (DAA) and insulin sensitivity. Youth who were incident for diabetes in 2002-2006, 2008, or 2012 and had complete data on key analysis variables were included (n = 4001, 85% provider diagnosed type 1). The etiologic definition for type 1 diabetes was ≥1 positive DAA titer(s) or negative DAA titers in the presence of insulin sensitivity and for type 2 diabetes was negative DAA titers in the presence of insulin resistance.

resultsProvider diagnosed diabetes type correctly agreed with the etiologic definition of type for 89.9% of cases. Provider diagnosed type 1 diabetes was 96.9% sensitive, 82.8% specific, had a positive predictive value (PPV) of 97.0% and a negative predictive value (NPV) of 82.7%. Provider diagnosed type 2 diabetes was 82.8% sensitive, 96.9% specific, had a PPV and NPV of 82.7% and 97.0%, respectively.

conclusionProvider diagnosis of diabetes type agreed with etiologic criteria for 90% of the cases. While the sensitivity and PPV were high for youth with type 1 diabetes, the lower sensitivity and PPV for type 2 diabetes highlights the value of DAA testing and assessment of insulin sensitivity status to ensure estimates are not biased by misclassification.

Indexed as

AdolescentChildChild, PreschoolDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2HumansInfantUnited StatesYoung Adultdiabetes autoantibodiessurveillancetype 1 diabetestype 2 diabetesvalidity

Identifiers

PMID32981196
PMCPMC7819667
OpenAlexW3089066600

What OpenQuestion holds

Textmetadata
LicenceTDM
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.