Evidence map›Paper›PMID 32196874›Full record

ArticlePediatric diabetes2021

Comparison of the incidence of diabetes in United States and Indian youth: An international harmonization of youth diabetes registries.

Elizabeth T Jensen, Dana A Dabelea, Pradeep A Praveen, Anandakumar Amutha, Christine W Hockett, Scott P Isom, Toan C Ong, Viswanathan Mohan, Ralph D'Agostino, Michael G Kahn and 9 more

Abstract readComparative Study
In one paragraph

Article in Pediatric diabetes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. ICMR-MDRF Diabetes Biosamples: Cohort profile.The Indian journal of medical research · 2024
    Article
  2. Observational
  3. Review
  4. Article
  5. Review
  6. Article
  7. Diabetic ketoacidosis.Nature reviews. Disease primers · 2020
    Review
  8. Review
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

19 authors.

Elizabeth T JensenDepartment of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Dana A DabeleaDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, CO, USA.ORCID 0000-0001-9514-8929
Pradeep A PraveenDepartment of Endocrinology, Metabolism and Diabetes, All India Institute of Medical Sciences, New Delhi, India.
Anandakumar AmuthaDr. Mohan's Diabetes Specialties Centre and Madras Diabetes Research Foundation, Chennai, India.
Christine W HockettDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, CO, USA.ORCID 0000-0002-1665-6763
Scott P IsomDepartment of Biostatistics and Data Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Toan C OngDepartment of Pediatrics, University of Colorado, Aurora, CO, USA.
Viswanathan MohanDr. Mohan's Diabetes Specialties Centre and Madras Diabetes Research Foundation, Chennai, India.ORCID 0000-0001-7939-6295
Ralph D'AgostinoDepartment of Biostatistics and Data Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Michael G KahnDepartment of Pediatrics, University of Colorado, Aurora, CO, USA.
Richard F HammanDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, CO, USA.
Paul WadwaDepartment of Pediatrics, University of Colorado, Aurora, CO, USA.
Lawrence DolanDepartment of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Jean M LawrenceDepartment of Research & Evaluation, Kaiser Permanente Southern California, Pasadena, CA, USA.
S V MadhuDepartment of Endocrinology, Centre for Diabetes, Endocrinology and Metabolism, University College of Medical Science, GTB Hospital, Delhi, India.
Reshmi ChhokarDepartment of Endocrinology, Metabolism and Diabetes, All India Institute of Medical Sciences, New Delhi, India.
Komal GoelDepartment of Endocrinology, Metabolism and Diabetes, All India Institute of Medical Sciences, New Delhi, India.
Nikhil TandonDepartment of Endocrinology, Metabolism and Diabetes, All India Institute of Medical Sciences, New Delhi, India.ORCID 0000-0003-4604-1986
Elizabeth Mayer-DavisDepartment of Nutrition and Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0003-3858-0517

Funding

Institute of Translational Health SciencesUL1TR000423 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$49.4M
LCenter for Clinical and Translational Science and TrainingUL1TR001425 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E., KISSELA, BRETT M · 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. · 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
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
SEARCH for Diabetes in Youth 2: South Carolina CenterU01DP000254 · DP · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MAYER-DAVIS, ELIZABETH J · 2005 to 2009
$3.5M
SEARCH for Diabetes in Youth 3: Washington Site, Part BU18DP002710 · DP · SEATTLE CHILDREN'S HOSPITAL · PI PIHOKER, CATHERINE · 2010 to 2014
$3.2M
ACL HHS U18DP006131ACL HHS U18DP006133ACL HHS U18DP006134ACL HHS U18DP006136ACL HHS U18DP006138ACL HHS U18DP006139CDC HHSNCATS NIH HHS UL1 TR000062NCATS NIH HHS UL1 TR000077NCATS NIH HHS UL1 TR000154NCATS NIH HHS UL1 TR000423NCATS NIH HHS UL1 TR001425NCCDPHP CDC HHS U01 DP000244NCCDPHP CDC HHS U01 DP000246NCCDPHP CDC HHS U01 DP000247NCCDPHP CDC HHS U01 DP000248NCCDPHP CDC HHS U01 DP000250NCCDPHP CDC HHS U01 DP000254NCCDPHP CDC HHS U18 DP002708NCCDPHP CDC HHS U18 DP002709NCCDPHP CDC HHS U18 DP002710NCCDPHP CDC HHS U18 DP002714NCCDPHP CDC HHS U18 DP006138NIDDK NIH HHS P30 DK057516NIDDK NIH HHS R01 DK127208NIDDK NIH HHS R21 DK105869NIDDK NIH HHS R21DK105869-02NIDDK NIH HHS UC4 DK108173
6 · The paper itself

Abstract

objectiveIncidence of youth-onset diabetes in India has not been well described. Comparison of incidence, across diabetes registries, has the potential to inform hypotheses for risk factors. We sought to compare the incidence of diabetes in the U.S.-based registry of youth onset diabetes (SEARCH) to the Registry of Diabetes with Young Age at Onset (YDR-Chennai and New Delhi regions) in India.

methodsWe harmonized data from both SEARCH and YDR to the Observational Medical Outcomes Partnership (OMOP) Common Data Model. Data were from youth registered with incident diabetes (2006-2012). Denominators were from census and membership data. We calculated diabetes incidence by averaging the total cases across the entire follow-up period and dividing this by the estimated census population corresponding to the source population for case ascertainment. Incidence was calculated for each of the registries and compared by type and within age and sex categories using a 2-sided, skew-corrected inverted score test.

resultsIncidence of type 1 was higher in SEARCH (21.2 cases/100 000 [95% CI: 19.9, 22.5]) than YDR (4.9 cases/100 000 [95% CI: 4.3, 5.6]). Incidence of type 2 diabetes was also higher in SEARCH (5.9 cases/100 000 [95% CI: 5.3, 6.6] in SEARCH vs 0.5/cases/100 000 [95% CI: 0.3, 0.7] in YDR). The age distribution of incident type 1 diabetes cases was similar across registries, whereas type 2 diabetes incidence was higher at an earlier age in SEARCH. Sex differences existed in SEARCH only, with a higher rate of type 2 diabetes among females.

conclusionThe incidence of youth-onset type 1 and 2 diabetes was significantly different between registries. Additional data are needed to elucidate whether the differences observed represent diagnostic delay, differences in genetic susceptibility, or differences in distribution of risk factors.

Indexed as

AdolescentChildChild, PreschoolDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2FemaleHumansIncidenceIndiaInfantInfant, NewbornMaleRegistriesUnited StatesYoung Adultdescriptive epidemiology of diabetesdiabetes in youth; incidenceIndiaUnited States

Identifiers

PMID32196874
PMCPMC7748376

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.