Evidence map›Paper›PMID 20129809›Full record

ArticleHealth & place2010

Evaluating geographic variation in type 1 and type 2 diabetes mellitus incidence in youth in four US regions.

Angela D Liese, Andrew Lawson, Hae-Ryoung Song, James D Hibbert, Dwayne E Porter, Michele Nichols, Archana P Lamichhane, Dana Dabelea, Elizabeth J Mayer-Davis, Debra Standiford and 3 more

Abstract readMulticenter Study
In one paragraph

Article in Health & place, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing 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.

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

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

  1. Pooled it
  2. Prevalence of chronic comorbidities in people with multiple sclerosis: descriptive study based on administrative data in Tuscany (Central Italy).Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
    Article
  3. Article
  4. Review
  5. Observational
  6. Article
  7. Article
  8. Protein Glycosylation in Diabetes.Advances in experimental medicine and biology · 2021
    Article
  9. Review
  10. Diabetes Technologies: We Are All in This Together.Clinical diabetes : a publication of the American Diabetes Association · 2020
    Article
  11. Article
  12. Article
  13. Article
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  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. The authors reply.American journal of epidemiology · 2014
    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

13 authors.

Angela D LieseDepartment of Epidemiology and Biostatistics and Center for Research in Nutrition and Health Disparities, Arnold School of Public Health, University of South Carolina, 921 Assembly Street, Columbia, SC 29208, USA. liese@sc.edu
Andrew Lawson
Hae-Ryoung Song
James D Hibbert
Dwayne E Porter
Michele Nichols
Archana P Lamichhane
Dana Dabelea
Elizabeth J Mayer-Davis
Debra Standiford
Lenna Liu
Richard F Hamman
Ralph B D'Agostino

Funding

Spatial epidemiology of diabetes in the SEARCH for Diabetes in Youth StudyR01DK077131 · NIDDK · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI LIESE, ANGELA D · 2007 to 2009
$877k
NIDDK NIH HHS R01 DK077131NIDDK NIH HHS R01DK077131
6 · The paper itself

Abstract

We evaluated geographic variation in type 1 and type 2 diabetes mellitus (T1DM, T2DM) in four regions of the United States. Data on 807 incident T1DM cases diabetes and 313 T2DM cases occurring in 2002-03 in South Carolina (SC) and Colorado (CO), 5 counties in Washington (WA), and an 8 county region around Cincinnati, Ohio (OH) among youth aged 10-19 years were obtained from the SEARCH for Diabetes in Youth Study. Geographic patterns were evaluated in a Bayesian framework. Incidence rates differed between the study regions, even within race/ethnic groups. Significant small-area variation within study region was observed for T1DM and T2DM. Evidence for joint spatial correlation between T1DM and T2DM was present at the county level for SC (r(SC)=0.31) and CO non-Hispanic Whites (r(CO)=0.40) and CO Hispanics (r(CO)=0.72). At the tract level, no evidence for meaningful joint spatial correlation was observed (r(SC)=-0.02; r(CO)=-0.02; r(OH)=0.03; and r(WA=)0.09). Our study provides evidence for the presence of both regional and small area, localized variation in type 1 and type 2 incidence among youth aged 10-19 years in the United States.

Indexed as

Residence CharacteristicsTopography, MedicalAdolescentBayes TheoremChildDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2HumansIncidenceRiskSmall-Area AnalysisUnited StatesYoung Adult

Identifiers

PMID20129809
PMCPMC2850285

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.