Evidence map›Paper›PMID 33074163›Full record

ArticleJMIR research protocols2020

The Diabetes Location, Environmental Attributes, and Disparities Network: Protocol for Nested Case Control and Cohort Studies, Rationale, and Baseline Characteristics.

Annemarie G Hirsch, April P Carson, Nora L Lee, Tara McAlexander, Carla Mercado, Karen Siegel, Nyesha C Black, Brian Elbel, D Leann Long, Priscilla Lopez and 4 more

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.4field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 26 citations in OpenAlex.

  1. Assessing Measurement Invariance in Neighborhood Socioeconomic Environment Across Levels of Urbanicity.Journal of urban health : bulletin of the New York Academy of Medicine · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Comparing Global and Spatial Composite Measures of Neighborhood Socioeconomic Status Across US Counties.Journal of urban health : bulletin of the New York Academy of Medicine · 2022
    Article
  16. Article
  17. Article
  18. Article
  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

14 authors at 7 institutions in 1 country.

Annemarie G HirschDepartment of Population Health Sciences, Geisinger, Danville, PA, United States.ORCID https://orcid.org/0000-0001-7699-2171
April P CarsonDepartment of Epidemiology, University of Alabama at Birmingham School of Public Health, Birmingham, AL, United States.ORCID https://orcid.org/0000-0002-7970-6756
Nora L LeeDepartment of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0002-1769-9706
Tara McAlexanderDepartment of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0002-1343-3177
Carla MercadoCenters for Disease Control and Prevention, Atlanta, PA, United States.ORCID https://orcid.org/0000-0002-0490-9532
Karen SiegelCenters for Disease Control and Prevention, Atlanta, PA, United States.ORCID https://orcid.org/0000-0002-6967-9088
Nyesha C BlackNoire Analytics, LLC, Birmingham, AL, United States.ORCID https://orcid.org/0000-0002-7213-3510
Brian ElbelDepartment of Population Health, NYU Langone Health, New York, NY, United States.ORCID https://orcid.org/0000-0003-1615-9430
D Leann LongDepartment of Biostatistics, University of Alabama at Birmingham School of Public Health, Birmingham, AL, United States.ORCID https://orcid.org/0000-0001-8614-7190
Priscilla LopezDepartment of Population Health, NYU Langone Health, New York, NY, United States.ORCID https://orcid.org/0000-0001-7431-7914
Leslie A McClureDepartment of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, PA, United States.ORCID https://orcid.org/0000-0002-2465-6739
Melissa N PoulsenDepartment of Population Health Sciences, Geisinger, Danville, PA, United States.ORCID https://orcid.org/0000-0002-5915-371X
Brian S SchwartzDepartment of Population Health Sciences, Geisinger, Danville, PA, United States.ORCID https://orcid.org/0000-0002-0739-9865
Lorna E ThorpeDepartment of Population Health, NYU Langone Health, New York, NY, United States.ORCID https://orcid.org/0000-0002-5535-2674
Drexel University · USNYU Langone Health · USCenters for Disease Control and Prevention · USGeisinger Health System · USUniversity of Alabama at Birmingham · USEP Analytics (United States) · USJohns Hopkins University · US

Funding

VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Kirk Michael Habegger · 2013 to 2026
$19.5M
Component A: Impact of Community Factors on Geographic Disparities in Diabetes and Obesity NationwideU01DP006299 · DP · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI THORPE, LORNA · 2017 to 2021
$4.1M
Component A: A multi-level study of community context and type 2 diabetes and coronary heart disease using electronic health record and new primary data across nested geographies in PennsylvaniaU01DP006296 · DP · GEISINGER CLINIC · PI HIRSCH, ANNEMARIE GREGORY · 2017 to 2021
$3.8M
Prioritizing county-level social determinants that contribute to the greater burden of diabetes and hypertension in the USU01DP006302 · DP · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CARSON, APRIL P · 2017 to 2021
$3.6M
Component B: Coordinating Center for Community Characteristics Associated with Geographic Disparities in DiabetesU01DP006293 · DP · DREXEL UNIVERSITY · PI MCCLURE, LESLIE AIN · 2017 to 2021
$3.1M
NCCDPHP CDC HHS U01 DP006293NCCDPHP CDC HHS U01 DP006296NCCDPHP CDC HHS U01 DP006299NCCDPHP CDC HHS U01 DP006302NIDDK NIH HHS P30 DK079626NINDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

backgroundDiabetes prevalence and incidence vary by neighborhood socioeconomic environment (NSEE) and geographic region in the United States. Identifying modifiable community factors driving type 2 diabetes disparities is essential to inform policy interventions that reduce the risk of type 2 diabetes.

objectiveThis paper aims to describe the Diabetes Location, Environmental Attributes, and Disparities (LEAD) Network, a group funded by the Centers for Disease Control and Prevention to apply harmonized epidemiologic approaches across unique and geographically expansive data to identify community factors that contribute to type 2 diabetes risk.

methodsThe Diabetes LEAD Network is a collaboration of 3 study sites and a data coordinating center (Drexel University). The Geisinger and Johns Hopkins University study population includes 578,485 individuals receiving primary care at Geisinger, a health system serving a population representative of 37 counties in Pennsylvania. The New York University School of Medicine study population is a baseline cohort of 6,082,146 veterans who do not have diabetes and are receiving primary care through Veterans Affairs from every US county. The University of Alabama at Birmingham study population includes 11,199 participants who did not have diabetes at baseline from the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, a cohort study with oversampling of participants from the Stroke Belt region.

resultsThe Network has established a shared set of aims: evaluate mediation of the association of the NSEE with type 2 diabetes onset, evaluate effect modification of the association of NSEE with type 2 diabetes onset, assess the differential item functioning of community measures by geographic region and community type, and evaluate the impact of the spatial scale used to measure community factors. The Network has developed standardized approaches for measurement.

conclusionsThe Network will provide insight into the community factors driving geographical disparities in type 2 diabetes risk and disseminate findings to stakeholders, providing guidance on policies to ameliorate geographic disparities in type 2 diabetes in the United States. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/21377.

Indexed as

built environmentdisparitiessocial environmenttype 2 diabetes

Identifiers

PMID33074163
PMCPMC7605983
OpenAlexW3084346572

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.