Evidence map›Paper›PMID 25852205›Full record

ArticleDiabetes care2015

Prevalence of and Racial Disparities in Risk Factor Control in Older Adults With Diabetes: The Atherosclerosis Risk in Communities Study.

Christina M Parrinello, Ina Rastegar, Job G Godino, Michael D Miedema, Kunihiro Matsushita, Elizabeth Selvin

Abstract readMulticenter Study
In one paragraph

Article in Diabetes care, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Trial
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  10. Emergency Department Use in Black Individuals With Diabetes.Diabetes spectrum : a publication of the American Diabetes Association · 2023
    Article
  11. Review
  12. Article
  13. Bridging the Racial Disparity Gap in Lipid-Lowering Therapy.Journal of the American Heart Association · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Observational
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  20. 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

6 authors.

Christina M ParrinelloDepartment of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Ina RastegarDepartment of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD Baltimore Polytechnic Institute, Baltimore, MD.
Job G GodinoDepartment of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD Department of Epidemiology and the Center on Aging and Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Michael D MiedemaMinneapolis Heart Institute and Minneapolis Heart Institute Foundation, Minneapolis, MN.
Kunihiro MatsushitaDepartment of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.
Elizabeth SelvinDepartment of Epidemiology and the Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD Division of General Internal Medicine, Department of Medicine, Johns Hopkins University, Baltimore, MD eselvin@jhu.edu.

Funding

CARDIOVASCULAR EPIDEMIOLOGY INSTITUTIONAL TRAININGT32HL007024 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Elizabeth Selvin · 1985 to 2026
$17.5M
EPIDEMIOLOGY AND BIOSTATISTICS OF AGINGT32AG000247 · NIA · JOHNS HOPKINS UNIVERSITY · PI Karen J. Bandeen-Roche · 1996 to 2026
$13.2M
Diabetes and Prediabetes in Older Adults in ARICR01DK089174 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI SELVIN, ELIZABETH · 2011 to 2020
$6.4M
NHLBI NIH HHS HHSN268201100005CNHLBI NIH HHS HHSN268201100005GNHLBI NIH HHS HHSN268201100005INHLBI NIH HHS HHSN268201100006CNHLBI NIH HHS HHSN268201100007CNHLBI NIH HHS HHSN268201100007INHLBI NIH HHS HHSN268201100008CNHLBI NIH HHS HHSN268201100008INHLBI NIH HHS HHSN268201100009CNHLBI NIH HHS HHSN268201100009INHLBI NIH HHS HHSN268201100010CNHLBI NIH HHS HHSN268201100011CNHLBI NIH HHS HHSN268201100011INHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS T32 HL007024NHLBI NIH HHS T32-HL-007024NIA NIH HHS T32 AG000247NIA NIH HHS T32-AG-000247NIDDK NIH HHS R01 DK089174NIDDK NIH HHS R01-DK-089174PHS HHS HHSN268201100005CPHS HHS HHSN268201100006CPHS HHS HHSN268201100007CPHS HHS HHSN268201100008CPHS HHS HHSN268201100009CPHS HHS HHSN268201100010CPHS HHS HHSN268201100011CPHS HHS HHSN268201100012C
6 · The paper itself

Abstract

objectiveControversy surrounds appropriate risk factor targets in older adults with diabetes. We evaluated the proportion of older adults with diabetes meeting different targets, focusing on possible differences by race, and assessed whether demographic and clinical characteristics explained disparities. RESEARCH DESIGN AND

methodsWe conducted a cross-sectional study of 5,018 participants aged 67-90 years (1,574 with and 3,444 without diagnosed diabetes) who attended visit 5 of the Atherosclerosis Risk in Communities (ARIC) study (2011-2013). Risk factor targets were defined using both stringent (and less stringent) goals: hemoglobin A1c (HbA1c) <7%, <53 mmol/mol (<8%, <64 mmol/mol); LDL cholesterol (LDL-c) <100 mg/dL (<130 mg/dL); and blood pressure (BP) <140/90 mmHg (<150/90 mmHg). We used Poisson regression to obtain prevalence ratios (PRs).

resultsMost older adults with diabetes met stringent (and less stringent) targets: 72% (90%) for HbA1c, 63% (86%) for LDL-c, and 73% (87%) for BP; but only 35% (68%) met all three. A higher proportion of whites than blacks met targets, however defined. Among people treated for risk factors, racial disparities in prevalence of meeting stringent targets persisted even after adjustment: PRs (whites vs. blacks) were 1.03 (95% CI 0.91, 1.17) for HbA1c, 1.21 (1.09, 1.35) for LDL-c, 1.10 (1.00, 1.21) for BP, and 1.28 (0.99, 1.66) for all three. Results were similar but slightly attenuated using less stringent goals. Black women were less likely than white women to meet targets for BP and all three risk factors; this disparity was not observed in men.

conclusionsBlack-white disparities in risk factor control in older adults with diabetes were not fully explained by demographic or clinical characteristics and were greater in women than men. Further study of determinants of these disparities is important.

Indexed as

AgedAged, 80 and overAtherosclerosisBlack or African AmericanBlood PressureCholesterol, LDLDiabetic AngiopathiesEpidemiologic MethodsFemaleGlycated HemoglobinHumansMaleUnited StatesWhite PeopleCholesterol, LDLGlycated Hemoglobin

Identifiers

PMID25852205
PMCPMC4477331

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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.