Evidence map›Paper›PMID 36251173›Full record

ArticleDiabetes, obesity & metabolism2023

Changes in racial and ethnic disparities in glucose-lowering drug utilization and glycated haemoglobin A1c in US adults with diabetes: 2005-2018.

Piaopiao Li, Ping Zhang, Dawei Guan, Jingchuan Guo, Yongkang Zhang, Meda E Pavkov, Kai McKeever Bullard, Hui Shao

Abstract read
In one paragraph

Article in Diabetes, obesity & metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

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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

8 authors.

Piaopiao LiDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
Ping ZhangDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Dawei GuanDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.
Jingchuan GuoDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.ORCID 0000-0001-9799-2592
Yongkang ZhangDepartment of Population Health Sciences, Weill Cornell Medical College, New York, New York, USA.
Meda E PavkovDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Kai McKeever BullardDivision of Diabetes Translation, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Hui ShaoDepartment of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, Florida, USA.ORCID 0000-0002-4088-546X

Funding

Supplement of NIDDK R01 newer GLDs and Clinical OutcomesR01DK133465 · NIDDK · UNIVERSITY OF FLORIDA · PI GUO, JINGCHUAN, SHAO, HUI · 2022 to 2025
$2.8M
NIDDK NIH HHS R01 DK133465
6 · The paper itself

Abstract

aimTo examine changes in racial and ethnic disparities in glucose-lowering drugs (GLD) use and glycated haemoglobin A1c in US adults with diabetes from 2005 to 2018.

methodsWe conducted pooled cross-sectional analysis using data from the 2005-2018 Medical Expenditure Panel Surveys, and the 2005-2018 National Health and Nutrition Examination Survey. Individuals ≥18 years with diabetes were included. Racial and ethnic disparities were measured in (a) newer non-insulin GLD use; (b) insulin analogue use; (c) non-insulin GLDs adherence; (d) insulin adherence; and (e) glucose management, along with (f) the proportion of the disparities explained by potential contributing factors.

resultsFrom 2005 to 2018, racial and ethnic disparities persisted in newer GLD use, non-insulin GLDs adherence, insulin analogue use and glucose management. In 2018, compared with non-Hispanic white adults, non-Hispanic black, Hispanic and other race/ethnicity groups had lower rates of using newer GLDs (adjusted risk ratio: 0.44, 0.52, 0.64, respectively; p < .05 for all) and insulin analogues (adjusted risk ratio: 0.93, 0.89, 0.95, respectively; p < .05 for all except other groups), lower non-insulin GLD adherence (proportion of days covered: -4.5%, -5.6%, -4.3%, respectively; p < .05 for all), higher glycated haemoglobin A1c (0.29%, 0.32%, 0.02%, respectively; p < .05 for all except other group), and similar insulin adherences. Socioeconomic and health status were the main contributors to these disparities.

conclusionsOur findings provide evidence of racial and ethnic disparities in newer GLD use and quality of care in glucose management. Our study results can inform decision-makers of the status of racial and ethnic disparities and identify ways to reduce these disparities.

Indexed as

Diabetes MellitusGlucoseAdultBlack or African AmericanCross-Sectional StudiesGlycated HemoglobinHispanic or LatinoHumansNutrition SurveysSocioeconomic FactorsUnited StatesWhiteGlucoseGlycated Hemoglobinantidiabetic drugGLP-1 analogueglycaemic controlinsulin analoguesreal-world evidenceSGLT2 inhibitor

Identifiers

PMID36251173
PMCPMC9812896

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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.