Evidence map›Paper›PMID 35927604›Full record

ArticleJournal of general internal medicine2023

Racial and Ethnic Differences in Medication Initiation Among Adults Newly Diagnosed with Type 2 Diabetes.

Anjali Gopalan, Aaron N Winn, Andrew J Karter, Neda Laiteerapong

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 49% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 3 institutions in 1 country.

Anjali GopalanKaiser Permanente Northern California Division of Research, 2000 Broadway, Oakland, CA, 94612, USA. Anjali.Gopalan@kp.org.ORCID 0000-0002-9300-1154
Aaron N WinnDepartment of Clinical Sciences, Medical College of Wisconsin, Milwaukee, WI, USA.
Andrew J KarterKaiser Permanente Northern California Division of Research, 2000 Broadway, Oakland, CA, 94612, USA.
Neda LaiteerapongDepartment of Medicine, The University of Chicago, Chicago, IL, USA.
Kaiser Permanente · USMedical College of Wisconsin · USUniversity of Chicago · US

Funding

Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI Ronald T. Ackermann, MARSHALL H CHIN · 2011 to 2026
$10.0M
Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
Optimizing Medical Decision Making for Older Patients with Type 2 DiabetesR01AG063391 · NIA · KAISER FOUNDATION RESEARCH INSTITUTE · PI HUANG, ELBERT S., KARTER, ANDREW JOHN · 2019 to 2023
$3.2M
Predicting and Reducing Future Health Disparities for U.S. Adults with DiabetesR01MD013420 · NIMHD · UNIVERSITY OF CHICAGO · PI LAITEERAPONG, NEDA · 2018 to 2021
$1.6M
The initial care of younger adults with newly diagnosed type 2 diabetesK23DK116968 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI GOPALAN, ANJALI · 2018 to 2022
$1.0M
A pilot trial of an intervention to support initial type 2 diabetes selfmanagement among younger adults with children.R01DK139225 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Anjali Gopalan · 2025 to 2026
$649k
NIA NIH HHS R01 AG063391NIA NIH HHS R01AG063391NIDDK NIH HHS K23 DK116968NIDDK NIH HHS K23DK116968NIDDK NIH HHS P30 DK092924NIDDK NIH HHS P30DK092924NIDDK NIH HHS P30 DK092949NIDDK NIH HHS P30DK092949NIDDK NIH HHS R01 DK139225NIMHD NIH HHS R01 MD013420NIMHD NIH HHS R01MD013420
6 · The paper itself

Abstract

objectiveGiven persistent racial/ethnic differences in type 2 diabetes outcomes and the lasting benefits conferred by early glycemic control, we examined racial/ethnic differences in diabetes medication initiation during the year following diagnosis.

methodsAmong adults newly diagnosed with type 2 diabetes (2005-2016), we examined how glucose-lowering medication initiation differed by race/ethnicity during the year following diagnosis. We specified modified Poisson regression models to estimate the association between race/ethnicity and medication initiation in the entire cohort and within subpopulations defined by HbA1c, BMI, age at diagnosis, comorbidity, and neighborhood deprivation index (a census tract-level socioeconomic indicator).

resultsAmong the 77,199 newly diagnosed individuals, 47% started a diabetes medication within 12 months of diagnosis. The prevalence of medication initiation ranged from 32% among Chinese individuals to 58% among individuals of Other/Unknown races/ethnicities. Compared to White individuals, medication initiation was less likely among Chinese (relative risk: 0.78 (95% confidence interval 0.72, 0.84)) and Japanese (0.82 (0.75, 0.90)) individuals, but was more likely among Hispanic/Latinx (1.27 (1.24, 1.30)), African American (1.14 (1.11, 1.17)), other Asian (1.13 (1.08, 1.18)), South Asian (1.10 (1.04, 1.17)), Other/Unknown (1.31 (1.24, 1.39)), American Indian or Alaska Native (1.11 (1.04, 1.18)), and Native Hawaiian/Pacific Islander (1.28 (1.19, 1.37)) individuals. Racial/ethnic differences dissipated among individuals with higher HbA1c values.

conclusionsInitiation of glucose-lowering treatment during the year following type 2 diabetes diagnosis differed markedly by race/ethnicity, particularly for those with lower HbA1c values. Future research should examine how patient preferences, provider implicit bias, and shared decision-making contribute to these early treatment differences.

Indexed as

Diabetes Mellitus, Type 2Healthcare DisparitiesAdultEthnicityGlucoseGlycated HemoglobinHumansRacial GroupsGlucoseGlycated Hemoglobin

Identifiers

PMID35927604
PMCPMC10039131
OpenAlexW4289835718

What OpenQuestion holds

Textmetadata
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.