Evidence map›Paper›PMID 38590324›Full record

ArticleLancet regional health. Americas2024

COVID-19 infection and incident diabetes in American Indian and Alaska Native people: a retrospective cohort study.

James W Keck, Mary E Lacy, Sara Bressler, Ian Blake, Uzo Chukwuma, Michael G Bruce

Open access · goldAbstract read
In one paragraph

Article in Lancet regional health. Americas, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

6 authors at 4 institutions in 1 country.

James W KeckResearch Services Department, Alaska Native Tribal Health Consortium, and Centers for Disease Control and Prevention Guest Researcher, Anchorage, AK, USA.
Mary E LacyDepartment of Epidemiology and Environmental Health, College of Public Health, University of Kentucky, Lexington, KY, USA.
Sara BresslerArctic Investigations Program, National Center for Emerging Zoonotic and Infectious Diseases, Centers for Disease Control and Prevention, Anchorage, AK, USA.
Ian BlakeArctic Investigations Program, National Center for Emerging Zoonotic and Infectious Diseases, Centers for Disease Control and Prevention, Anchorage, AK, USA.
Uzo ChukwumaOffice of Public Health Support, Division of Epidemiology and Disease Prevention, Indian Health Service, Rockville, MD, USA.
Michael G BruceArctic Investigations Program, National Center for Emerging Zoonotic and Infectious Diseases, Centers for Disease Control and Prevention, Anchorage, AK, USA.
Centers for Disease Control and Prevention · USAlaska Native Tribal Health Consortium · USIndian Health Service · USUniversity of Kentucky · US

Funding

Using Practice Facilitation and Operationalizing Referral Information Technology (UP FOR IT) to Increase DSMES UtilizationR34DK132548 · NIDDK · UNIVERSITY OF KENTUCKY · PI LACY, MARY E. · 2022 to 2024
$1.1M
NIDDK NIH HHS R34 DK132548
6 · The paper itself

Abstract

Background: Evidence suggests an increased risk of new-onset diabetes following COVID-19 infection. American Indian/Alaska Native (AI/AN) people were disparately impacted by the COVID-19 pandemic and historically have had higher diabetes incidence than other racial/ethnic groups in the US. We measured the association between COVID-19 infection and incident diabetes in AI/AN people. Methods: We conducted a retrospective cohort study using de-identified patient data from the Indian Health Service's (IHS) National Patient Information Reporting System. We estimated age-adjusted diabetes incidence rates, incidence rate ratios, and adjusted hazard ratios among three cohorts spanning pre-pandemic (1/1/2018-2/28/2020) and pandemic (3/1/2020-12/31/2021) timeframes: 1) pre-pandemic cohort (1,503,085 individuals); 2) no-COVID-19 pandemic cohort (1,344,339 individuals); and 3) COVID-19 cohort (176,483 individuals). Findings: The COVID-19 cohort had an increased hazard of diabetes compared to the no-COVID-19 group (adjusted hazard ratio (aHR) = 1.56; 95% CI: 1.50-1.62) and the pre-pandemic group (aHR = 1.27; 95% CI: 1.22-1.32). The association between COVID-19 infection and new-onset diabetes was stronger in those with severe COVID-19 illness. A sensitivity analysis comparing the COVID-19 cohort to members of other cohorts that had acute upper respiratory infections showed an attenuated but higher risk of new-onset diabetes in those with COVID-19. Interpretation: AI/AN people diagnosed with COVID-19 had an elevated risk of a new diabetes diagnosis when compared to the no-COVID-19 group and the pre-pandemic group. The increased diabetes risk in the COVID-19 group remained in a sensitivity analysis that limited the comparator groups to individuals with an AURI diagnosis. Funding: US National Institute of Diabetes and Digestive and Kidney Diseases.

Indexed as

Covid-19Incident diabetesIndigenous populationsRisk factor

Identifiers

PMID38590324
PMCPMC11000165
OpenAlexW4393869251

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.