Evidence map›Paper›PMID 41024381›Full record

ArticleBehavioral medicine (Washington, D.C.)

Medical Mistrust and SARS-CoV-2 Antibody Testing Among African Americans and White Americans.

Olivia Aspiras, Todd Lucas, Ahnalee M Brincks, Anurag Dawadi, Leah Maschino, Lindsey Rose, Monicia Summers, Kent Key

Abstract read
In one paragraph

Article in Behavioral medicine (Washington, D.C.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Olivia AspirasCharles Stewart Mott Department of Public Health, College of Human Medicine, Michigan State University, Flint, Michigan, USA.
Todd LucasCharles Stewart Mott Department of Public Health, College of Human Medicine, Michigan State University, Flint, Michigan, USA.
Ahnalee M BrincksDepartment of Human Development and Family Studies, College of Social Science, Michigan State University, East Lansing, Michigan, USA.
Anurag DawadiCharles Stewart Mott Department of Public Health, College of Human Medicine, Michigan State University, Flint, Michigan, USA.
Leah MaschinoCharles Stewart Mott Department of Public Health, College of Human Medicine, Michigan State University, Flint, Michigan, USA.
Lindsey RoseCharles Stewart Mott Department of Public Health, College of Human Medicine, Michigan State University, Flint, Michigan, USA.
Monicia SummersCharles Stewart Mott Department of Public Health, College of Human Medicine, Michigan State University, Flint, Michigan, USA.
Kent KeyCharles Stewart Mott Department of Public Health, College of Human Medicine, Michigan State University, Flint, Michigan, USA.

Funding

Supplement to U01CA260469U01CA260469 · NCI · MICHIGAN STATE UNIVERSITY · PI LUCAS, TODD WILLIAM · 2020 to 2024
$3.2M
NCI NIH HHS U01 CA260469
6 · The paper itself

Abstract

Recent research suggests that in addition to structural barriers (e.g., access), psychosocial factors like medical mistrust can influence uptake of COVID-19 tools and treatments. However, less is known about racial differences in how medical mistrust affects SARS-CoV-2 antibody testing. We evaluated whether medical mistrust alters receptivity to SARS-CoV-2 antibody testing, and whether this influence differs across race. African American (

Indexed as

Black or African AmericanCOVID-19Health Knowledge, Attitudes, PracticePatient Acceptance of Health CareTrustWhite PeopleAdultCOVID-19 TestingFemaleHumansMaleMiddle AgedSARS-CoV-2WhiteYoung AdultCovid-19health disparitiesmedical mistrustserosurveillance

Identifiers

PMID41024381
PMCPMC12580984

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.