Evidence map›Paper›PMID 38626094›Full record

ArticlePloS one2024

Assessing ascertainment bias in atrial fibrillation across US minority groups.

Lars Hulstaert, Amelia Boehme, Kaitlin Hood, Jennifer Hayden, Clark Jackson, Astra Toyip, Hans Verstraete, Yu Mao, Khaled Sarsour

Open access · goldAbstract read
In one paragraph

Article in PloS one, 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
–field-weighted citation impact, top 90% 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, 0 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

9 authors at 4 institutions in 3 countries.

Lars HulstaertR&D Data Science & Digital Health, Janssen-Cilag GmbH, Neuss, North Rhine-Westphalia, Germany.ORCID 0009-0006-8667-7881
Amelia BoehmeAetion Inc, New York, New York, United States of America.
Kaitlin HoodR&D Data Science & Digital Health, Janssen Pharmaceuticals, Titusville, New Jersey, United States of America.
Jennifer HaydenR&D Data Science & Digital Health, Janssen Pharmaceuticals, Titusville, New Jersey, United States of America.
Clark JacksonAetion Inc, New York, New York, United States of America.
Astra ToyipAetion Inc, New York, New York, United States of America.
Hans VerstraeteR&D Data Science & Digital Health, Janssen Pharmaceutica NV, Beerse, Antwerp, Belgium.
Yu MaoR&D Data Science & Digital Health, Janssen Pharmaceuticals, Titusville, New Jersey, United States of America.
Khaled SarsourR&D Data Science & Digital Health, Janssen Pharmaceuticals, Titusville, New Jersey, United States of America.
Janssen (United States) · USAetion (United States) · USJanssen (Belgium) · BEJanssen (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study is to define atrial fibrillation (AF) prevalence and incidence rates across minority groups in the United States (US), to aid in diversity enrollment target setting for randomized controlled trials. In AF, US minority groups have lower clinically detected prevalence compared to the non-Hispanic or Latino White (NHW) population. We assess the impact of ascertainment bias on AF prevalence estimates. We analyzed data from adults in Optum's de-identified Clinformatics® Data Mart Database from 2017-2020 in a cohort study. Presence of AF at baseline was identified from inpatient and/or outpatient encounters claims using validated ICD-10-CM diagnosis algorithms. AF incidence and prevalence rates were determined both in the overall population, as well as in a population with a recent stroke event, where monitoring for AF is assumed. Differences in prevalence across cohorts were assessed to determine if ascertainment bias contributes to the variation in AF prevalence across US minority groups. The period prevalence was respectively 4.9%, 3.2%, 2.1% and 5.9% in the Black or African American, Asian, Hispanic or Latino, and NHW population. In patients with recent ischemic stroke, the proportion with AF was 32.2%, 24.3%, 25%, and 24.5%, respectively. The prevalence of AF among the stroke population was approximately 7 to 10 times higher than the prevalence among the overall population for the Asian and Hispanic or Latino population, compared to approximately 5 times higher for NHW patients. The relative AF prevalence difference of the Asian and Hispanic or Latino population with the NHW population narrowed from respectively, -46% and -65%, to -22% and -24%. The study findings align with previous observational studies, revealing lower incidence and prevalence rates of AF in US minority groups. Prevalence estimates of the adult population, when routine clinical practice is assumed, exhibit higher prevalence differences compared to settings in which monitoring for AF is assumed, particularly among Asian and Hispanic or Latino subgroups.

Indexed as

Atrial FibrillationStrokeAdultAsianBiasBlack or African AmericanCohort StudiesHispanic or LatinoHumansMinority GroupsRandomized Controlled Trials as TopicUnited StatesWhite

Identifiers

PMID38626094
PMCPMC11020362
OpenAlexW4394841331

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.