Evidence map›Paper›PMID 40008548›Full record

ArticleJournal of the American Heart Association2025

Evaluating the Reliability and Robustness of Racial and Ethnic Health Disparities in Cardiometabolic Disease in NHANES, NHIS, and BRFSS (2015-2021).

Zeel Thakkar, Yan Wu, Mohammed Khan, Xinran Qi, George A Hung, Nicholas Kikuta, Armaan Jamal, Malathi Srinivasan, Robert J Huang, Karina Kim and 3 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2025. 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
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.

  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

13 authors.

Zeel ThakkarStanford Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA.ORCID 0009-0003-6097-5512
Yan WuStanford Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA.
Mohammed KhanStanford Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA.
Xinran QiStanford Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA.ORCID 0000-0002-1348-5444
George A HungStanford Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA.ORCID 0000-0003-1080-8102
Nicholas KikutaStanford Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA.
Armaan JamalStanford Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA.
Malathi SrinivasanStanford Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA.ORCID 0000-0001-9951-0016
Robert J HuangStanford Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA.
Karina KimStanford Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA.ORCID 0009-0000-1149-7663
Gloria KimStanford Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA.ORCID 0000-0002-9082-0082
Latha PalaniappanStanford Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA.ORCID 0000-0002-1245-665X
Adrian M BacongStanford Center for Asian Health Research and Education Stanford University School of Medicine Stanford CA.ORCID 0000-0003-0157-4754

Funding

Diabetes, Endocrinology and Metabolism Training GrantT32DK007217 · NIDDK · STANFORD UNIVERSITY · PI Justin Pierce Annes, David Matthew Maahs · 1987 to 2026
$7.2M
NIDDK NIH HHS T32 DK007217
6 · The paper itself

Abstract

backgroundThe United States uses the National Health Interview Survey (NHIS), Behavioral Risk Factor Surveillance System (BRFSS), and National Health and Nutrition Examination Survey to monitor disease trends and inform clinical care/prevention research. These 3 surveys share similar national estimates. However, the consistency of each survey's estimates by race has not been examined. Here, we compare prevalence estimates and disparities in cardiometabolic diseases across 5 aggregated racial and ethnic groups.

methodsWe examined the age- and fully-adjusted prevalence of cardiovascular disease and diabetes among non-Hispanic White, non-Hispanic Black, Hispanic, non-Hispanic Asian, and "Other" race respondents aged 30 years or older. Cardiovascular disease included self-reported physician diagnosis of heart attack, stroke, and coronary heart disease.

resultsAlthough overall national population estimates were similar, there was heterogeneity in estimates by survey. For heart attack and diabetes, each racial group had a higher prevalence in BRFSS than NHIS (eg, Heart Attack: Hispanic BRFSS: 3.4% [95% CI, 3.2-3.6], NHIS: 2.0% [95% CI, 1.8, 2.2]; non-Hispanic Black BRFSS: 3.8% [95% CI, 3.6, 3.9]; NHIS: 3.0% [95% CI, 2.7, 3.2]). Non-Hispanic Asian people had the lowest general cardiovascular disease prevalence across all 3 data sets (NHIS: 5.9%, National Health and Nutrition Examination Survey: 5.3%, BRFSS: 6.9%), while Other/multi-racial respondents had the highest prevalence (NHIS: 9.9%, National Health and Nutrition Examination Survey: 13.1%, BRFSS: 10.7%). However, the magnitude of these differences across data sets was small.

conclusionsPrevalence estimates for heart attack and diabetes were heterogeneous by race across surveys. These results highlight the importance of improving the representation of racially minoritized groups within national surveys to produce more precise estimates.

Indexed as

Behavioral Risk Factor Surveillance SystemCardiovascular DiseasesDiabetes MellitusEthnicityHealth Status DisparitiesNutrition SurveysRacial GroupsAdultAgedFemaleHumansMaleMiddle AgedPrevalenceReproducibility of ResultsUnited StatesBehavioral Risk Factor Surveillance Systemcardiometabolic diseasecardiovascular diseasemyocardial infarction/heart attackNational Health and Nutrition Examination SurveyNational Health Interview Surveystroke

Identifiers

PMID40008548
PMCPMC12132784

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.