Evidence map›Paper›PMID 38761085›Full record

ArticleJournal of the American Heart Association2024

Assessing Glycosylated Hemoglobin Thresholds for Development of Cardiovascular Disease by Racial and Ethnic Groups.

Christopher G Low, Maqdooda Merchant, Yun-Yi Hung, Yu Hsin Liu, Joseph Vu, Seema Pursnani

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 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
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

6 authors.

Christopher G LowKaiser Permanente Medical Center Santa Clara CA.ORCID 0009-0004-4009-2170
Maqdooda MerchantKaiser Permanente Division of Research Oakland CA.ORCID 0000-0003-3558-4715
Yun-Yi HungKaiser Permanente Division of Research Oakland CA.
Yu Hsin LiuKaiser Permanente Medical Center Santa Clara CA.
Joseph VuKaiser Permanente Medical Center Santa Clara CA.
Seema PursnaniKaiser Permanente Medical Center Santa Clara CA.ORCID 0000-0003-0212-4691

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetes is the strongest risk factor for cardiovascular disease, and although glycosylated hemoglobin (HbA1c) levels are known to vary by race, no racial and ethnic-specific diagnostic thresholds exist for diabetes in prediction of cardiovascular disease events. The purpose of this study is to determine whether HbA1c thresholds for predicting major adverse cardiovascular events (MACEs) differ among racial and ethnic groups. METHODS AND

resultsThis is a retrospective cohort study of Kaiser Permanente Northern California adult members (n=309 636) with no history of cardiovascular disease who had HbA1c values and race and ethnicity data available between 2014 and 2019. Multivariable logistic regression was used to evaluate the odds of MACEs by the following racial and ethnic groups: Filipino, South Asian, East Asian, Black, White, and Hispanic. A Youden index was used to calculate HbA1c thresholds for MACE prediction by each racial and ethnic group, stratified by sex. Among studied racial and ethnic groups, South Asian race was associated with the greatest odds of MACEs (1.641 [95% CI, 1.456-1.843];

conclusionsFindings suggest that the use of race and ethnic- and sex-specific HbA1c thresholds may need to be considered in treatment goals and cardiovascular disease risk estimation.

Indexed as

Cardiovascular DiseasesGlycated HemoglobinAdultAgedAsianBiomarkersBlack or African AmericanCaliforniaDiabetes MellitusEast Asian PeopleEthnicityFemaleHispanic or LatinoHumansMaleMiddle AgedBiomarkersGlycated Hemoglobinhemoglobin A1c protein, humancardiovascular epidemiologydiabetesrace and ethnicity

Identifiers

PMID38761085
PMCPMC11179793

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LicenceCC BY-NC-ND
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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.