Evidence map›Paper›PMID 36565184›Full record

ArticleJournal of the American Heart Association2023

Association of Cardiovascular Health Score With Early- and Later-Onset Diabetes and With Subsequent Vascular Complications of Diabetes.

Yuni Choi, David R Jacobs, Michael Patrick Bancks, Cora E Lewis, EunSeok Cha, Fengxia Yan, Mercedes R Carnethon, Pamela J Schreiner, Daniel A Duprez

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 13% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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 6 institutions in 2 countries.

Yuni ChoiDivision of Epidemiology and Community Health, School of Public Health University of Minnesota Minneapolis MN.
David R JacobsDivision of Epidemiology and Community Health, School of Public Health University of Minnesota Minneapolis MN.ORCID 0000-0002-7232-0543
Michael Patrick BancksDepartment of Epidemiology and Prevention Wake Forest School of Medicine Winston-Salem NC.ORCID 0000-0003-3694-6060
Cora E LewisDepartment of Epidemiology University of Alabama at Birmingham Birmingham AL.ORCID 0000-0002-2301-5796
EunSeok ChaCollege of Nursing Chungnam National University Daejeon South Korea.ORCID 0000-0001-6115-567X
Fengxia YanDepartment of Community Health and Preventive Medicine Morehouse School of Medicine Atlanta GA.
Mercedes R CarnethonDepartment of Preventive Medicine, Feinberg School of Medicine Northwestern University Chicago IL.ORCID 0000-0001-7035-0848
Pamela J SchreinerDivision of Epidemiology and Community Health, School of Public Health University of Minnesota Minneapolis MN.ORCID 0000-0002-9920-6257
Daniel A DuprezCardiovascular Division, Department of Medicine University of Minnesota-Twin Cities Minneapolis MN.ORCID 0000-0002-0993-6839
University of Minnesota · USEmory University · USMorehouse School of Medicine · USNorthwestern University · USUniversity of Alabama at Birmingham · USWake Forest University · US

Funding

NHLBI NIH HHS HHSN268201800003INHLBI NIH HHS HHSN268201800004INHLBI NIH HHS HHSN268201800005INHLBI NIH HHS HHSN268201800006INHLBI NIH HHS HHSN268201800007I
6 · The paper itself

Abstract

BACKGROUND Little attention has been paid to how well the American Heart Association's cardiovascular health (CVH) score predicts early-onset diabetes in young adults. We investigated the association of CVH score with early- and later-onset diabetes and with subsequent complications of diabetes. METHODS AND RESULTS Our sample included 4547 Black and White adults in the CARDIA (Coronary Artery Risk Development in Young Adults) study without diabetes at baseline (1985-1986; aged 18-30 years) with complete data on the CVH score at baseline, including smoking, body mass index, physical activity, diet quality, total cholesterol, blood pressure, and fasting blood glucose. Incident diabetes was determined based on fasting glucose, 2-hour postload glucose, hemoglobin A1c, or self-reported medication use throughout 8 visits for 30 years. Multinomial logistic regression was used to assess the association between CVH score and diabetes onset at age <40 years (early onset) versus age ≥40 years (later onset). Secondary analyses assessed the association between CVH score and risk of complications (coronary artery calcium, clinical cardiovascular disease, kidney function markers, diabetic retinopathy, and diabetic neuropathy) among a subsample with diabetes. We identified 116 early- and 502 later-onset incident diabetes cases. Each 1-point higher CVH score was associated with lower odds of developing early-onset (odds ratio [OR], 0.64 [95% CI, 0.58-0.71]) and later-onset diabetes (OR, 0.78 [95% CI, 0.74-0.83]). Lower estimates of diabetic complications were observed per 1-point higher CVH score: 19% for coronary artery calcification≥100, 18% for cardiovascular disease, and 14% for diabetic neuropathy. CONCLUSIONS Higher CVH score in young adulthood was associated with lower early- and later-onset diabetes as well as diabetic complications.

Indexed as

Cardiovascular DiseasesCardiovascular SystemDiabetes Mellitus, Type 2Diabetic NeuropathiesAdultBlood PressureGlucoseHumansRisk FactorsUnited StatesYoung AdultGlucosecardiovascular healthearly diabetesprospective cohortvascular complicationsyoung adulthood

Identifiers

PMID36565184
PMCPMC9973601
OpenAlexW4313522801

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.