Evidence map›Paper›PMID 31004259›Full record

ArticleJournal of immigrant and minority health2020

Cardiovascular Risk Assessment Varies Widely by Calculator and Race/Ethnicity in a Majority Latinx Cohort Living with HIV.

Yuanyuan Liang, Norma S Ketchum, Barbara J Turner, John Flores, Delia Bullock, Roberto Villarreal, Polly H Noël, Michael T Yin, Barbara S Taylor

Abstract read
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In one paragraph

Article in Journal of immigrant and minority health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. From Calculation to Communication: Using Risk Score Calculators to Inform Clinical Decision Making and Facilitate Patient Engagement.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
    Article
  3. Article
  4. Article
  5. 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 5 institutions in 1 country.

Yuanyuan LiangDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, MD, USA.
Norma S KetchumDepartment of Epidemiology and Biostatistics, UT Health San Antonio, San Antonio, TX, USA.
Barbara J TurnerResearch to Advance Community Health (ReACH) Center, UT Health San Antonio, San Antonio, TX, USA.
John FloresJoint Residency Program in Medicine and Pediatrics, University of Illinois at Chicago College of Medicine, Chicago, IL, USA.
Delia BullockDepartment of Medicine, UT Health San Antonio, 7703 Floyd Curl Dr., San Antonio, TX, 78229, USA.
Roberto VillarrealResearch and Information Management, University Health System, San Antonio, TX, USA.
Polly H NoëlDepartment of Family & Community Medicine, UT Health San Antonio, 7703 Floyd Curl Dr., San Antonio, TX, 78229, USA.
Michael T YinDepartment of Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Barbara S TaylorResearch to Advance Community Health (ReACH) Center, UT Health San Antonio, San Antonio, TX, USA. TaylorB4@uthscsa.edu.ORCID http://orcid.org/0000-0003-2471-9629
The University of Texas Health Science Center at San Antonio · USColumbia University · USUniversity Health System · USUniversity of Illinois Chicago · USUniversity of Maryland, Baltimore · US

Funding

American Heart Association 14CRP20150023
6 · The paper itself

Abstract

Comparison of cardiovascular disease (CVD) risk calculators in Latinx majority populations living with HIV can assist clinicians in selecting a calculator and interpreting results. 10-year CVD risks were estimated for 652 patients seen ≥ 2 times over 12 months in a public clinic using three risk calculators: Atherosclerotic CVD risk Calculator (ASCVD), Framingham Risk Calculator (FRC), and Data Collection on Adverse Effects of Anti-HIV Drugs Study (D:A:D) Calculator. Median estimated 10-year CVD risk in this population was highest using FRC (11%), followed by D:A:D (10%), and lowest with ASCVD (5%; p < 0.001). However, D:A:D classified 44.3% in a high/very high risk category compared to FRC (20.7%) and ASCVD (33.4%) (all p < 0.001). ASCVD risk estimates differed significantly by race/ethnicity (p < 0.001). Risk varied widely across three risk calculators and by race/ethnicity, and providers should be aware of these differences when choosing a calculator for use in majority minority populations.

Indexed as

Heart Disease Risk FactorsHIV InfectionsRacial GroupsAdultAgedAtherosclerosisCardiovascular DiseasesEthnicityFemaleHumansMaleMiddle AgedRegistriesRisk AssessmentTexasCardiovascular riskCardiovascular risk calculationEthnicityHispanicHIVRace

Identifiers

PMID31004259
OpenAlexW2936029166

What OpenQuestion holds

Textmetadata
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.