Evidence map›Paper›PMID 38076214›Full record

ArticleHealth equity2023

Effects of Race and Gender Classifications on Atherosclerotic Cardiovascular Disease Risk Estimates for Clinical Decision-Making in a Cohort of Black Transgender Women.

Tonia Poteat, Elle Lett, Ashleigh J Rich, Huijun Jiang, Andrea L Wirtz, Asa Radix, Sari L Reisner, Alexander B Harris, Jowanna Malone, William G La Cava and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Health equity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. 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 at 8 institutions in 1 country.

Tonia PoteatDepartment of Social Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.ORCID https://orcid.org/0000-0001-6541-3787
Elle LettComputational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts, USA.
Ashleigh J RichDepartment of Social Medicine, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.
Huijun JiangDepartment of Biostatistics, Gillings School of Public Health, University of North Carolina, Chapel Hill, North Carolina, USA.
Andrea L WirtzDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Asa RadixCallen Lorde Community Health Center, New York, New York, USA.
Sari L ReisnerDivision of Endocrinology, Diabetes and Hypertension, Department of Medicine, Brigham Women's Hospital, Boston, Massachusetts, USA.
Alexander B HarrisCallen Lorde Community Health Center, New York, New York, USA.
Jowanna MaloneWhitman Walker Institute, Washington, District of Columbia, USA.
William G La CavaComputational Health Informatics Program, Boston Children's Hospital, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-1332-2960
Catherine R LeskoDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Kenneth H MayerDepartment of Medicine, Harvard Medical School, Boston, Massachusetts, USA.
Carl G StreedThe Fenway Institute, Fenway Health, Boston, Massachusetts, USA.
University of North Carolina at Chapel Hill · USBoston Children's Hospital · USCommunity Health Center · USJohns Hopkins University · USBeth Israel Deaconess Medical Center · USBoston University · USBrigham and Women's Hospital · USWhitman-Walker Health · US

Funding

Connecting the Dots: HIV, COVID-19, and Structural Racism in Gender Minority WomenR01MD013498 · NIMHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PERREIRA, KRISTA M, POTEAT, TONIA C · 2018 to 2022
$3.8M
NIMHD NIH HHS R01 MD013498
6 · The paper itself

Abstract

Introduction: Despite their dynamic, socially constructed, and imprecise nature, both race and gender are included in common risk calculators used for clinical decision-making about statin therapy for atherosclerotic cardiovascular disease (ASCVD) prevention. Methods and Materials: We assessed the effect of manipulating six different race-gender categories on ASCVD risk scores among 90 Black transgender women. Results: Risk scores varied by operationalization of race and gender and affected the proportion for whom statins were recommended. Discussion: Race and gender are social constructs underpinning racialized and gendered health inequities. Their rote use in ASCVD risk calculators may reinforce and perpetuate existing inequities.

Indexed as

African Americancardiovascular risk calculatorstatintransgender

Identifiers

PMID38076214
PMCPMC10698798
OpenAlexW4389168371

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.