Evidence map›Paper›PMID 36644490›Full record

ArticleTransgender health2022

Transgender Identity and Cardiovascular Disease.

Isabelle Howerton, Jenine K Harris

Open access · greenAbstract read
In one paragraph

Article in Transgender health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.3field-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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
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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

2 authors at 1 institution in 1 country.

Isabelle HowertonPublic Health Program, Brown School, Washington University in St. Louis, St. Louis, Missouri, USA.
Jenine K HarrisPublic Health Program, Brown School, Washington University in St. Louis, St. Louis, Missouri, USA.ORCID https://orcid.org/0000-0002-3576-5906
Washington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: As of 2016, 1.4 million people in the United States were identified as transgender. Transgender people face health disparities and may be at high risk for cardiovascular disease (CVD). The objective of this study was to examine the odds of CVD for those who report a transgender identity compared with cisgender. Methods: We used logistic regression to examine whether transgender identity was associated with CVD after accounting for factors commonly associated with CVD. Data were obtained from the Behavioral Risk Factor Surveillance Survey for the years 2015 through 2019. Results: Of the participants, 93.1% reported no CVD and 6.9% reported CVD. For participants with female sex recorded at birth, those identifying as transgender had 2.66 times higher odds of CVD (95% confidence interval [CI]: 1.60-4.41) than those identifying as cisgender. For participants with male sex recorded at birth, the odds of CVD were not statistically significantly different for transgender identity compared with cisgender identity; however, those who were gender nonconforming had 2.21 times higher odds of CVD (95% CI: 1.04-4.70) compared with those with cisgender identity. Additional significant predictors of CVD were age, race, body mass index, alcohol consumption, exercise, and smoking status. Conclusion: Participants who were female sex recorded at birth had statistically significant increased odds of CVD for those reporting transgender identity compared with cisgender identity. However, transgender identity did not change the odds of CVD compared with cisgender identity for participants who were male sex recorded at birth.

Indexed as

cardiovascular diseasecisgenderhealth disparitiestransgender

Identifiers

PMID36644490
PMCPMC9829133
OpenAlexW3195526647

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.