Evidence map›Paper›PMID 39312538›Full record

ArticlePloS one2024

HIV and hepatitis C virus infection and co-infection among trans women in San Francisco, 2020.

Izzy Chiu, Damiana Cano, Matisse Leathers, Caitlin M Turner, Dillon Trujillo, Sofia Sicro, Sean Arayasirikul, Kelly D Taylor, Erin C Wilson, Willi McFarland

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

10 authors.

Izzy ChiuFielding School of Public Health, University of California Los Angeles, Los Angeles, CA, United States of America.ORCID 0000-0002-7306-1379
Damiana CanoCenter for Public Health Research, San Francisco Department of Public Health, San Francisco, CA, United States of America.
Matisse LeathersCenter for Public Health Research, San Francisco Department of Public Health, San Francisco, CA, United States of America.
Caitlin M TurnerDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States of America.
Dillon TrujilloFielding School of Public Health, University of California Los Angeles, Los Angeles, CA, United States of America.ORCID 0000-0001-7990-1909
Sofia SicroCenter for Public Health Research, San Francisco Department of Public Health, San Francisco, CA, United States of America.
Sean ArayasirikulDepartment of Health, Society, & Behavior, University of California, Irvine, Irvine, CA, United States of America.
Kelly D TaylorDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, United States of America.ORCID 0000-0001-7785-1397
Erin C WilsonCenter for Public Health Research, San Francisco Department of Public Health, San Francisco, CA, United States of America.
Willi McFarlandCenter for Public Health Research, San Francisco Department of Public Health, San Francisco, CA, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTransgender women (hereafter "trans women") face social marginalization, stigma, and discrimination and experience a high burden of HIV. More recently, trans women have been identified as having a high risk for hepatitis C (HCV) infection. The interaction between these two diseases and the risks for HIV/HCV co-infection among trans women are understudied.

objectiveTo characterize epidemiological, behavioral, and socio-structural interactions between HIV and HCV infections among trans women.

methodsThis cross-sectional study examined data from a community-based survey of trans women in San Francisco recruited through respondent-driven sampling (RDS) in 2019/2020. Face-to-face interviews collected data on demographics, medical history, drug injection practices, sexual behavior, and socio-structural factors (e.g., poverty, housing insecurity, incarceration, social support). HIV and HCV antibodies were detected using oral fluid rapid tests and prior diagnosis and treatment were collected by self-report. Blood specimens were collected to confirm antibodies using ELISA. Multinomial logistic regression analysis characterized factors associated with HIV infection alone, HCV infection alone, and HIV/HCV co-infection compared to neither infection.

resultsAmong 201 trans women recruited, HIV prevalence was 42.3%; HCV infection by history or current seroprevalence was 28.9%; evidence for both HIV and HCV infection was present for 18.9%. Two-thirds of trans women (67.2%) had been incarcerated; 30.8% had ever injected drugs. History of injection drug use and receiving emotional support from family were factors found in common for HIV infection, HCV infection, and HIV/HCV co-infection compared to no infection. Having a sexual partner who injects drugs was associated with HIV infection alone. Not lacking care due to cost and older age were associated with co-infection. Older age was also associated with HCV infection. Of trans women with HIV infection, 91.8% had accessed HIV care, whereas only 62% with HCV had accessed some form of care.

conclusionsOur study found high levels of HIV, HCV, and HIV/HCV co-infection among trans women in San Francisco. We found common associations between HIV and HCV through injection practices and emotional support, but having a sexual partner who injects drugs was not associated with HCV infection alone or co-infection. We note a substantial gap in the treatment of HCV for trans women, including those in HIV care, that needs to be urgently addressed.

Indexed as

CoinfectionHepatitis CHIV InfectionsTransgender PersonsAdolescentAdultCross-Sectional StudiesFemaleHepacivirusHumansMaleMiddle AgedPrevalenceRisk FactorsSan FranciscoSexual Behavior

Identifiers

PMID39312538
PMCPMC11419358

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LicenceCC BY
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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.