Cited by 88HIV/AIDS Research and InterventionsHIV, Drug Use, Sexual RiskHIV Research and Treatment

Providers should discuss U=U with all patients living with HIV.

Calabrese, Sarah K, Mayer, Kenneth H·2019·The Lancet HIV

Integrity signals

Registry

Crossref · 10.1016/s2352-3018(19)30030-x

Cites

8 of 8 references verified0 citation errors · 0 not checkable

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Claims the paper makes

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  • Knowledge of the prevention benefit of treatment can help reduce stigma and increase the person's commitment to start and remain adherent to ART.

    “Knowledge of the prevention benefit of treatment can help reduce stigma and increase the person’s commitment to start and remain adherent to ART (423).”

    From Sexually Transmitted Infections Treatment Guidelines, 2021 (2021) · cites this paper as [423]

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Authors
Calabrese, S. K., & Mayer, K. H.
Affiliations
  • George Washington University (US)
  • Harvard University (US)
Corresponding author
Calabrese, Sarah K
Venue
The Lancet HIV
Publisher
Elsevier BV
Published
2019-04
Volume
6
Issue
4
Pages
e211-e213
ISSN
2352-3018 (ISSN-L)
OpenAlex
W2913179940
Cited by
88
References
9
Citations by year
2026: 7 · 2025: 10 · 2024: 8 · 2023: 12 · 2022: 10 · 2021: 17 · 2020: 12 · 2019: 12
FWCI
9.82
Type
journal article
Language
en
Open access
closed
Locations
  • The Lancet HIV (publishedVersion)
  • PubMed (publishedVersion)
Funders
National Institute of Mental Health (Award Number K01-MH103080)
Topics
  • Health Sciences › Medicine › Infectious Diseases › HIV/AIDS Research and Interventions
  • Health Sciences › Medicine › Epidemiology › HIV, Drug Use, Sexual Risk
  • Life Sciences › Immunology and Microbiology › Virology › HIV Research and Treatment
Keywords
HIV transmission, viral suppression, undetectable equals untransmittable, unprotected sex, HIV-negative partners, patient communication, HIV prevention messaging
MeSH terms
Health Personnel, Humans, HIV Infections

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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