ArticleAIDS patient care and STDs2019
Using HIV Risk Prediction Tools to Identify Candidates for Pre-Exposure Prophylaxis: Perspectives from Patients and Primary Care Providers.
Article in AIDS patient care and STDs, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 31 citations in OpenAlex.
- Current ARTs, Virologic Failure, and Implications for AIDS Management: A Systematic Review.Viruses · 2023Pooled it
- Performance of HIV Infection Prediction Models in Men Who Have Sex with Men: A Systematic Review and Meta-Analysis.Archives of sexual behavior · 2023Pooled it
- Anxiety responses and testing intentions among gay and bisexual men using an AI-powered HIV/STI risk assessment tool: a quasi-experimental study.BMC public health · 2025Article
- Development of an electronic health record-based Human Immunodeficiency Virus (HIV) risk prediction model for women, incorporating social determinants of health.BMC public health · 2025Article
- HEalth Record Optimization for Identifying Candidates for HIV PRe-Exposure Prophylaxis: A Community-Informed Approach to Model Development.AIDS patient care and STDs · 2025Article
- Building models, building capacity: A review of participatory machine learning for HIV prevention.PLOS global public health · 2025Review
- Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making.NPJ digital medicine · 2024Article
- Using Machine Learning to Identify Patients at Risk of Acquiring HIV in an Urban Health System.Journal of acquired immune deficiency syndromes (1999) · 2024Article
- Assessing Patient Acceptance of an Automated Algorithm to Identify Ciswomen for HIV Pre-Exposure Prophylaxis.Journal of women's health (2002) · 2024Article
- Addressing Unmet PrEP Needs in Women: Impact of a Laboratory-Driven Protocol at an Urban, Essential Hospital.Open forum infectious diseases · 2024Article
- STI/HIV risk prediction model development-A novel use of public data to forecast STIs/HIV risk for men who have sex with men.Frontiers in public health · 2024Article
- Development of a Human Immunodeficiency Virus Risk Prediction Model Using Electronic Health Record Data From an Academic Health System in the Southern United States.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023Article
- Primary Care Providers' Perspectives on Using Automated HIV Risk Prediction Models to Identify Potential Candidates for Pre-exposure Prophylaxis.AIDS and behavior · 2021Article
- HIV Information Acquisition and Use Among Young Black Men Who Have Sex With Men Who Use the Internet: Mixed Methods Study.Journal of medical Internet research · 2021Article
- Patient-Led Decision-Making for HIV Preexposure Prophylaxis.Current HIV/AIDS reports · 2021Review
- Age-Specific Risk Scores Do Not Improve HIV-1 Prediction Among Women in South Africa.Journal of acquired immune deficiency syndromes (1999) · 2020Article
- Artificial Intelligence and Machine Learning for HIV Prevention: Emerging Approaches to Ending the Epidemic.Current HIV/AIDS reports · 2020Review
- Article
- A Primary Care Intervention to Increase HIV Pre-Exposure Prophylaxis (PrEP) Uptake in Patients with Syphilis.Journal of the International Association of Providers of AIDS CareArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 6 institutions in 1 country.
Funding
Abstract
Clinical guidelines for HIV pre-exposure prophylaxis (PrEP) include risk prediction tools to identify appropriate candidates. We conducted a qualitative interview study to explore the potential acceptability, interpretation, and anticipated impact of such tools from the perspectives of men who have sex with men (MSM) and primary care providers (PCPs). Our purposive sample of English-speaking participants included: (1) MSM reporting HIV risk behaviors (
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.