ArticleJournal of medical Internet research2019
Development and Validation of a Personalized Social Media Platform-Based HIV Incidence Risk Assessment Tool for Men Who Have Sex With Men in China.
Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 3 syntheses or guidelines pooled it, 24 citations in OpenAlex.
- Risk prediction models for targeted testing of HIV, hepatitis B and hepatitis C: a systematic review and meta-analysis.BMC infectious diseases · 2025Pooled 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
- Risk-Based Screening Tools to Optimise HIV Testing Services: a Systematic Review.Current HIV/AIDS reports · 2022Pooled it
- Mobile Phone Intervention Based on an HIV Risk Prediction Tool for HIV Prevention Among Men Who Have Sex With Men in China: Randomized Controlled Trial.JMIR mHealth and uHealth · 2021Trial
- '…it helps me to be able to do the right thing …': pilot of a waiting area chatbot to enhance self-assessment of HIV vulnerability and motivation for PrEP use in Nigeria.BMJ digital health & AI · 2026Article
- Prediction of new HIV infection in men who have sex with men based on machine learning: secondary analysis of a prospective cohort study from Western China.Annals of medicine · 2025Article
- Establishment and evaluation of a predictive model for immune reconstitution in people living with HIV after antiretroviral therapy.BMC infectious diseases · 2025Article
- Enhancing HIV/STI decision-making: challenges and opportunities in leveraging predictive models for individuals, healthcare providers, and policymakers.Journal of translational medicine · 2024Review
- HIV Incidence and Transactional Sex Among Men Who Have Sex With Men in Ningbo, China: Prospective Cohort Study Using a WeChat-Based Platform.JMIR public health and surveillance · 2024Article
- Utilization of Social Media for the Prevention and Control of HIV/AIDS: A Scoping Review.Journal of multidisciplinary healthcare · 2024Article
- Risk factors of oncogenic HPV infection in HIV-positive men with anal condyloma acuminata in Shenzhen, Southeast China: a retrospective cohort study.Frontiers in public health · 2023Article
- A Cost-effectiveness Analysis of a Mobile Phone-Based Integrated HIV-Prevention Intervention Among Men Who Have Sex With Men in China: Economic Evaluation.Journal of medical Internet research · 2022Article
- Prevalence of syphilis and risk factors among HIV-positive men who have sex with men in Guangdong province.Frontiers in public health · 2022Article
- Simple-to-use nomogram for predicting the risk of syphilis among MSM in Guangdong Province: results from a serial cross-sectional study.BMC infectious diseases · 2021Article
- Preference for daily versus on-demand pre-exposure prophylaxis for HIV and correlates among men who have sex with men: the China Real-world Oral PrEP Demonstration study.Journal of the International AIDS Society · 2021Article
- Identification and characterization of tweets related to the 2015 Indiana HIV outbreak: A retrospective infoveillance study.PloS one · 2020Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPersonalized risk assessments can help medical providers determine targeted populations for counseling and risk reduction interventions.
objectiveThe objective of this study was to develop a social media platform-based HIV risk prediction tool for men who have sex with men (MSM) in China based on an independent MSM cohort to help medical providers determine target populations for counseling and risk reduction treatments.
methodsA prospective cohort of MSM from Shenyang, China, followed from 2009 to 2016, was used to develop and validate the prediction model. The eligible MSM were randomly assigned to the training and validation dataset, and Cox proportional hazards regression modeling was conducted using predictors for HIV seroconversion selected by the training dataset. Discrimination and calibration were performed, and the related nomogram and social media platform-based HIV risk assessment tool were constructed.
resultsThe characteristics of the sample between the training dataset and the validation dataset were similar. The risk prediction model identified the following predictors for HIV seroconversion: the main venue used to find male sexual partners, had condomless receptive or insertive anal intercourse, and used rush poppers. The model was well calibrated. The bootstrap C-index was 0.75 (95% CI 0.65-0.85) in the training dataset, and 0.60 (95% CI 0.45-0.74) in the validation dataset. The calibration plots showed good agreement between predicted risk and the actual proportion of no HIV infection in both the training and validation datasets. Nomogram and WeChat-based HIV incidence risk assessment tools for MSM were developed.
conclusionsThis social media platform-based HIV infection risk prediction tool can be distributed easily, improve awareness of personal HIV infection risk, and stratify the MSM population based on HIV risk, thus informing targeted interventions for MSM at greatest risk for HIV infection.
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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.