ArticleSexually transmitted infections2004
Monitoring trends in sexual behaviour and HIV/STIs in Peru: are available data sufficient?
Article in Sexually transmitted infections, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 6 papers.
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.
Implementation of a Third Generation Sentinel Surveillance Approach Among Men Who Have Sex With Men at High Risk for HIV, Type-1 Acquisition in the Andean Region
The Role of Genital Warts in HIV Acquisition Among MSM in Peru"
Who cites it
6 citing papers in PubMed.
- Article
- Understanding STI Risk and Condom Use Patterns by Partner Type Among Female Sex Workers in Peru.The open AIDS journal · 2014Article
- Determining a cost effective intervention response to HIV/AIDS in Peru.BMC public health · 2009Article
- Sexual behavior and drug consumption among young adults in a shantytown in Lima, Peru.BMC public health · 2009Article
- New populations at high risk of HIV/STIs in low-income, urban coastal Peru.AIDS and behavior · 2008Article
- Ethical issues in the NIMH Collaborative HIV/STD Prevention Trial.AIDS (London, England) · 2007Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo review and summarise various types of Peruvian evidence on sexual behaviour, HIV/STI exposure and risk, and discuss how to increase its usefulness for HIV/STI risk trend monitoring in Peru.
methodsReview HIV sentinel surveillance conducted by the Ministry of Health; data from the Demographic and Health Surveys (DHS); and academic publications on sexual behaviour in combination with biological markers. Changes over time, quality of data, size of studies, and intended audience are discussed.
resultsData from HIV sentinel surveillance showed very high (8-23%) HIV seroprevalence among men having sex with men, but stable, relatively low figures among female sex workers (1%) and antenatal clinic patients (under 0.5%). DHS data suggest that single women increased their sexual activity throughout the 1990s but did not raise their contraceptive use accordingly, resulting in increased early conceptions. The contribution of condoms to overall contraceptive protection increased threefold in 1992-2000. According to the 1996 survey, men become sexually active 2.5 years earlier than women, but marry or cohabit four years later than women; women marry or cohabit 1.5-2.5 years after first sex, whereas men take eight years to do so. Finally, published studies confirmed dramatic differences in HIV prevalence between men who have sex with men and other populations, and also suggested patterns of bridging from men to women.
conclusionsData available from the three sources are numerous, although limitations of each approach reduce their monitoring utility: Ministry of Health studies should select better sentinel populations and timely process behavioural data. Future demographic surveys should incorporate an AIDS risk perspective and include men.
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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.