Evidence map›Paper›PMID 24810218›Full record

ArticleInternational journal of STD & AIDS2015

Correlates of prevalent sexually transmitted infections among participants screened for an HIV incidence cohort study in Kisumu, Kenya.

Fredrick Odhiambo Otieno, Richard Ndivo, Simon Oswago, Sherri Pals, Robert Chen, Timothy Thomas, Ernesta Kunneke, Lisa A Mills, Eleanor McLellan-Lemal

Open access · greenAbstract read
In one paragraph

Article in International journal of STD & AIDS, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 9% of its field
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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

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  7. High Prevalence ofFrontiers in cellular and infection microbiology · 2021
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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

9 authors at 4 institutions in 3 countries.

Fredrick Odhiambo OtienoCentre for Global Health Research, Kenya Medical Research Institute (KEMRI)/CDC Program, Kisumu, Kenya FOtieno@kemricdc.org.
Richard NdivoCentre for Global Health Research, Kenya Medical Research Institute (KEMRI)/CDC Program, Kisumu, Kenya.
Simon OswagoCentre for Global Health Research, Kenya Medical Research Institute (KEMRI)/CDC Program, Kisumu, Kenya.
Sherri PalsCenters for Disease Control and Prevention, Office of Infectious Diseases, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Division of HIV/AIDS Prevention, Atlanta, GA, USA.
Robert ChenCenters for Disease Control and Prevention, Office of Infectious Diseases, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Division of HIV/AIDS Prevention, Atlanta, GA, USA.
Timothy ThomasCenters for Disease Control and Prevention, Office of Infectious Diseases, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Division of HIV/AIDS Prevention, Atlanta, GA, USA.
Ernesta KunnekeSchool of Public Health, Faculty of Community and Health Sciences, University of the Western Cape, Cape Town, South Africa.
Lisa A MillsCenters for Disease Control and Prevention, Office of Infectious Diseases, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Division of HIV/AIDS Prevention, Atlanta, GA, USA.
Eleanor McLellan-LemalCenters for Disease Control and Prevention, Office of Infectious Diseases, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, Division of HIV/AIDS Prevention, Atlanta, GA, USA.
Office of Infectious Diseases · USKenya Medical Research Institute · KENational Center for HIV/AIDS Viral Hepatitis STD and TB Prevention · USUniversity of the Western Cape · ZA

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

We determined the prevalence of four sexually transmitted infections and the demographic and behavioural correlates associated with having one or more sexually transmitted infections among participants in an HIV incidence cohort study in Kisumu, western Kenya. Participants were enrolled from a convenience sample and underwent aetiologic sexually transmitted infection investigation. Demographic and behavioural information were collected and basic clinical evaluation performed. Multiple regression analysis was done to determine variables associated with having one or more sexually transmitted infections. We screened 846, 18- to 34-year-olds. One-third had at least one sexually transmitted infection with specific prevalence being: syphilis, 1.6%; gonorrhoea, 2.4%; herpes simplex virus type-2, 29.1%; chlamydia, 2.8%; and HIV, 14.8%. Odds of having any sexually transmitted infection were higher among participants who were women, were aged 20-24 or 30-34 years compared to 18-19 years, had secondary or lower education compared to tertiary education, were divorced, widowed or separated compared to singles, reported having unprotected sex compared to those who did not, reported previous sexually transmitted infection treatment, and tested HIV-positive. Multiple strategies are needed to address the overall high prevalence of sexually transmitted infections as well as the gender disparity found in this Kenyan population. Structural interventions may be beneficial in addressing educational and socio-economic barriers, and increasing the uptake of health-promoting practices.

Indexed as

AdolescentAdultChlamydia InfectionsCohort StudiesCondomsFemaleGonorrheaHealth SurveysHerpes GenitalisHIV InfectionsHumansIncidenceKenyaPrevalenceRegression AnalysisRisk FactorscorrelatesKenyaKisumuprevalencesexually transmitted infection

Identifiers

PMID24810218
PMCPMC4709839
OpenAlexW2153223243

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.