ArticleSexually transmitted infections2005
A prediction rule for selective screening of Chlamydia trachomatis infection.
Article in Sexually transmitted infections, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 34 papers, 3 of them syntheses that pooled it.
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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.
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Who cites it
34 citing papers in PubMed, 3 syntheses or guidelines pooled it, 111 citations in OpenAlex.
- Socioeconomic factors and other sources of variation in the prevalence of genital chlamydia infections: A systematic review and meta-analysis.BMC public health · 2015Pooled it
- Chlamydia prevalence in the general population: is there a sex difference? a systematic review.BMC infectious diseases · 2013Pooled it
- A systematic review of postcoital bleeding and risk of cervical cancer.The British journal of general practice : the journal of the Royal College of General Practitioners · 2006Pooled it
- Effects of population based screening for Chlamydia infections in the Netherlands limited by declining participation rates.PloS one · 2013Trial
- Effectiveness of yearly, register based screening for chlamydia in the Netherlands: controlled trial with randomised stepped wedge implementation.BMJ (Clinical research ed.) · 2012Trial
- Promoting STI testing among senior vocational students in Rotterdam, the Netherlands: effects of a cluster randomized study.BMC public health · 2011Trial
- Article
- Evaluation of the prevalence of sexually transmitted bacterial pathogens in Northern Cyprus by nucleic acid amplification tests, and investigation of the relationship between these pathogens and cervicitis.Turkish journal of obstetrics and gynecology · 2019Article
- Article
- Differences in Chlamydia trachomatis seroprevalence between ethnic groups cannot be fully explained by socioeconomic status, sexual healthcare seeking behavior or sexual risk behavior: a cross-sectional analysis in the HEalthy LIfe in an Urban Setting (HELIUS) study.BMC infectious diseases · 2018Article
- Assessing association between IWantTheKit risk quiz tool and sexually transmitted infection positivity in male users for sexually transmitted infection screening.International journal of STD & AIDS · 2018Article
- Article
- Enteric disease episodes and the risk of acquiring a future sexually transmitted infection: a prediction model in Montreal residents.Journal of the American Medical Informatics Association : JAMIA · 2016Article
- Screening for genital chlamydia infection.The Cochrane database of systematic reviews · 2016Review
- Use of a risk quiz to predict infection for sexually transmitted infections: a retrospective analysis of acceptability and positivity.Sexually transmitted infections · 2016Article
- Comparison of STI-related consultations among ethnic groups in the Netherlands: an epidemiologic study using electronic records from general practices.BMC family practice · 2015Article
- Knowledge and acceptability of Chlamydia trachomatis screening among pregnant women and their partners; a cross-sectional study.BMC public health · 2014Article
- Prevalence of chlamydia in young adulthood and association with life course socioeconomic position: birth cohort study.PloS one · 2014Article
- Risk prediction in sexual health contexts: protocol.JMIR research protocols · 2013Article
- Higher Chlamydia trachomatis prevalence in ethnic minorities does not always reflect higher sexual risk behaviour.PloS one · 2013Article
Corrections and comments
- Erratum issuedSteyerberg, EW [added]; Coenen, AJJ [added]; de Groot, F [added]; Verhooren, MJC [added]; van Schaik, DT [added]
Authors and funding
11 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundScreening for Chlamydia trachomatis infections is aimed at the reduction of these infections and subsequent complications. Selective screening may increase the cost effectiveness of a screening programme. Few population based systematic screening programmes have been carried out and attempts to validate selective screening criteria have shown poor performance. This study describes the development of a prediction rule for estimating the risk of chlamydial infection as a basis for selective screening.
methodsA population based chlamydia screening study was performed in the Netherlands by inviting 21,000 15-29 year old women and men in urban and rural areas for home based urine testing. Multivariable logistic regression was used to identify risk factors for chlamydial infection among 6303 sexually active participants, and the discriminative ability was measured by the area under the receiver operating characteristic curve (AUC). Internal validity was assessed with bootstrap resampling techniques.
resultsThe prevalence of C trachomatis (CT) infection was 2.6% (95% CI 2.2 to 3.2) in women and 2.0% (95% CI 1.4 to 2.7) in men. Chlamydial infection was associated with high level of urbanisation, young age, Surinam/Antillian ethnicity, low/intermediate education, multiple lifetime partners, a new contact in the previous two months, no condom use at last sexual contact, and complaints of (post)coital bleeding in women and frequent urination in men. A prediction model with these risk factors showed adequate discriminative ability at internal validation (AUC 0.78).
conclusionThe prediction rule has the potential to guide individuals in their choice of participation when offered chlamydia screening and is a promising tool for selective CT screening at population level.
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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.