Evidence map›Paper›PMID 31794495›Full record

ArticleEpidemiology (Cambridge, Mass.)2020

Understanding Relationships Between Chlamydial Infection, Symptoms, and Testing Behavior: An Analysis of Data from Natsal-3.

Joanna Lewis, Peter J White

Open access · hybridAbstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
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

2 authors at 1 institution in 1 country.

Joanna LewisFrom the NIHR Health Protection Research Unit in Modelling Methodology and MRC Centre for Global Infectious Disease Analysis, Imperial College London School of Public Health, London, United Kingdom.
Peter J WhiteFrom the NIHR Health Protection Research Unit in Modelling Methodology and MRC Centre for Global Infectious Disease Analysis, Imperial College London School of Public Health, London, United Kingdom.
Imperial College London · GB

Funding

Medical Research Council MR/R015600/1
6 · The paper itself

Abstract

backgroundGenital chlamydia is the most commonly diagnosed sexually transmitted infection worldwide and can have serious long-term sequelae. Numerous countries invest substantially in testing but evidence for programs' effectiveness is inconclusive. It is important to understand the effects of testing programs in different groups of people.

methodsWe analyzed data on sexual behavior and chlamydia tests from 16-to 24-year olds in Britain's third National Survey of Sexual Attitudes and Lifestyles, considering test setting, reason, and result. We conducted descriptive analysis accounting for survey design and nonresponse, and Bayesian analysis using a mathematical model.

resultsMost men testing due to symptoms tested in sexual health settings (63%; 95% confidence interval 43%-84%) but most women testing due to symptoms were tested by general practitioners (59%; 43%-76%). Within behavioral groups, positivity of chlamydia screens (tests not prompted by symptoms or partner notification) was similar to population prevalence. Screening rates were higher in women and in those reporting more partners: median (95% credible interval) rates per year in men were 0.30 (0.25-0.36) (0 new partners), 0.45 (0.37-0.54) (1 new partner), and 0.60 (0.50-0.73) (≥2 new partners). In women, they were 0.61 (0.53-0.69) (0 new partners), 0.89 (0.75-1.04) (1 new partner), and 1.2 (1.0-1.4) (≥2 new partners).

conclusionsProportion of testing occurring in sexual health is not a proxy for proportion prompted by symptoms. Test positivity depends on a combination of force of infection and screening rate and does not simply reflect prevalence or behavioral risk. The analysis highlights the value of recording testing reason and behavioral characteristics to inform cost-effective control.

Indexed as

Chlamydia InfectionsMass ScreeningAdolescentBayes TheoremFemaleHumansMaleSymptom AssessmentUnited KingdomYoung Adult

Identifiers

PMID31794495
PMCPMC7004460
OpenAlexW2991792890

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.