Evidence map›Paper›PMID 30608525›Full record

ArticleAmerican journal of epidemiology2019

The Impact of Screening and Partner Notification on Chlamydia Prevalence and Numbers of Infections Averted in the United States, 2000-2015: Evaluation of Epidemiologic Trends Using a Pair-Formation Transmission Model.

Minttu M Rönn, Ashleigh R Tuite, Nicolas A Menzies, Emory E Wolf, Thomas L Gift, Harrell W Chesson, Elizabeth Torrone, Andrés Berruti, Emanuele Mazzola, Kara Galer and 2 more

Abstract readEvaluation Study
In one paragraph

Article in American journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Cost-effectiveness of Check It: A Novel Community-Based Chlamydia Screening and Expedited Treatment Program for Young Black Men.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  4. Article
  5. Article
  6. Article
  7. Potential for Point-of-Care Tests to Reduce Chlamydia-associated Burden in the United States: A Mathematical Modeling Analysis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Article
  8. Article
  9. Article
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

12 authors.

Minttu M RönnPrevention Policy Modeling Lab, Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Ashleigh R TuitePrevention Policy Modeling Lab, Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Nicolas A MenziesPrevention Policy Modeling Lab, Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Emory E WolfPrevention Policy Modeling Lab, Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Thomas L GiftDivision of STD Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.
Harrell W ChessonDivision of STD Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.
Elizabeth TorroneDivision of STD Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.
Andrés BerrutiDivision of STD Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.
Emanuele MazzolaDana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
Kara GalerPrevention Policy Modeling Lab, Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Katherine HsuDivision of STD Prevention and HIV/AIDS Surveillance, Massachusetts Department of Public Health, Boston, Massachusetts.
Joshua A SalomonPrevention Policy Modeling Lab, Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.

Funding

Economic Modeling for HIV, Viral Hepatitis, STD, TB and School HealthU38PS004644 · PS · HARVARD SCHOOL OF PUBLIC HEALTH · PI SALOMON, JOSHUA A · 2014 to 2015
$2.9M
NCHHSTP CDC HHS U38 PS004644
6 · The paper itself

Abstract

Population-level effects of control strategies on the dynamics of Chlamydia trachomatis transmission are difficult to quantify. In this study, we calibrated a novel sex- and age-stratified pair-formation transmission model of chlamydial infection to epidemiologic data in the United States for 2000-2015. We used sex- and age-specific prevalence estimates from the National Health and Nutrition Examination Surveys, case report data from national chlamydia surveillance, and survey data from the Youth Risk Behavior Survey on the proportion of the sexually active population aged 15-18 years. We were able to reconcile national prevalence estimates and case report data by allowing for changes over time in screening coverage and reporting completeness. In retrospective analysis, chlamydia prevalence was estimated to be almost twice the current levels in the absence of screening and partner notification. Although chlamydia screening and partner notification were both found to reduce chlamydia burden, the relative magnitude of their estimated impacts varied in our sensitivity analyses. The variation in the model predictions highlights the need for further data collection and research to improve our understanding of the natural history of chlamydia and the pathways through which prevention strategies affect transmission dynamics.

Indexed as

Chlamydia trachomatisAdolescentAdultChlamydia InfectionsContact TracingDisease Transmission, InfectiousFemaleHumansMaleMass ScreeningNutrition SurveysPrevalenceRetrospective StudiesSexual PartnersUnited StatesYoung Adultchlamydiamathematical modelingreproductive healthsexually transmitted infectionssurveillance

Identifiers

PMID30608525
PMCPMC6395170

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.