Evidence map›Paper›PMID 31504314›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2020

Potential for Point-of-Care Tests to Reduce Chlamydia-associated Burden in the United States: A Mathematical Modeling Analysis.

Minttu M Rönn, Nicolas A Menzies, Thomas L Gift, Harrell W Chesson, Tom A Trikalinos, Meghan Bellerose, Yelena Malyuta, Andrés Berruti, Charlotte A Gaydos, Katherine K Hsu and 1 more

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

  1. Long-Term Dynamics of Pelvic Inflammatory Disease Attributable toInternational journal of women's health · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. A profile of the binx healthExpert review of molecular diagnostics · 2021
    Review
  7. Article
  8. Article
  9. Point-by-Point Progress: Gonorrhea Point of Care Tests.Expert review of molecular diagnostics · 2020
    Article
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Minttu M RönnPrevention 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.
Thomas L GiftDivision of Sexually Transmitted Disease Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.
Harrell W ChessonDivision of Sexually Transmitted Disease Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.
Tom A TrikalinosDepartment of Health Services Policy & Practice, Brown University, Providence, Rhode Island.
Meghan BellerosePrevention Policy Modeling Lab, Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Yelena MalyutaPrevention Policy Modeling Lab, Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.
Andrés BerrutiDivision of Sexually Transmitted Disease Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia.
Charlotte A GaydosDivision of Infectious Diseases, Department of Medicine, John Hopkins University, Baltimore, Maryland.
Katherine K HsuDivision of Sexually Transmitted Disease Prevention & Human Immunodeficiency Virus/AIDS Surveillance, Massachusetts Department of Public Health, Boston.
Joshua A SalomonPrevention Policy Modeling Lab, Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts.

Funding

Intramural CDC HHS CC999999NCHHSTP CDC HHS U38 PS004644
6 · The paper itself

Abstract

backgroundPoint-of-care testing (POCT) assays for chlamydia are being developed. Their potential impact on the burden of chlamydial infection in the United States, in light of suboptimal screening coverage, remains unclear.

methodsUsing a transmission model calibrated to data in the United States, we estimated the impact of POCT on chlamydia prevalence, incidence, and chlamydia-attributable pelvic inflammatory disease (PID) incidence, assuming status quo (Analysis 1) and improved (Analysis 2) screening frequencies. We tested the robustness of results to changes in POCT sensitivity, the proportion of patients getting treated immediately, the baseline proportion lost to follow-up (LTFU), and the average treatment delay.

resultsIn Analysis 1, high POCT sensitivity was needed to reduce the chlamydia-associated burden. With a POCT sensitivity of 90%, reductions from the baseline burden only occurred in scenarios in which over 60% of the screened individuals would get immediate treatment and the baseline LTFU proportion was 20%. With a POCT sensitivity of 99% (baseline LTFU 10%, 2-week treatment delay), if everyone were treated immediately, the prevalence reduction was estimated at 5.7% (95% credible interval [CrI] 3.9-8.2%). If only 30% of tested persons would wait for results, the prevalence reduction was only 1.6% (95% CrI 1.1-2.3). POCT with 99% sensitivity could avert up to 12 700 (95% CrI 5000-22 200) PID cases per year, if 100% were treated immediately (baseline LTFU 20% and 3-week treatment delay). In Analysis 2, when POCT was coupled with increasing screening coverage, reductions in the chlamydia burden could be realized with a POCT sensitivity of 90%.

conclusionsPOCT could improve chlamydia prevention efforts if test performance characteristics are significantly improved over currently available options.

Indexed as

Chlamydia InfectionsPelvic Inflammatory DiseaseChlamydia trachomatisFemaleHumansMass ScreeningPoint-of-Care TestingUnited Stateschlamydiadiagnosticsmathematical modelpoint-of-carescreening

Identifiers

PMID31504314
PMCPMC7048627

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.