Evidence map›Paper›PMID 36609346›Full record

ArticleSexually transmitted infections2023

Inadequate performance of a risk score to predict asymptomatic

Emily Rowlinson, James P Hughes, Christine M Khosropour, Lisa E Manhart, Matthew R Golden, Lindley A Barbee

Open access · greenAbstract read
In one paragraph

Article in Sexually transmitted infections, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 51% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

6 authors at 2 institutions in 1 country.

Emily RowlinsonDepartment of Epidemiology, University of Washington, Seattle, Washington, USA erowlin@uw.edu.ORCID 0000-0003-2436-1022
James P HughesBiostatistics, University of Washington, Seattle, Washington, USA.
Christine M KhosropourDepartment of Epidemiology, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-9743-0829
Lisa E ManhartDepartment of Epidemiology, University of Washington, Seattle, Washington, USA.
Matthew R GoldenMedicine, University of Washington, Seattle, Washington, USA.
Lindley A BarbeeMedicine, University of Washington, Seattle, Washington, USA.
University of Washington · USPublic Health – Seattle & King County · US

Funding

NRSA Training CoreTL1TR002318 · NCATS · UNIVERSITY OF WASHINGTON · PI Megan Moore · 2017 to 2026
$8.4M
Quantifying the Use of Epidemiologic Treatment and its Role in the Development of Antimicrobial-Resistant N. gonorrhoeae among Men who have Sex with Men (MSM)R03AI156261 · NIAID · UNIVERSITY OF WASHINGTON · PI BARBEE, LINDLEY · 2021 to 2022
$147k
NCATS NIH HHS TL1 TR002318NIAID NIH HHS R03 AI156261
6 · The paper itself

Abstract

objectivesEpidemiological treatment of persons who are sexual contacts to partners with

methodsWe included visits to the Public Health - Seattle & King County Sexual Health Clinic by asymptomatic cisgender men who have sex with men (MSM) aged ≥18 who presented as a sexual contact to partner(s) with CT or NG infection between 2011 and 2019. We used logistic regression to estimate the odds of CT and/or NG infections associated with demographic and clinical predictors, selecting the final set of predictors using the Akaike information criteria and obtaining score weights from model coefficients. We used a cross-validation approach to obtain average model discrimination from each of 10 models, leaving out 10% of the data, and evaluated sensitivity and specificity at various score cut-offs.

resultsThe final model for predicting NG or CT infection included seven predictors (age <35 years, HIV status, receptive oral sex in the prior 2 months, CT diagnosis, condomless receptive anal intercourse, condomless insertive anal intercourse and methamphetamine use in the prior 12 months). Model discrimination, as measured by the receiver operating curve, was 0.60 (95% CI 0.54 to 0.66). Sensitivity for detection of infection was ≥90% for scores ≥3, ≥5 and ≥7; specificity for these cut-offs was <16%. At scores ≥9, ≥12 and ≥14, specificity increased but sensitivity decreased to ≤76%.

conclusionsOur risk score did not sufficiently discriminate between asymptomatic MSM with and without NG/CT infection. Additional studies evaluating epidemiological treatment as a standard of care in diverse populations are needed to guide best practices in the management of contacts to NG/CT infection.

Indexed as

Chlamydia InfectionsGonorrheaSexual and Gender MinoritiesChlamydia trachomatisHomosexuality, MaleHumansMaleNeisseria gonorrhoeaePrevalenceRisk FactorsSexual Behaviorchlamydia infectionsepidemiologyneisseria gonorrhoeae

Identifiers

PMID36609346
PMCPMC10323043
OpenAlexW4313644577

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.