Evidence map›Paper›PMID 39621456›Full record

ArticleSexual health2024

Comparison of IgG serum antibodies, electronic health records and self-report in estimating past infection with

Mary Bridget Waters, Lindley A Barbee, Kevin Hybiske, Katherine Newman, Ren Ikeda, Angela LeClair, Matthew R Golden, Olusegun O Soge, Lisa E Manhart, Christine M Khosropour

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Sexual health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Mary Bridget WatersDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Lindley A BarbeeDepartment of Medicine, University of Washington, Seattle, WA, USA; and Public Health - Seattle and King County, HIV/STD Program, Seattle, WA, USA.
Kevin HybiskeDepartment of Medicine, University of Washington, Seattle, WA, USA.
Katherine NewmanDepartment of Medicine, University of Washington, Seattle, WA, USA.
Ren IkedaDepartment of Medicine, University of Washington, Seattle, WA, USA.
Angela LeClairDepartment of Medicine, University of Washington, Seattle, WA, USA.
Matthew R GoldenDepartment of Epidemiology, University of Washington, Seattle, WA, USA; and Department of Medicine, University of Washington, Seattle, WA, USA; and Public Health - Seattle and King County, HIV/STD Program, Seattle, WA, USA.
Olusegun O SogeDepartment of Medicine, University of Washington, Seattle, WA, USA; and Department of Global Health, University of Washington, Seattle, WA, USA; and Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA.
Lisa E ManhartDepartment of Epidemiology, University of Washington, Seattle, WA, USA.
Christine M KhosropourDepartment of Epidemiology, University of Washington, Seattle, WA, USA.

Funding

Cumulative burden of Chlamydia trachomatis and Mycoplasma genitalium in the US: implications for screening guidelines and antimicrobial resistanceR01AI161019 · NIAID · UNIVERSITY OF WASHINGTON · PI MANHART, LISA E · 2021 to 2025
$3.1M
Characterizing Extragenital Gonorrhea and Chlamydia: Natural History & HIV ImpactK23AI113185 · NIAID · UNIVERSITY OF WASHINGTON · PI BARBEE, LINDLEY · 2014 to 2018
$903k
NIAID NIH HHS K23 AI113185NIAID NIH HHS R01 AI161019
6 · The paper itself

Abstract

Background The best method for measuring a history of Chlamydia trachomatis (CT) infections is unknown. We examined the reliability of three methods as markers of past CT infections: IgG serum antibodies, the electronic health record (EHR) and self-report. Methods This cross-sectional study used data from a cohort study of 122 MSM in King County, Washington, United States. Sera were tested for IgG using the mixed CT peptide enzyme-linked immunosorbent assay (ELISA). Participant data for past CT diagnoses were extracted from the EHR. Self-report of past CT was collected via survey. We calculated positive and negative percent agreements of CT history using total IgG serum antibodies to CT, past EHR diagnosis and self-report of past CT as reference measures when they were compared with one another. Results Of those who were IgG seropositive, only 41.5% had a past diagnosis of CT in their EHRs, but 74.4% self-reported a history of CT. The majority (92.7%) of participants who had a diagnosis of CT in their EHRs reported a past CT infection. Conclusions Self-report in combination with IgG serum antibodies to CT may be a more reliable indicator of past CT than EHRs in settings without comprehensive EHRs.

Indexed as

Antibodies, BacterialChlamydia InfectionsChlamydia trachomatisElectronic Health RecordsHomosexuality, MaleImmunoglobulin GSelf ReportAdultCohort StudiesCross-Sectional StudiesEnzyme-Linked Immunosorbent AssayHumansMaleMiddle AgedReproducibility of ResultsWashingtonAntibodies, BacterialImmunoglobulin G

Identifiers

PMID39621456
PMCPMC11913551

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