Evidence map›Paper›PMID 35525934›Full record

ArticleBMC infectious diseases2022

High burden of untreated syphilis, drug resistant Neisseria gonorrhoeae, and other sexually transmitted infections in men with urethral discharge syndrome in Kampala, Uganda.

Matthew M Hamill, Annet Onzia, Tza-Huei Wang, Agnes N Kiragga, Yu-Hsiang Hsieh, Rosalind Parkes-Ratanshi, Ethan Gough, Peter Kyambadde, Johan H Melendez, Yukari C Manabe

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

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  3. Distribution and Factors Associated withInfectious disease reports · 2025
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  10. Cluster analysis for symptomatic management ofFrontiers in public health · 2022
    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

10 authors at 3 institutions in 2 countries.

Matthew M HamillDivision of Infectious Disease, Johns Hopkins School of Medicine, 5200 Eastern Avenue, Mason F. Lord Center Tower, Suite 381, Baltimore, MD, 21224, USA. mhamill6@jhu.edu.
Annet OnziaInfectious Disease Institute, Kampala, Uganda.
Tza-Huei WangJohns Hopkins University, Baltimore, MD, USA.
Agnes N KiraggaInfectious Disease Institute, Kampala, Uganda.
Yu-Hsiang HsiehDivision of Infectious Disease, Johns Hopkins School of Medicine, 5200 Eastern Avenue, Mason F. Lord Center Tower, Suite 381, Baltimore, MD, 21224, USA.
Rosalind Parkes-RatanshiInfectious Disease Institute, Kampala, Uganda.
Ethan GoughJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Peter KyambaddeMinistry of Health, National Sexually Transmitted Infections Control Program, Kampala, Uganda.
Johan H MelendezDivision of Infectious Disease, Johns Hopkins School of Medicine, 5200 Eastern Avenue, Mason F. Lord Center Tower, Suite 381, Baltimore, MD, 21224, USA.
Yukari C ManabeDivision of Infectious Disease, Johns Hopkins School of Medicine, 5200 Eastern Avenue, Mason F. Lord Center Tower, Suite 381, Baltimore, MD, 21224, USA.
Johns Hopkins University · USInfectious Diseases Institute · UGMinistry of Health · UG

Funding

TrainingU54EB007958 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI Susan Anne Tuddenham · 2007 to 2026
$34.6M
NIBIB NIH HHS U54 EB007958NIBIB NIH HHS U54EB07958
6 · The paper itself

Abstract

objectivesPrompt diagnosis and treatment of sexually transmitted infections (STIs) are essential to combat the STI epidemic in resource-limited settings. We characterized the burden of 5 curable STIs chlamydia, gonorrhea, trichomoniasis, Mycoplasma genitalium, syphilis, and HIV infection in Ugandan men with urethritis.

methodsParticipants were recruited from a gonococcal surveillance program in Kampala, Uganda. Questionnaires, penile swabs were collected and tested by nucleic acid amplification. Gonococcal isolates were tested for antimicrobial sensitivity. Sequential point-of-care tests on blood samples were used to screen for syphilis and HIV. Bivariable and multivariable multinomial logistic regression models were used to estimate odds ratios for preselected factors likely to be associated with STIs. Adherence to STI treatment guidelines were analyzed.

resultsFrom October 2019 to November 2020, positivity (95% CI) for gonorrhea, chlamydia, trichomoniasis, and Mycoplasma genitalium, were 66.4% (60.1%, 72.2%), 21.7% (16.8%, 27.4%), 2.0% (0.7%, 4.9%), and 12.4% (8.7%, 17.3%) respectively. All Neisseria gonorrhoeae isolates were resistant to ciprofloxacin, penicillin, and tetracycline, but susceptible to extended spectrum cephalosporins and azithromycin. HIV and syphilis prevalence was 20.0% (50/250) and 10.0% (25/250), and the proportion unaware of their infection was 4.0% and 80.0% respectively. Most participants were treated per national guidelines. Multivariable analysis demonstrated significant associations between curable STI coinfections and younger age, transactional sex, but not HIV status, nor condom or alcohol use.

conclusionsSTI coinfections including HIV their associated risk factors, and gonococcal AMR were common in this population. The majority with syphilis were unaware of their infection and were untreated. Transactional sex was associated with STI coinfections, and > 80% of participants received appropriate treatment.

Indexed as

CoinfectionGonorrheaHIV InfectionsMycoplasma genitaliumSexually Transmitted DiseasesSyphilisTrichomonas InfectionsUrethral DiseasesAnti-Bacterial AgentsFemaleHumansMaleNeisseria gonorrhoeaePrevalenceUgandaAnti-Bacterial Agents

Identifiers

PMID35525934
PMCPMC9077641
OpenAlexW4229014124

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.