Evidence map›Paper›PMID 38489281›Full record

ArticlePloS one2024

Antibiotic overuse, poor antimicrobial stewardship, and low specificity of syndromic case management in a cross section of men with urethral discharge syndrome in Kampala, Uganda.

Matthew M Hamill, Annet Onzia, Rosalind M Parkes-Ratanshi, Peter Kyambadde, Emmanuel Mande, Vivian Nakate, Johan H Melendez, Ethan Gough, Yukari C Manabe

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 3 institutions in 2 countries.

Matthew M HamillDivision of infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, United States of America.ORCID 0000-0002-1277-819X
Annet OnziaInfectious Disease Institute, Kampala, Uganda.
Rosalind M Parkes-RatanshiInfectious Disease Institute, Kampala, Uganda.
Peter KyambaddeMinistry of Health, National Sexually Transmitted Infections Control Program, Kampala, Uganda.
Emmanuel MandeInfectious Disease Institute, Kampala, Uganda.ORCID 0000-0003-0587-8181
Vivian NakateInfectious Disease Institute, Kampala, Uganda.
Johan H MelendezDivision of infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, United States of America.
Ethan GoughJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America.
Yukari C ManabeDivision of infectious Diseases, Johns Hopkins School of Medicine, Baltimore, MD, United States of America.
Infectious Diseases Institute · UGJohns Hopkins University · USMinistry of Health · UG

Funding

LC: HIV Prevention Trials Network - Laboratory Support for the SARS-CoV-2 Seroprevalence Study (CoVPN 5002)UM1AI068613 · NIAID · JOHNS HOPKINS UNIVERSITY · PI SUSAN H ESHLEMAN, Mark A Marzinke · 2011 to 2026
$100.2M
TrainingU54EB007958 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI Yukari C Manabe · 2007 to 2026
$34.6M
HIV Co-infections in Uganda: TB, Cryptococcus, and Viral Hepatitis.D43TW009771 · FIC · JOHNS HOPKINS UNIVERSITY · PI CASTELNUOVO, BARBARA, KAMBUGU, ANDREW DDUNGU · 2014 to 2023
$3.3M
NIBIB NIH HHS U54 EB007958
6 · The paper itself

Abstract

objectiveHigh prevalence of sexually transmitted infections (STIs) combined with poor antimicrobial stewardship are drivers of STI antimicrobial resistance (AMR) especially in resource-limited settings where syndromic case management (SCM) is the norm. We characterized patterns of antibiotic use prior to clinic attendance and study enrollment in Ugandan men with urethral discharge syndrome (UDS), evaluated in-clinic prescribing, and the performance characteristics of SCM.

methodsParticipants were recruited from government clinics participating in an existing gonococcal surveillance program in Kampala, Uganda. Questionnaires including antimicrobial use prior to attendance, prior episodes of UDS, penile swabs, and blood samples were collected. Bivariable and multivariable logistic regression models were used to estimate odds ratios (OR) for preselected factors likely to be associated with antibiotic use. In-clinic antibiotic treatment data were extracted from clinical notes, and the performance of SCM against laboratory-based STI diagnoses was evaluated.

findingsBetween October 2019 and November 2020, 100(40%) of 250 men with UDS reported taking antibiotics in the 14days prior to attending the clinic. Of these 210(84%) had at least one curable STI and 20% had a reactive point-of-care HIV test. Multivariable analysis demonstrated significant associations between recent antimicrobial use and duration of UDS symptoms <6 days (OR 2.98(95%CI 1.07,8.36), p = 0.038), and sex with women only (OR 0.08(95%CI 0.01,0.82),p = 0.038). The sensitivity of SCM ranged from 80.0% to 94.4%; specificity was low between 5.6% and 33.1%. The positive predictive value of SCM ranged from 2.4(95%CI 0.7,6.0) for trichomoniasis to 63.4(95%CI 56.5,69.9) for gonorrhea.

conclusionPre-enrollment antibiotic use was common in this population at high risk of STI and HIV. Combined with the poor specificity of SCM for male UDS, extensive antibiotic use is a likely driver of STI-AMR in Ugandan men. Interventions to improve antimicrobial stewardship and deliver affordable diagnostics to augment SCM and decrease overtreatment of STI syndromes are required.

Indexed as

Antimicrobial StewardshipGonorrheaHIV InfectionsSexually Transmitted DiseasesUrethral DiseasesAnti-Bacterial AgentsCase ManagementFemaleHumansMalePrevalenceUgandaAnti-Bacterial Agents

Identifiers

PMID38489281
PMCPMC10942085
OpenAlexW4392861746

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.