Evidence map›Paper›PMID 38500064›Full record

ArticleBMC genomics2024

Antimicrobial resistance and heterogeneity of Neisseria gonorrhoeae isolated from patients attending sexually transmitted infection clinics in Lusaka, Zambia.

Kelvin Lutambo Sarenje, Marco van Zwetselaar, Happiness Kumburu, Tolbert Sonda, Blandina Mmbaga, Owen Ngalamika, Margaret C Maimbolwa, Amon Siame, Sody Munsaka, Geoffrey Kwenda

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genomics, 2024. 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
1.7field-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

1 citing paper in PubMed, 5 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

10 authors at 4 institutions in 2 countries.

Kelvin Lutambo SarenjeDepartment of Biomedical Sciences, School of Health Sciences, University of Zambia, Lusaka, P.O. Box 50110, Zambia. kelvinsarenje@gmail.com.
Marco van ZwetselaarKilimanjaro Clinical Research Institute, Moshi, Kilimanjaro, Tanzania.
Happiness KumburuKilimanjaro Clinical Research Institute, Moshi, Kilimanjaro, Tanzania.
Tolbert SondaKilimanjaro Clinical Research Institute, Moshi, Kilimanjaro, Tanzania.
Blandina MmbagaKilimanjaro Clinical Research Institute, Moshi, Kilimanjaro, Tanzania.
Owen NgalamikaDepartment of Dermato-venereology, University Teaching Hospital, Lusaka, Zambia.
Margaret C MaimbolwaDepartment of Midwifery Child, and Women's Health, School of Nursing Sciences, University of Zambia, Lusaka, Zambia.
Amon SiameCentre for Infectious Disease Research in Zambia, Lusaka, Zambia.
Sody MunsakaDepartment of Biomedical Sciences, School of Health Sciences, University of Zambia, Lusaka, P.O. Box 50110, Zambia.
Geoffrey KwendaDepartment of Biomedical Sciences, School of Health Sciences, University of Zambia, Lusaka, P.O. Box 50110, Zambia.
Kilimanjaro Christian Medical Centre · TZUniversity of Zambia · ZMCentre for Infectious Disease Research in Zambia · ZMUniversity Teaching Hospital · ZM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntimicrobial resistance (AMR) of Neisseria gonorrhoeae is a threat to public health as strains have developed resistance to antimicrobials available for the treatment of gonorrhea. Whole genome sequencing (WGS) can detect and predict antimicrobial resistance to enhance the control and prevention of gonorrhea. Data on the molecular epidemiology of N. gonorrhoeae is sparse in Zambia. This study aimed to determine the genetic diversity of N. gonorrhoeae isolated from patients attending sexually transmitted infection (STI) clinics in Lusaka, Zambia.

methodsA cross-sectional study that sequenced 38 N. gonorrhoeae isolated from 122 patients with gonorrhea from 2019 to 2020 was conducted. The AMR profiles were determined by the E-test, and the DNA was extracted using the NucliSens easyMaG magnetic device. Whole genome sequencing was performed on the Illumina NextSeq550 platform. The Bacterial analysis pipeline (BAP) that is readily available at: https://cge.cbs.dtu.dk/services/CGEpipeline-1.1 was used for the identification of the species, assembling the genome, multi-locus sequence typing (MLST), detection of plasmids and AMR genes. Phylogeny by single nucleotide polymorphisms (SNPs) was determined with the CCphylo dataset.

resultsThe most frequent STs with 18.4% of isolates each were ST

conclusionThis study revealed remarkable heterogeneity of N. gonorrhoeae with bla

Indexed as

Anti-Bacterial AgentsGonorrheaCiprofloxacinCross-Sectional StudiesDrug Resistance, BacterialHumansMicrobial Sensitivity TestsMultilocus Sequence TypingNeisseria gonorrhoeaePenicillinsTetracyclineZambiaAnti-Bacterial AgentsCiprofloxacinPenicillinsTetracyclineAntimicrobial resistanceMolecular epidemiologyNeisseria gonorrhoeaeTypingWhole-genome sequencingZambia

Identifiers

PMID38500064
PMCPMC10949682
OpenAlexW4392927566

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.