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Meta-Analysis
. 2022 Jan 28;19(3):1520.
doi: 10.3390/ijerph19031520.

The Prevalence of Antimicrobial Resistant Neisseria gonorrhoeae in Papua New Guinea: A Systematic Review and Meta-Analysis

Barne Willie  1   2 , Emma L Sweeney  1 , Steven G Badman  3 , Mark Chatfield  4 , Andrew J Vallely  2   3 , Angela Kelly-Hanku  2   3 , David M Whiley  1   5
Affiliations
Meta-Analysis

The Prevalence of Antimicrobial Resistant Neisseria gonorrhoeae in Papua New Guinea: A Systematic Review and Meta-Analysis

Barne Willie et al. Int J Environ Res Public Health. .

Abstract

Neisseria gonorrhoeae antimicrobial resistance (NG AMR) has become an urgent concern globally. The World Health Organization, the United States of America Centers for Disease Control, and other regulators have called to improve resistance-testing methods to enhance NG AMR surveillance. NG AMR surveillance remains critical in informing treatment; unfortunately, this is often lacking in settings with limited resources, such as Papua New Guinea (PNG). We conducted a systematic review and a prevalence meta-analysis, and provided an overview of NG AMR in PNG. We showed the lack of NG AMR data in the last decade, and emphasized the need for NG AMR surveillance in PNG. Since NG AMR testing by the NG culture method is unreliable in PNG, we suggested using molecular tests to complement and enhance NG AMR surveillance.

Keywords: Neisseria gonorrhoea; Papua New Guinea; antimicrobial resistance; surveillance.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
PRISMA [19] flow chart of article search, article inclusion and exclusion, and the number of studies included in this study-systematic review and meta-analysis.
Figure 2
Figure 2
Penicillinase-producing N. gonorrhoeae positive strain prevalence estimate. Forest plots include the authors name, year of publication, year when samples were collected, number of cases reported, sample size employed, proportion, 95% CI, and sample weights. Diamond symbol at the bottom is the pooled estimate.
Figure 3
Figure 3
Chromosomally-mediated resistance to penicillin prevalence estimate.
Figure 4
Figure 4
Tetracycline resistance prevalence estimate.
Figure 5
Figure 5
Quinolone (ciprofloxacin) resistance prevalence estimate.
Figure 6
Figure 6
Spectinomycin resistance prevalence estimate.
Figure 7
Figure 7
Cephalosporin resistance prevalence estimate.
See this image and copyright information in PMC

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References

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