Evidence map›Paper›PMID 39546786›Full record

ArticleJMIR research protocols2024

Progress of Implementation of World Health Organization Global Antimicrobial Resistance Surveillance System Recommendations on Priority Pathogen-Antibiotic Sensitivity Testing in Africa: Protocol for a Scoping Review.

Mackline Hope, Reuben Kiggundu, Dathan M Byonanebye, Jonathan Mayito, Dickson Tabajjwa, Fahad Lwigale, Conrad Tumwine, Herman Mwanja, Andrew Kambugu, Francis Kakooza

Abstract read
In one paragraph

Article in JMIR research protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
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.

Mackline Hope *Infectious Diseases Institute, Kampala, Uganda.ORCID 0000-0002-2593-8930
Reuben Kiggundu *Infectious Diseases Institute, Kampala, Uganda.ORCID 0000-0001-6141-9436
Dathan M Byonanebye *Infectious Diseases Institute, Kampala, Uganda.ORCID 0000-0001-9862-4724
Jonathan Mayito *Infectious Diseases Institute, Kampala, Uganda.ORCID 0000-0001-9611-2178
Dickson Tabajjwa *Infectious Diseases Institute, Kampala, Uganda.ORCID 0009-0001-3850-3637
Fahad LwigaleInfectious Diseases Institute, Kampala, Uganda.ORCID 0000-0002-1149-7820
Conrad TumwineInfectious Diseases Institute, Kampala, Uganda.ORCID 0000-0002-1892-9665
Herman MwanjaInfectious Diseases Institute, Kampala, Uganda.ORCID 0009-0003-8085-1015
Andrew Kambugu *Infectious Diseases Institute, Kampala, Uganda.ORCID 0000-0002-3075-0211
Francis Kakooza *Infectious Diseases Institute, Kampala, Uganda.ORCID 0000-0003-4047-6620

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundAntimicrobial resistance (AMR) is a major global public health concern, particularly in low- and middle-income countries where resources and infrastructure for an adequate response are limited. The World Health Organization (WHO) Global Antimicrobial Resistance Surveillance System (GLASS) was introduced in 2016 to address these challenges, outlining recommendations for priority pathogen-antibiotic combinations. Despite this initiative, implementation in Africa remains understudied. This scoping review aims to assess the current state of implementing WHO GLASS recommendations on antimicrobial sensitivity testing (AST) in Africa.

objectiveThe primary objective of this study is to determine the current state of implementing the WHO GLASS recommendations on AST for priority pathogen-antimicrobial combinations. The review will further document if the reporting of AST results is according to "susceptible," "intermediate," and "resistant" recommendations according to GLASS.

methodsFollowing the methodological framework by Arksey and O'Malley, studies published between January 2016 and November 2023 will be included. Search strategies will target electronic databases, including MEDLINE, Scopus, CINAHL, and Embase. Eligible studies will document isolates tested for antimicrobial sensitivity, focusing on WHO-priority specimens and pathogens. Data extraction will focus on key study characteristics, study context, population, and adherence to WHO GLASS recommendations on AST. Descriptive statistics involving summarizing the quantitative data extracted through measures of central tendency and variation will be used. Covidence and Microsoft Excel software will be used. This study will systematically identify, collate, and analyze relevant studies and data sources based on clear inclusion criteria to provide a clear picture of the progress achieved in the implementation of the WHO GLASS recommendations. Areas for further improvement will be documented to inform future efforts to strengthen GLASS implementation for enhanced AMR surveillance in Africa.

resultsThe study results are expected in August 2024.

conclusionsTo our knowledge, this scoping review will be the first to comprehensively examine the implementation of WHO GLASS recommendations in Africa, shedding light on the challenges and successes of AMR surveillance in the region. Addressing these issues aims to contribute to global efforts to combat AMR. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/58140.

Indexed as

Microbial Sensitivity TestsWorld Health OrganizationAfricaAnti-Bacterial AgentsDrug Resistance, BacterialHumansScoping Reviews as TopicAnti-Bacterial AgentsAfricaAMR Surveillanceantibiotic sensitivity testingantimicrobial resistanceGLASS implementationglobal antimicrobial resistance surveillance system

Identifiers

PMID39546786
PMCPMC11607573

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.