Evidence map›Paper›PMID 29514279›Full record

ReviewThe Journal of antimicrobial chemotherapy2018

An inventory of supranational antimicrobial resistance surveillance networks involving low- and middle-income countries since 2000.

Elizabeth A Ashley, Judith Recht, Arlene Chua, David Dance, Mehul Dhorda, Nigel V Thomas, Nisha Ranganathan, Paul Turner, Philippe J Guerin, Nicholas J White and 1 more

Abstract readReview
In one paragraph

Review in The Journal of antimicrobial chemotherapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

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

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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

11 authors.

Elizabeth A AshleyMyanmar-Oxford Clinical Research Unit (MOCRU), Yangon, Myanmar.
Judith RechtMahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Arlene ChuaInstitute of Infectious Diseases and Epidemiology, Tan Tock Seng Hospital, Singapore.
David DanceCentre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK.
Mehul DhordaCentre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK.
Nigel V ThomasCentre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK.
Nisha RanganathanImperial College, London, UK.
Paul TurnerCentre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK.
Philippe J GuerinCentre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK.
Nicholas J WhiteCentre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK.
Nicholas P DayCentre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK.

Funding

Department of HealthWellcome Trust
6 · The paper itself

Abstract

Low- and middle-income countries (LMICs) shoulder the bulk of the global burden of infectious diseases and drug resistance. We searched for supranational networks performing antimicrobial resistance (AMR) surveillance in LMICs and assessed their organization, methodology, impacts and challenges. Since 2000, 72 supranational networks for AMR surveillance in bacteria, fungi, HIV, TB and malaria have been created that have involved LMICs, of which 34 are ongoing. The median (range) duration of the networks was 6 years (1-70) and the number of LMICs included was 8 (1-67). Networks were categorized as WHO/governmental (n = 26), academic (n = 24) or pharma initiated (n = 22). Funding sources varied, with 30 networks receiving public or WHO funding, 25 corporate, 13 trust or foundation, and 4 funded from more than one source. The leading global programmes for drug resistance surveillance in TB, malaria and HIV gather data in LMICs through periodic active surveillance efforts or combined active and passive approaches. The biggest challenges faced by these networks has been achieving high coverage across LMICs and complying with the recommended frequency of reporting. Obtaining high quality, representative surveillance data in LMICs is challenging. Antibiotic resistance surveillance requires a level of laboratory infrastructure and training that is not widely available in LMICs. The nascent Global Antimicrobial Resistance Surveillance System (GLASS) aims to build up passive surveillance in all member states. Past experience suggests complementary active approaches may be needed in many LMICs if representative, clinically relevant, meaningful data are to be obtained. Maintaining an up-to-date registry of networks would promote a more coordinated approach to surveillance.

Indexed as

Drug Resistance, MicrobialGlobal HealthPublic Health SurveillanceDeveloping CountriesGovernment ProgramsHIV InfectionsHumansMalariaPovertyTuberculosisWorld Health Organization

Identifiers

PMID29514279
PMCPMC6005144

What OpenQuestion holds

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LicenceCC BY
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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.