Evidence map›Paper›PMID 30580758›Full record

ArticleSystematic reviews2018

Effect of the duration of antimicrobial exposure on the development of antimicrobial resistance (AMR) for macrolide antibiotics: protocol for a systematic review with a network meta-analysis.

Titus H Divala, Elizabeth L Corbett, Helen R Stagg, Marriott Nliwasa, Derek J Sloan, Neil French, Katherine L Fielding

Abstract read
In one paragraph

Article in Systematic reviews, 2018. 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
–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

1 citing paper in PubMed.

  1. Antimicrobial Resistance in Equine Reproduction.Animals : an open access journal from MDPI · 2021
    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

7 authors.

Titus H DivalaLondon School of Hygiene & Tropical Medicine, Keppel Street, Bloomsbury, London, WC1E 7HT, UK. titus.divala@lshtm.ac.uk.ORCID 0000-0003-3029-9579
Elizabeth L CorbettLondon School of Hygiene & Tropical Medicine, Keppel Street, Bloomsbury, London, WC1E 7HT, UK.
Helen R StaggUsher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, EH8 9AG, UK.
Marriott NliwasaLondon School of Hygiene & Tropical Medicine, Keppel Street, Bloomsbury, London, WC1E 7HT, UK.
Derek J SloanSchool of Medicine, University of St Andrews, St Andrews, UK.
Neil FrenchInstitute of Infection & Global Health, University of Liverpool, Liverpool, UK.
Katherine L FieldingLondon School of Hygiene & Tropical Medicine, Keppel Street, Bloomsbury, London, WC1E 7HT, UK.

Funding

Medical Research Council MR/K012126/1Medical Research Council MR/R008345/1Wellcome Trust 200901/Z/16/Z
6 · The paper itself

Abstract

backgroundAntimicrobial resistance generates a huge health and economic burden and has the potential to become the leading cause of death globally, but its underlying drivers are yet to be fully described. The association between a microbe's exposure to antimicrobials and subsequent development of, or selection for, resistance is well documented, as are the exacerbating microbial and human factors. However, the nature and extent of this risk, and how it varies by antimicrobial class and duration of treatment, is poorly defined. The goal of our systematic review and network meta-analysis is to determine the relationship between the duration of antimicrobial exposure and selection for resistance. We will use macrolides as the antimicrobial class of interest and Streptococcus pneumoniae carriage as an indicator organism. Our secondary outcomes include duration of symptoms, risk of treatment failure and recurrence, and descriptions of resistance mechanisms.

methodsWe will conduct a systematic review, selecting studies if they are published randomised controlled trials (RCTs) which report the relationship between taking a macrolide for any indication and incidence of resistant Streptococcus pneumoniae in patients of any age group. We will use a predefined search strategy to identify studies meeting these eligibility criteria in MEDLINE, Embase, Global Health and the Cochrane Central Register of RCTs. Two authors will independently screen titles and abstracts, review the full texts and undertake data extraction. We will use the Cochrane Collaboration's tool to assess the quality of included RCTs. If feasible, we will perform pair-wise meta-analysis modelling to determine the relationship between the duration of macrolide treatment and development of macrolide resistant Streptococcus pneumoniae. If the identified studies meet the assumptions for a network meta-analysis (NMA), we will additionally model this relationship using indirect comparisons. Our protocol utilises reporting guidance by Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) and the extensions for protocols (PRISMA-P) and network meta-analyses (PRISMA for NMA). Our review will also report to these standards. DISCUSSION: Establishing the relationship between the duration of antimicrobial exposure and development of, or selection for, resistance will inform the design of antimicrobial prescriptions, treatment guidelines and the behaviour of both physicians and patients. This work will therefore be a strong contribution towards the full realisation of current antimicrobial resistance stewardship strategies. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42018089275.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialMacrolidesHumansNetwork Meta-Analysis as TopicRandomized Controlled Trials as TopicRecurrenceStreptococcus pneumoniaeSystematic Reviews as TopicTime FactorsTreatment FailureAnti-Bacterial AgentsMacrolidesAntimicrobial resistanceCarriageDisease recurrenceMacrolidesNetwork meta-analysisPrescriptionsResistance mechanismsStreptococcus pneumoniaeTreatment durationTreatment failure

Identifiers

PMID30580758
PMCPMC6304229

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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.