Evidence map›Paper›PMID 38937706›Full record

ArticleBMC public health2024

Integrated surveillance systems for antibiotic resistance in a One Health context: a scoping review.

Léo Delpy, Chloe Clifford Astbury, Cécile Aenishaenslin, Arne Ruckert, Tarra L Penney, Mary Wiktorowicz, Mamadou Ciss, Ria Benko, Marion Bordier

Abstract readScoping Review
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

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

  1. Pooled it
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  6. Pathogens (Basel, Switzerland) · 2026
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  10. Methicillin-ResistantInternational journal of molecular sciences · 2026
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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

9 authors.

Léo DelpyASTRE, University of Montpellier, CIRAD, INRAE, Montpellier, France.
Chloe Clifford AstburyGlobal Food Systems & Policy Research, School of Global Health, York University, Toronto, Canada.
Cécile AenishaenslinResearch Group On Epidemiology of Zoonoses and Public Health (GREZOSP), University of Montréal, Saint-Hyacinthe, Québec, Canada.
Arne RuckertSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada.
Tarra L PenneyGlobal Food Systems & Policy Research, School of Global Health, York University, Toronto, Canada.
Mary WiktorowiczDahdaleh Institute for Global Health Research, York University, Toronto, Canada.
Mamadou CissNational Laboratory for Livestock and Veterinary Research, Senegalese Institute of Research in Agriculture, Dakar, Senegal.
Ria BenkoInstitute of Clinical Pharmacy, University of Szeged, Szeged, Hungary.
Marion BordierASTRE, University of Montpellier, CIRAD, INRAE, Montpellier, France. marion.bordier@cirad.fr.

Funding

Agence Nationale de la Recherche ANR-21-AAMR-0002-03CIHR 3468277
6 · The paper itself

Abstract

backgroundAntibiotic resistance (ABR) has emerged as a major threat to health. Properly informed decisions to mitigate this threat require surveillance systems that integrate information on resistant bacteria and antibiotic use in humans, animals, and the environment, in line with the One Health concept. Despite a strong call for the implementation of such integrated surveillance systems, we still lack a comprehensive overview of existing organizational models for integrated surveillance of ABR. To address this gap, we conducted a scoping review to characterize existing integrated surveillance systems for ABR.

methodsThe literature review was conducted using the PRISMA guidelines. The selected integrated surveillance systems were assessed according to 39 variables related to their organization and functioning, the socio-economic and political characteristics of their implementation context, and the levels of integration reached, together with their related outcomes. We conducted two distinct, complementary analyses on the data extracted: a descriptive analysis to summarize the characteristics of the integrated surveillance systems, and a multiple-correspondence analysis (MCA) followed by a hierarchical cluster analysis (HCA) to identify potential typology for surveillance systems.

resultsThe literature search identified a total of 1330 records. After the screening phase, 59 references were kept from which 14 integrated surveillance systems were identified. They all operate in high-income countries and vary in terms of integration, both at informational and structural levels. The different systems combine information from a wide range of populations and commodities -in the human, animal and environmental domains, collection points, drug-bacterium pairs, and rely on various diagnostic and surveillance strategies. A variable level of collaboration was found for the governance and/or operation of the surveillance activities. The outcomes of integration are poorly described and evidenced. The 14 surveillance systems can be grouped into four distinct clusters, characterized by integration level in the two dimensions. The level of resources and regulatory framework in place appeared to play a major role in the establishment and organization of integrated surveillance.

conclusionsThis study suggests that operationalization of integrated surveillance for ABR is still not well established at a global scale, especially in low and middle-income countries and that the surveillance scope is not broad enough to obtain a comprehensive understanding of the complex dynamics of ABR to appropriately inform mitigation measures. Further studies are needed to better characterize the various integration models for surveillance with regard to their implementation context and evaluate the outcome of these models.

Indexed as

One HealthAnti-Bacterial AgentsDrug Resistance, MicrobialHumansPopulation SurveillanceAnti-Bacterial AgentsAntibiotic resistanceIntegratedOne HealthReviewSurveillance

Identifiers

PMID38937706
PMCPMC11210117

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.