Evidence map›Paper›PMID 33280046›Full record

ReviewThe Journal of antimicrobial chemotherapy2020

White Paper: Bridging the gap between human and animal surveillance data, antibiotic policy and stewardship in the hospital sector-practical guidance from the JPIAMR ARCH and COMBACTE-MAGNET EPI-Net networks.

Maria Diletta Pezzani, Elena Carrara, Marcella Sibani, Elisabeth Presterl, Petra Gastmeier, Hanna Renk, Souha S Kanj, Thirumalaisamy P Velavan, Le Huu Song, Leonard Leibovici and 5 more

Abstract readReviewConsensus Statement
In one paragraph

Review in The Journal of antimicrobial chemotherapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

15 authors.

Maria Diletta PezzaniInfectious Diseases Section, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
Elena CarraraInfectious Diseases Section, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
Marcella SibaniInfectious Diseases Section, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
Elisabeth PresterlEuropean Committee on Infection Control, Basel, Switzerland.
Petra GastmeierGerman Centre for Infection Research Association (DZIF), Braunschweig, Germany.
Hanna RenkUniversity Children's Hospital Tübingen, Department of Paediatric Cardiology, Pulmology and Intensive Care Medicine, Tübingen, Germany.
Souha S KanjDivision of Infectious Diseases, Department of Internal Medicine, and Infection Control and Prevention Program, and Antimicrobial Stewardship Program, American University of Beirut Medical Center, Beirut, Lebanon.
Thirumalaisamy P VelavanInstitute of Tropical Medicine, Universitätsklinikum Tübingen, Germany.
Le Huu SongVietnamese German Center for Medical Research, Hanoi, Vietnam.
Leonard LeiboviciMedicine E, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel.
Didem TorumkuneyInternational Federation of Pharmaceuticals and Manufacturers & Associations (IFPMA), Geneva, Switzerland.
Tomislav KostyanevDepartment of Medical Microbiology, Vaccine & Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.
Marc MendelsonDivision of Infectious Diseases and HIV Medicine, Department of Medicine, University of Cape Town, Cape Town, South Africa.
Evelina TacconelliInfectious Diseases Section, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.
ARCH working group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntimicrobial surveillance and antimicrobial stewardship (AMS) are essential pillars in the fight against antimicrobial resistance (AMR), but practical guidance on how surveillance data should be linked to AMS activities is lacking. This issue is particularly complex in the hospital setting due to structural heterogeneity of hospital facilities and services. The JPIAMR ARCH and COMBACTE-MAGNET EPI-Net networks have joined efforts to formulate a set of target actions for linking surveillance data with AMS activities.

methodsA scoping review of the literature was carried out addressing research questions on three areas: (i) AMS leadership and accountability; (ii) antimicrobial usage and AMS; (iii) AMR and AMS. Consensus on the target actions was reached through a RAND-modified Delphi process involving over 40 experts in different fields from 18 countries.

resultsEvidence was retrieved from 51 documents. Initially 38 targets were proposed, differentiated as essential or desirable according to clinical relevance, feasibility and applicability to settings and resources. In the first consultation round, preliminary agreement was reached for 32 targets. Following a second consultation, 27 targets were approved, 11 were deleted and 4 were suggested for rephrasing, leading to a final approved list of 34 target actions in the form of a practical checklist.

conclusionsThis White Paper provides a pragmatic and flexible tool to guide the development of calibrated hospital-surveillance-based AMS interventions. The strength of this tool is that it is a comprehensive perspective that takes into account the hospital patient case-mix and the related epidemiology, which ultimately drives antimicrobial usage, and the feasibility in low-resource settings.

Indexed as

Anti-Bacterial AgentsAntimicrobial StewardshipAnimalsHospitalsHumansMagnetsPolicyAnti-Bacterial Agents

Identifiers

PMID33280046
PMCPMC7719407

What OpenQuestion holds

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LicenceCC BY-NC
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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.