Evidence map›Paper›PMID 42740798›Full record

ArticleClinical and public health guidelines2026

Incorporating Antimicrobial Resistance Considerations in Antimicrobial Evidence-Based Practice Guidelines: A Protocol for the Development of a Checklist and Multifaceted Appraisal of Existing Guidelines.

Sara Ibrahim, Mark Loeb, Jessica Bartoszko, Maryam Ghadimi, Gordon Guyatt, Benedikt Huttner, Alfonso Iorio, Dominik Mertz, Lorenzo Moja, Gabriel Rada and 5 more

Abstract read
In one paragraph

Article in Clinical and public health guidelines, 2026. 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. Article
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.

Sara IbrahimDepartment of Health Research Methods, Evidence, and Impact McMaster University Hamilton Canada.ORCID https://orcid.org/0000-0002-7713-6171
Mark LoebDepartment of Health Research Methods, Evidence, and Impact McMaster University Hamilton Canada.
Jessica BartoszkoDepartment of Health Research Methods, Evidence, and Impact McMaster University Hamilton Canada.
Maryam GhadimiDepartment of Health Research Methods, Evidence, and Impact McMaster University Hamilton Canada.ORCID https://orcid.org/0009-0001-6582-5455
Gordon GuyattDepartment of Health Research Methods, Evidence, and Impact McMaster University Hamilton Canada.
Benedikt HuttnerAntimicrobial Resistance Division World Health Organization Geneva Switzerland.
Alfonso IorioDepartment of Health Research Methods, Evidence, and Impact McMaster University Hamilton Canada.
Dominik MertzDepartment of Health Research Methods, Evidence, and Impact McMaster University Hamilton Canada.ORCID https://orcid.org/0000-0003-4337-1613
Lorenzo MojaHealth Products Policy and Standards World Health Organization Geneva Switzerland.
Gabriel RadaEpistemonikos Foundation Santiago Chile.
Pilar Ramon-PardoPan American Health Organization Washington DC USA.
Ludovic ReveizPan American Health Organization Washington DC USA.
Gerard WrightDepartment of Biochemistry & Biomedical Sciences, David Braley Center for Antibiotic Discovery, Michael G. DeGroote Institute for Infectious Disease Research McMaster University Hamilton Canada.
Nancy SantessoDepartment of Health Research Methods, Evidence, and Impact McMaster University Hamilton Canada.
Romina Brignardello-PetersenDepartment of Health Research Methods, Evidence, and Impact McMaster University Hamilton Canada.ORCID https://orcid.org/0000-0002-6010-9900

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Antimicrobial resistance (AMR) is a widely recognized threat to global health, mainly driven by the inappropriate use of antimicrobials. Recommendations from evidence-based practice guidelines (EBPGs) can promote appropriate antimicrobial use. Currently, no guidance exists for considering AMR in EBPGs. This is the protocol for two studies that aim to (1) develop a checklist of AMR considerations for EBPGs and (2) conduct a case study to evaluate existing EBPGs regarding the extent to which AMR is considered among other methodological assessments. Methods: Using the Delphi technique, we will consult with individuals from four interest-holder groups to develop and refine a checklist of AMR considerations for EBPGs. To assess EBPGs, we will search various databases for guidelines on four prioritized syndromes (i.e., community-acquired pneumonia, urinary tract infection, skin and soft tissue infections and exacerbations of chronic obstructive pulmonary disease). We will screen articles in duplicate and in stages to include EBPGs for the prioritized syndromes and will use piloted data extraction forms to extract characteristics of the EBPGs. For each EBPG, we will evaluate whether AMR was considered (using the developed checklist), its trustworthiness (i.e., methodological quality) (using the modified National Guideline Clearinghouse Extent of Adherence to Trustworthy Standards instrument) and its adaptability (using items from existing adaptability frameworks). Discussion: This work will develop a checklist of AMR considerations for EBPGs and evaluate a subsequent sample of EBPGs to investigate the extent to which AMR is considered. Furthermore, by conducting a methodological appraisal of trustworthiness and adaptability, this study will contextualize results to promote the uptake and appropriate interpretation of existing guidelines. Thus, these findings will be useful to decision-makers as well as guideline development groups as they highlight what existing work can be trusted and leveraged while also identifying what limitations and gaps need to be addressed.

Indexed as

antimicrobial resistancecritical appraisalguideline development

Identifiers

PMID42740798
PMCPMC13563331

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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.