Evidence map›Paper›PMID 40961012›Full record

ArticlePloS one2025

Canada's 2025 AMR priority pathogens: Evidence-based ranking and public health implications.

Kahina Abdesselam, Raymond-Jonas Ngendabanka, Pia K Muchaal, Kanchana Amaratunga, Aanchal Mishra, Rashmi Narkar, Anna-Louise Crago, Tanya Lary

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Healthcare-associated infections and antimicrobial resistance in Canadian acute care hospitals, 2020-2024.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2026
    Article
  4. 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

8 authors.

Kahina AbdesselamAntimicrobial Resistant Task Force, Public Health Agency of Canada, Ottawa, Ontario, Canada.ORCID 0000-0003-0929-0422
Raymond-Jonas NgendabankaAntimicrobial Resistant Task Force, Public Health Agency of Canada, Ottawa, Ontario, Canada.ORCID 0009-0006-5252-1256
Pia K MuchaalAntimicrobial Resistant Task Force, Public Health Agency of Canada, Ottawa, Ontario, Canada.
Kanchana AmaratungaAntimicrobial Resistant Task Force, Public Health Agency of Canada, Ottawa, Ontario, Canada.
Aanchal MishraAntimicrobial Resistant Task Force, Public Health Agency of Canada, Ottawa, Ontario, Canada.
Rashmi NarkarApplied Public Health Sciences Directorate, Public Health Agency of Canada, Ottawa, Ontario Canada.
Anna-Louise CragoAntimicrobial Resistant Task Force, Public Health Agency of Canada, Ottawa, Ontario, Canada.
Tanya LaryAntimicrobial Resistant Task Force, Public Health Agency of Canada, Ottawa, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntimicrobial resistance (AMR) is a growing global health threat that undermines the effectiveness of treatments and the sustainability of health systems. In 2015, Canada published its first AMR pathogen prioritization list, which laid the foundation for the Canadian Antimicrobial Resistance Surveillance System (CARSS). Since then, evolving resistance patterns, newly emerging pathogens, and enhanced surveillance capacity have prompted a comprehensive update to identify the most pressing AMR threats in the Canadian context.

objectiveTo undertake a systematic and reproducible prioritization process, leveraging nationally representative Canadian data, and to identify the most pressing AMR threats. This risk prioritization aims to inform surveillance strategies, which then lends itself to infection prevention and control measures, stewardship initiatives, and research and innovation directions.

methodsA total of 155 pathogens identified as potential threats to Canadians were assessed to determine whether AMR posed a significant concern. Pathogens selected for further evaluation underwent a multi-criteria decision analysis (MCDA) using Canadian data from 2017 to 2022. Nine prioritization criteria, including health equity introduced for the first time, were used to evaluate and rank pathogens based on their risk to public health. Weights were assigned to each criterion, informed by expert consensus, to reflect their relative importance. A sensitivity analysis was conducted to test the robustness of the rankings under different weighting scenarios, ensuring the reliability of the top-ranked AMR pathogens in Canada.

resultsTwenty-nine AMR pathogens were ascertained as significant risks to Canadians and categorized into four tiers based on incidence, treatability, transmission, and health equity. Tier 1 pathogens, including Carbapenem-resistant Enterobacterales, Candida auris, Drug-resistant Neisseria gonorrhoeae, and Drug-resistant Shigella spp., pose the highest risk due to limited treatment options, potentially higher morbidity and mortality, and disproportionate impacts on marginalized populations. The prioritization of N. gonorrhea and Drug-resistant Shigella spp. along with the inclusion of Mycoplasma genitalium in Tier 2 highlight growing concerns in sexually transmitted infections (STIs). These findings underscore the need for continued enhanced surveillance, targeted interventions, and a health equity lens in AMR prioritization.

conclusionThis updated prioritization provides a robust, equity-informed framework to guide AMR surveillance and responses in Canada. It identifies high-impact pathogens and surveillance areas, offering a strategic tool to support public health action and research.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialPublic HealthCanadaHumansAnti-Bacterial Agents

Identifiers

PMID40961012
PMCPMC12443280

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.