Evidence map›Paper›PMID 40305457›Full record

ArticlePLOS global public health2025

Association between national action and trends in antibiotic resistance: an analysis of 73 countries from 2000 to 2023.

Peter Søgaard Jørgensen, Luong Nguyen Thanh, Ege Pehlivanoğlu, Franziska Klein, Didier Wernli, Dusan Jasovsky, Athena Aktipis, Robert R Dunn, Yrjö Gröhn, Guillaume Lhermie and 2 more

Abstract read
In one paragraph

Article in PLOS global public health, 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. Review
  3. Observational
  4. Antibiotic stewardship: what for?Frontiers in antibiotics · 2025
    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

12 authors.

Peter Søgaard JørgensenGlobal Economic Dynamics and the Biosphere, The Royal Swedish Academy of Sciences, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-2621-378X
Luong Nguyen ThanhGlobal Economic Dynamics and the Biosphere, The Royal Swedish Academy of Sciences, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-9270-9345
Ege PehlivanoğluGlobal Economic Dynamics and the Biosphere, The Royal Swedish Academy of Sciences, Stockholm, Sweden.ORCID https://orcid.org/0009-0002-9001-9057
Franziska KleinGlobal Economic Dynamics and the Biosphere, The Royal Swedish Academy of Sciences, Stockholm, Sweden.
Didier WernliGlobal Studies Institute, Transformative Governance Lab, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0002-1751-1961
Dusan JasovskyReAct Europe, Uppsala University, Uppsala, Sweden.
Athena AktipisDepartment of Psychology, Arizona State University, Arizona, United States of America.
Robert R DunnDepartment of Applied Ecology, North Carolina State University, Raleigh, North Carolina, United States of America.
Yrjö GröhnDepartment of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, New York, United States of America.
Guillaume LhermieDepartment of Population Medicine and Diagnostic Sciences, Cornell University, Ithaca, New York, United States of America.ORCID https://orcid.org/0000-0003-2538-1586
H Morgan ScottDepartment of Veterinary Pathobiology, Texas A&M University, College Station, Texas, United States of America.ORCID https://orcid.org/0000-0002-0538-5961
Eili Y KleinOne Health Trust, Washington, District of Columbia, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The world's governments have agreed on actions to address the challenge of antibiotic resistance. This raises the question of what level of national action is associated with improved outcomes, including both slower growth and lower levels of antibiotic resistance. Answering this question is challenged by variation in data availability and quality as well as disruptive events such as the COVID-19 pandemic. We investigate the association between level of national action and temporal trends in multiple indicators related to health system capacity, antibiotic use (ABU), absolute rates of resistance (ABR) and a Drug Resistance Index (DRI). Using the Global Database for Tracking Antimicrobial Resistance (TrACSS) to construct an index of national action, we apply cross-sectional regression across 73 countries to estimate the association between the level of action in 2016 and trends in national indicators (2000-2016). We find that national action is consistently associated with improved linear or categorical trends in all groups of indicators. Reductions are associated with a relatively high action index (range 0-4) for ABU (median 2.8, 25-75% quartile 2.6-3.3), ABR (3.0, 2.4-3.4), and DRI (3.5, 3.1-3.6). These associations are robust to the inclusion of other contextual factors related to socio-economic conditions, human population density, animal production and climate. Since 2016, a majority of both Low- and Middle-Income Countries (LMICs) and High-Income Countries (HICs) report increased action on repeated questions, while one third of countries report reduced action. The main limitations in interpretation are heterogeneity in data availability and in when actions have been implemented. Our findings highlight the importance of national action to address the domestic situation related to antibiotic resistance and indicate the value of both incremental changes in reducing adversity of outcomes and the need for high levels of action in delivering reduced levels of resistance.

Identifiers

PMID40305457
PMCPMC12043137

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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.