Evidence map›Paper›PMID 40795186›Full record

ArticleHealth promotion international2025

Demystifying the commercial determinants of health in antimicrobial resistance through complex system dynamics.

Calum Smith, Jake Hitch, Lovro Savic

Abstract read
In one paragraph

Article in Health promotion international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Calum SmithNuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom.ORCID 0009-0007-8495-386X
Jake HitchNuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom.
Lovro SavicNuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, United Kingdom.

Funding

Wellcome 203132/Z/16/ZWellcome Trust
6 · The paper itself

Abstract

Antimicrobial resistance (AMR) poses a significant threat to public health. The commercial determinants of health (CDoH) play a key role in shaping the development and growth of AMR. It is important to recognise these commercial factors and situate them within the complex system which describes the emergence and transmission of AMR, so that we can begin to evaluate their impact. There are several feedback loops in the AMR system that prevent a linear 'cause and effect' solution presenting itself to policymakers. These factors are all complexly interdependent and a solution requires recognition of this complexity. We take it for granted that one solution alone cannot tackle the issue of the growing threat of AMR. For this reason, we propose the use of complex system dynamics to visualize key interdependencies within the system. By building on existing systems maps of AMR, we propose to explore and highlight the relationships between the CDoH and AMR in order to demonstrate how commercial factors have consequences for and knock-on effects on other elements (and potential policy suggestions) within the system. In short, the proposed systems map is a tool that can be used to (i) represent some of the ways that commercial factors impact on AMR and (ii) visually simplify the complexity of the issue at hand. We provide a map that could act as a starting point to demonstrate our argument and act as a baseline to be developed going forward in collaboration with other research and non-research actors within the system.

Indexed as

Anti-Bacterial AgentsCommerceDrug Resistance, MicrobialPublic HealthSocial Determinants of HealthHealth PolicyHumansAnti-Bacterial Agentsantimicrobial resistancecommercial determinants of healthcomplex system dynamics

Identifiers

PMID40795186
PMCPMC12343032

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.