Evidence map›Paper›PMID 42240952›Full record

ArticlePharmaceutical medicine2026

Regulating the Irregular: Phage Therapy and the Case for a Regulatory Sandbox Approach in Australia.

Marco Rizzi, Stephen M Stick, David G Hancock, Anthony Kicic, Yuliya V Karpievitch

Abstract read
In one paragraph

Article in Pharmaceutical medicine, 2026. 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

5 authors.

Marco RizziCentre for Health Law and Policy, UWA Law School, The University of Western Australia, Nedlands, WA, Australia. marco.rizzi@uwa.edu.au.ORCID http://orcid.org/0000-0003-0445-9655
Stephen M StickDepartment of Respiratory and Sleep Medicine, Perth Children's Hospital, Nedlands, WA, Australia.
David G HancockDepartment of Respiratory and Sleep Medicine, Perth Children's Hospital, Nedlands, WA, Australia.
Anthony KicicWal-Yan Respiratory Research Centre, The Kids Research Institute Australia, Nedlands, WA, Australia.
Yuliya V KarpievitchOpenPhage, Swanbourne, WA, Australia.

Funding

Medical Research Future Fund 2023559
6 · The paper itself

Abstract

Bacteriophages (phages) are viruses that selectively kill bacteria and offer a promising option to address the growing global pandemic of antimicrobial-resistant infections. However, phage therapy does not easily align with traditional regulatory pathways designed for fixed-composition chemical drugs or biologics with fixed non-evolving compositions. Globally, alternative models such as personalised pharmacy-based formulations (known as magistral preparations), compassionate use provisions and flexible licensing have emerged to accommodate the biological complexity and personalised nature of phage-based therapeutics. Australia is well positioned to take a leadership role and consider a regulatory sandbox approach to the therapeutic use of phages that balances innovation with safety. Being time limited, this controlled framework would allow regulators and innovators to test new approaches under provisional rules and inform potential reforms. A sandbox should include strict participation criteria, and lead to the development of regulatory-ready biobanks of well-characterised phages, accelerating clinical access and manufacturing capacity. This model is a pragmatic and proactive approach that would enable safe scalable phage therapy in response to rising antimicrobial resistance threats.

Indexed as

BacteriophagesPhage TherapyAustraliaHumans

Identifiers

PMID42240952
PMCPMC13332890

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.