Evidence map›Paper›PMID 40930709›Full record

ArticleJournal of medical ethics2026

Self-censorship: should scientific journals decline to publish self-experimentation?

Jonathan Pugh, Dominic Wilkinson, Julian Savulescu

Abstract read
In one paragraph

Article in Journal of medical ethics, 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

3 authors.

Jonathan PughUehiro Oxford Institute, University of Oxford, Oxford, UK jonathan.pugh@uehiro.ox.ac.uk.
Dominic WilkinsonUehiro Oxford Institute, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0003-3958-8633
Julian SavulescuUehiro Oxford Institute, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0003-1691-6403

Funding

Wellcome Trust 226801
6 · The paper itself

Abstract

A virologist recently made headlines after successfully using an experimental form of oncolytic virotherapy to treat her own recurrent breast cancer. This case has come at a time when regulators are increasingly having to grapple with the proliferation of self-experimentation outside of accredited research institutions. There is, therefore, a pressing need to outline the key ethical dimensions of self-experimentation and to develop ethical guidance for journals that may be faced with decisions about whether to publish research involving self-experimentation. In this paper, we aim to provide such guidance. We argue that while self-experimentation is not always ethically problematic, neither is there an in-principle moral reason for exempting it from ethical evaluation. After summarising the details of the recent case report of self-experimentation and briefly placing it in historical context, we suggest that it is possible to navigate the ethical issues raised in cases of self-experimentation by returning to fundamental values in research ethics, focusing on the implications of self-experimentation for respect for autonomy, reasonable risk, and preventing harm to others. We apply these principles to the case report and explain why the publication of this report can be morally justified. We ultimately advocate for a case-by-case assessment of studies involving self-experimentation submitted for publication by ethical review boards and journal editors, and we propose a decision-making algorithm to help guide such decisions.

Indexed as

Periodicals as TopicPublishingBreast NeoplasmsEditorial PoliciesEthics, ResearchFemaleHumansEthics, ResearchInformed Consent

Identifiers

PMID40930709
PMCPMC7618749

What OpenQuestion holds

Textmetadata
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.