Evidence map›Paper›PMID 42724185›Full record

ArticleNeuroethics2026

Paediatric Preference Prediction: the Future of Decision-Making for Children?

Dominic James Clifford Wilkinson, Julian Savulescu, Brian Earp

Abstract read
In one paragraph

Article in Neuroethics, 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

3 authors.

Dominic James Clifford WilkinsonUehiro Oxford Institute, University of Oxford, Oxford, United Kingdom.
Julian SavulescuUehiro Oxford Institute, University of Oxford, Oxford, United Kingdom.
Brian EarpCentre for Biomedical Ethics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.ORCID https://orcid.org/0000-0001-9691-2888

Funding

Wellcome Trust
6 · The paper itself

Abstract

Adolescents sometimes express firm views about high-stakes medical decisions that conflict with those of their caregivers or clinicians, raising difficult questions about how much weight their wishes should carry. A recurring concern is whether such decisions will later be regretted, although the normative significance of future potential regret remains hotly debated. Recent work in adult bioethics has proposed using artificial intelligence-based Personalized Patient Preference Predictors (P4s) to estimate what current treatment incapacitated adults would have chosen based on their known or inferred preferences when last autonomous. This paper explores whether, and with what ethical significance, a parallel 'Paediatric Personalized Patient Preference Predictor' (P5) could be applied to children and young people. We analyse how predicted

Indexed as

AdolescentArtificial IntelligenceDecision MakingDecision Making, SharedPatient PreferenceTreatment Refusal

Identifiers

PMID42724185
PMCPMC13558382

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.