Evidence map›Paper›PMID 42643785›Full record

ArticleBMJ oncology2026

Decentralised Oncology Trials in the UK: Evidence, Regulation and Academic Clinical Trials Units' Perspectives.

Oyeyemi Akala, Harriet S Walter, Claire Snowdon, Gianina-Ioana Postavaru, Judith M Bliss, Hannah Gribble, Abigail Botschka, Fay H Cafferty

Abstract read
In one paragraph

Article in BMJ oncology, 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

5 · Who and what money

Authors and funding

8 authors.

Oyeyemi AkalaClinical Trials & Statistics Unit (ICR-CTSU), The Institute of Cancer Research, London, UK.ORCID https://orcid.org/0009-0007-2585-2807
Harriet S WalterLeicester Cancer Research Centre, University of Leicester, Leicester, UK.
Claire SnowdonClinical Trials & Statistics Unit (ICR-CTSU), The Institute of Cancer Research, London, UK.
Gianina-Ioana PostavaruSchool of Psychology and Vision Sciences, University of Leicester, Leicester, UK.
Judith M BlissClinical Trials & Statistics Unit (ICR-CTSU), The Institute of Cancer Research, London, UK.
Hannah GribbleClinical Trials & Statistics Unit (ICR-CTSU), The Institute of Cancer Research, London, UK.
Abigail BotschkaClinical Trials & Statistics Unit (ICR-CTSU), The Institute of Cancer Research, London, UK.
Fay H CaffertyClinical Trials & Statistics Unit (ICR-CTSU), The Institute of Cancer Research, London, UK.ORCID https://orcid.org/0000-0002-0973-660X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Decentralised clinical trials (DCTs) are increasingly promoted in UK research policy and practice; however, their benefits and implementation challenges in oncology remain unclear. We examined DCT use in oncology through a review of studies evaluating decentralised oncology trial delivery, UK regulatory and policy frameworks and a survey of UK academic Clinical Trials Units (CTUs). Design: Multimethod study including a structured literature review, policy review and cross-sectional survey of UK Clinical Research Collaboration (UKCRC)-registered CTUs. Setting: International literature, UK-based regulatory and policy documents and survey data from UKCRC-registered CTUs. Interventions: None. Main outcome measures: Literature review: decentralised components evaluated and reported outcomes.Policy review: opportunities, barriers and gaps in UK regulatory and policy guidance relevant to DCTs.Survey: CTU awareness, uptake, perceived benefits and challenges related to decentralised trial delivery, comparing oncology and non-oncology settings. Results: Of 68 studies meeting broader eligibility criteria, only 8 formally evaluated decentralised elements within oncology trials and were included in the primary synthesis. Conducted across five countries, these studies primarily assessed feasibility, recruitment, usability and data completeness. Only one UK oncology study formally evaluated DCT methods, assessing use of remote electronic consent to support recruitment during the COVID-19 pandemic, highlighting limited published UK evaluation. Non-UK studies showed mixed findings, including improvements in trial processes or participant satisfaction in some contexts alongside operational challenges in others.The UK-based policy review identified strategic support for decentralisation but fragmented regulatory guidance and ambiguity around key decentralisation concepts. Temporary COVID-19-induced flexibilities demonstrated feasibility but have not been fully incorporated into permanent guidance.Survey responses were received from 27 CTUs (54% response rate). Awareness of decentralised approaches was high; however, use of these was lower in oncology than in non-oncology trials. Decentralisation was most commonly applied to patient follow-up. CTUs reported reduced participant burden and increased flexibility, but also challenges relating to governance, contracting, infrastructure, staffing and data management. Conclusions: Decentralised approaches in UK oncology trials are gaining momentum but remain unevenly adopted, alongside a limited oncology-specific evidence base, regulatory ambiguity and operational challenges. Oncology presents distinct challenges that may limit decentralisation of trials compared with other disease areas, including complex interventions, intensive safety monitoring requirements and protocol-specific assessments. Evidence on patient/public involvement and acceptability of decentralised approaches among people with cancer remains limited. Clearer guidance and more robust evaluation, incorporating patient perspectives, are needed to support wider implementation in the UK and may also be relevant internationally.

Indexed as

Clinical Trialclinical trial methodologydecentralised clinical trialhealth policyNeoplasms

Identifiers

PMID42643785
PMCPMC13504880

What OpenQuestion holds

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Registered trials

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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.