Evidence map›Paper›PMID 41628931›Full record

ArticleBMJ open2026

Protocol for the PROSECCA study: a new approach for predicting radiotherapy outcome using artificial intelligence and electronic population-based healthcare data.

William H Nailon, David J Noble, Ewen Harrison, Zhuolin Yang, Sarah Elliot, Archie MacNair, George Beckett, Antony Hallam, Aziz Sheikh, Nicholas Mills and 40 more

Registry-linked trialAbstract read
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06714630 (Improving Radiotherapy in PROState Cancer Using EleCtronic Population-based healthCAre Data), which is not on this 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.

NCT06714630 recruitingnot on this map

Improving Radiotherapy in PROState Cancer Using EleCtronic Population-based healthCAre Data: The PROSECCA Study, Answering New Questions in Prostate Cancer

TypeobservationalSponsorUniversity of EdinburghRan2024 to 2028Enrolled15,000ConditionsProstate Cancer
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

50 authors.

William H NailonInstitute of Genetics and Cancer, University of Edinburgh Western General Hospital, Edinburgh, Lothian, UK W.Nailon@ed.ac.uk.ORCID http://orcid.org/0000-0003-1463-2458
David J NobleInstitute of Genetics and Cancer, University of Edinburgh Western General Hospital, Edinburgh, Lothian, UK.
Ewen HarrisonUsher Institute, University of Edinburgh Division of Clinical and Surgical Sciences, Edinburgh, UK.
Zhuolin YangInstitute of Genetics and Cancer, University of Edinburgh Western General Hospital, Edinburgh, Lothian, UK.
Sarah ElliotInstitute of Genetics and Cancer, University of Edinburgh Western General Hospital, Edinburgh, Lothian, UK.
Archie MacNairEdinburgh Cancer Centre, NHS Lothian, Edinburgh, UK.
George BeckettUoE, Baynes Centre, Edinburgh Parallel Computing Centre, Edinburgh, UK.
Antony HallamUoE, Baynes Centre, Edinburgh Parallel Computing Centre, Edinburgh, UK.ORCID http://orcid.org/0000-0002-0942-0234
Aziz SheikhDivision of Community Health Sciences, University of Edinburgh Division of Clinical and Surgical Sciences, Edinburgh, UK.
Nicholas MillsUsher Institute, University of Edinburgh Division of Clinical and Surgical Sciences, Edinburgh, UK.
Roger HallidayResearch Data Scotland, Baynes Centre, University of Edinburgh Institute of Governance, Edinburgh, UK.
David MorrisonScottish Cancer Registry, Public Health Scotland, Edinburgh, UK.
Anthony ChalmersInstitute of Cancer Sciences, University of Glasgow, Glasgow, UK.
David CameronInstitute of Genetics and Cancer, University of Edinburgh Western General Hospital, Edinburgh, Lothian, UK.
Charlie GourleyInstitute of Genetics and Cancer, University of Edinburgh Western General Hospital, Edinburgh, Lothian, UK.ORCID http://orcid.org/0000-0002-2377-7221
Peter HallInstitute of Genetics and Cancer, University of Edinburgh Western General Hospital, Edinburgh, Lothian, UK.
Christina LilleyEdinburgh Cancer Centre, NHS Lothian, Edinburgh, UK.
Linda J CarruthersOncology Physics, Edinburgh Cancer Centre, NHS Lothian, Edinburgh, UK.
Michael TrainerRadiotherapy Physics, Newcastle Upon Tyne Hospitals NHS Foundation Trust Cancer Services, Newcastle upon Tyne, UK.
Donna BurnsEdinburgh Cancer Centre, NHS Lothian, Edinburgh, UK.
Fiona DeeEdinburgh Cancer Centre, NHS Lothian, Edinburgh, UK.
Sankar AndiappaRadiotherapy Physics, NHS Tayside, Dundee, UK.
Adrian LonsdaleRadiotherapy Physics, NHS Tayside, Dundee, UK.
Megan CouperRadiotherapy Physics, NHS Tayside, Dundee, UK.
Kirsty FarnanRadiotherapy, NHS Tayside, Dundee, UK.
John McLellanRadiotherapy Physics, NHS Grampian, Aberdeen, UK.ORCID http://orcid.org/0009-0007-4732-5282
Andrew MillerRadiotherapy Physics, NHS Grampian, Aberdeen, UK.
Jacqueline OggRadiotherapy, NHS Grampian, Aberdeen, UK.
Jillian MosesRadiotherapy, NHS Grampian, Aberdeen, UK.
Steve ColliganRadiotherapy Physics, NHS Highland, Inverness, UK.
Graham MacDonaldClinical Oncology, NHS Grampian, Aberdeen, UK.
Neil McPhailClinical Oncology, NHS Highland, Inverness, UK.
Paddy NiblockClinical Oncology, NHS Tayside, Dundee, UK.
Nicholas MacLeodClinical Oncology, Beatson West of Scotland Cancer Centre, Glasgow, Glasgow, UK.
Mike E DaviesInstitute for Imaging, Data and Communications, The University of Edinburgh School of Engineering, Edinburgh, UK.
Dave I LaurensonInstitute for Imaging, Data and Communications, The University of Edinburgh School of Engineering, Edinburgh, UK.
James R HopgoodInstitute for Imaging, Data and Communications, The University of Edinburgh School of Engineering, Edinburgh, UK.
Dorothy BoyleSouth East Scottish Cancer Research Network (SESCRN), NHS Lothian, Edinburgh, Edinburgh, UK.
Claire PatersonClinical Oncology, Beatson West of Scotland Cancer Centre, Glasgow, Glasgow, UK.
Derek GroseClinical Oncology, Beatson West of Scotland Cancer Centre, Glasgow, Glasgow, UK.
Iain PhillipsInstitute of Genetics and Cancer, University of Edinburgh Western General Hospital, Edinburgh, Lothian, UK.ORCID http://orcid.org/0000-0002-9298-7767
Stephen HarrowEdinburgh Cancer Centre, NHS Lothian, Edinburgh, UK.
Thomas BergerEdinburgh Cancer Centre, NHS Lothian, Edinburgh, UK.
Leila E A ShelleyOncology Physics, Edinburgh Cancer Centre, NHS Lothian, Edinburgh, UK.
Ian SandersClinical Oncology, NHS Tayside, Dundee, UK.
Shelley HendersonMedical Physics, NHS Tayside, Dundee, UK.
Aileen DufftonBeatson West of Scotland Cancer Centre, NHS Greater Glasgow and Clyde, Glasgow, UK.
Joanne MitchellEdinburgh Cancer Centre, NHS Lothian, Edinburgh, UK.
Alasdair RutherfordBeatson West of Scotland Cancer Centre, NHS Greater Glasgow and Clyde, Glasgow, UK.
Duncan B McLarenInstitute of Genetics and Cancer, University of Edinburgh Western General Hospital, Edinburgh, Lothian, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWithin the UK there are 33 deaths every day from prostate cancer, second only to lung cancer as the most common cause of cancer death in males in the UK. Of the 55 000 new cases each year, up to 50% of these patients will receive radiotherapy either alone or after prostatectomy. Although there have been significant improvements in the accuracy of radiotherapy delivery leading to better tumour targeting and a reduction in dose to normal tissues, significant permanent genito-urinary or gastrointestinal-related side effects are all too common. With nearly 80% of patients with prostate cancer surviving for 10 years or more, minimising life-limiting radiation damage to normal tissues is vitally important. However, at present, it is not possible to identify which patients will suffer a poorer outcome after radiotherapy. The aim of this study, improving radiotherapy in METHODS AND ANALYSIS: The PROSECCA study is a large multidisciplinary project, the purpose of which is to analyse healthcare records from up to 15 000 patients with prostate cancer who underwent radiotherapy in the treatment of their cancer in Scotland between 2010 and 2022. Through the linkage of data obtained specifically for radiotherapy and data held within each patient's unique electronic health record (EHR), the factors that indicate why some patients have a poor response to treatment, or an increased risk of side effects from radiation, will be identified. This will be made possible by the use of artificial intelligence and machine learning (AL/ML), which will help to identify at-risk patients earlier and allow adaptation of their treatment accordingly. ETHICS AND DISSEMINATION: The study is being conducted in accordance with the ethical principles set out in the Declaration of Helsinki and Good Clinical Practice that respects and protects the rights, and maintains confidentiality, of all trial participants. The study protocol (V.1.0) was reviewed by the South Central Oxford A Research Ethics Committee (REC) on 13 December 2021 and received a favourable opinion subject to each National Health Service (NHS) organisation confirming permission for patients treated within their area. Approval for the use of unconsented healthcare record data for patients included in the study and treated at one of the five Scottish Cancer Centres required an application to the NHS Scotland Public Benefit and Privacy Panel for Health and Social Care (HSC-PBPP). Full approval from the HSC-PBPP panel was received on 1 July 2024, which covered the use of pseudoanonymised EHR data for all patients participating in the study. The study is publicly listed on the NHS Health Research Authority site, with IRAS ID 306245 and REC reference 21/SC/0402. Dissemination of the study findings will take place through field-leading cancer, radiation oncology and medical physics journals. All manuscripts will be approved by the main study team and authorship determined by mutual agreement. TRIAL REGISTRATION NUMBER: NCT06714630.

Indexed as

Artificial IntelligenceElectronic Health RecordsProstatic NeoplasmsHumansMaleRadiotherapyResearch DesignTreatment OutcomeUnited KingdomMachine LearningMedical physicsPatientsProstateRADIOTHERAPYUrological tumours

Identifiers

PMID41628931
PMCPMC12878269

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Registered trials

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.