Evidence map›Paper›PMID 40866065›Full record

ArticleBMJ open2025

Developing a prospective rapid-learning methodology to evaluate the survival impact of changing radiotherapy practice to include a new heart dose limit for patients with lung cancer in a UK specialist cancer centre (RAPID-RT): a protocol.

Isabella Fornacon-Wood, Rebecca Holley, Harry Crawford, Kathryn Banfill, Tom Marchant, Catharine Morgan, Hannah Turner-Uaandja, Abigail Walker, Evangelos Kontopantelis, Tjeerd van Staa and 4 more

Abstract read
In one paragraph

Article in BMJ open, 2025. 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. 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

14 authors.

Isabella Fornacon-WoodRadiotherapy Related Research, Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Rebecca HolleyRadiotherapy Related Research, Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0003-4150-3299
Harry CrawfordChristie NHS Foundation Trust, Manchester, UK.
Kathryn BanfillChristie NHS Foundation Trust, Manchester, UK.
Tom MarchantChristie NHS Foundation Trust, Manchester, UK.ORCID http://orcid.org/0000-0002-3603-4275
Catharine MorganDivision of Informatics, Imaging and Data Sciences, The University of Manchester, Manchester, UK.
Hannah Turner-UaandjaVocal, Research and Innovation Division, Manchester University NHS Foundation Trust, Manchester, UK.
Abigail WalkerChristie NHS Foundation Trust, Manchester, UK.
Evangelos KontopantelisDivision of Informatics, Imaging and Data Sciences, The University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0001-6450-5815
Tjeerd van StaaCentre for Health Informatics and Health Data Research UK North, Division of Informatics, Imaging and Data Science, School of Health Sciences, The University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0001-9363-742X
Sarah DevaneyCentre for Social Ethics and Policy, Division of Law, School of Social Sciences, The Faculty of Humanities, The University of Manchester, Manchester, UK.
Soren HolmCentre for Social Ethics and Policy, Division of Law, School of Social Sciences, The Faculty of Humanities, The University of Manchester, Manchester, UK.
Gareth PriceRadiotherapy Related Research, Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK.
Corinne Faivre-FinnRadiotherapy Related Research, Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK corinne.finn@nhs.net.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe RAPID-RT study is part of a large-scale research programme investigating the use of routinely collected real-world patient data to rapidly and prospectively evaluate and optimise the impact of changes in radiotherapy practice on clinical outcome, an approach often referred to as 'rapid learning'. As a proof of concept, a prospective, observational clinical study using realworld data is embedded within the programme. This study implements a new dose limit to a defined region of the heart in patients with stage I-III lung cancer treated with curative-intent radiotherapy at The Christie NHS Foundation Trust. The RAPID-RT study includes both methodological and clinical objectives. Its primary aim is to assess the feasibility and clinical acceptability of using rapid learning with real-world data to evaluate outcomes following modifications to standard-of-care radiotherapy protocols. This work has the potential to establish rapid learning as a robust, evidence-based approach for the continuous optimisation of radiotherapy workflows. METHODS AND ANALYSIS: RAPID-RT is a series of prospective single-arm observational studies with historic controls that uses only real-world data. A clinical decision was made to implement a dose limit to a specific region of the heart in all patients with stage I-III non-small cell lung cancer treated with curative-intent radiotherapy. The research focuses on using real-world data, the information collected as a part of patients' routine care, to evaluate the impact of this change on overall survival and treatment-related toxicities. The study employs broad inclusion criteria, and data are extracted directly from the electronic patient record. Patients are provided with clear patient information materials and consent for data use via an informed opt-out process. Outcomes for patients treated before and after the introduction of the dose limit are compared using a Bayesian analytical framework to allow sequential updating of results as patients are recruited to the study. Evidence of clinical impact will guide the clinical team in determining whether refinements to the heart dose limit are necessary. These changes will, in turn, be evaluated in subsequent rapid-learning cycles. The RAPID-RT study aims to complete at least two iterative learning cycles to support the continuous optimisation of radiotherapy protocols. ETHICS AND DISSEMINATION: The study has received ethical approval (REC reference 22/NW/0390) from the North West Haydock Research Ethics Committee, is sponsored by The Christie NHS Foundation Trust and is funded by the UK National Institute for Health and Care Research. The programme management group is supported by an independent programme steering committee, an independent statistical review panel, a clinical management team and patient advisory group. Findings from the RAPID-RT study will be shared widely through conferences, focus groups and a stakeholder event, including a public 'People's Forum' to co-create guiding principles for trusted rapid learning in radiotherapy. In parallel, interviews with participants, professionals and regulators will inform consensus and the development of practical, ethical and legal guidelines to support the adoption of rapid learning across NHS radiotherapy centres. TRIAL REGISTERATION NUMBER: ISRCTN17129364.

Indexed as

Carcinoma, Non-Small-Cell LungHeartLung NeoplasmsHumansObservational Studies as TopicProspective StudiesRadiotherapy DosageUnited KingdomONCOLOGYRADIOTHERAPYSTATISTICS & RESEARCH METHODS

Identifiers

PMID40866065
PMCPMC12410672

What OpenQuestion holds

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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.