Evidence map›Paper›PMID 40159517›Full record

ArticleNPJ breast cancer2025

Mapping the current landscape of locoregional therapy de-escalation trials in early breast cancer: a systematic review.

Alan D McCrorie, Hilary Stobart, David Dodwell, Stuart A McIntosh, Shelley Potter

Abstract read
In one paragraph

Article in NPJ breast cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. 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

5 authors.

Alan D McCrorieThe Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, UK.ORCID http://orcid.org/0000-0002-7422-2154
Hilary StobartIndependent Cancer Patients' Voice, Cambridge, UK.
David DodwellOxford Population Health, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0001-8787-4904
Stuart A McIntoshThe Patrick G Johnston Centre for Cancer Research, Queen's University Belfast, Belfast, UK.ORCID http://orcid.org/0000-0002-4123-9611
Shelley PotterBristol Surgical and Perioperative Care Complex Intervention Collaboration, Translational Health Sciences, Bristol Medical School, Bristol, UK. shelley.potter@bristol.ac.uk.ORCID http://orcid.org/0000-0002-6977-312X

Funding

Cancer Research UK C8225/A21133National Institute for Health and Care Research CS-2016-16-019
6 · The paper itself

Abstract

A systematic review undertaken to map the current landscape of locoregional de-escalation trials to inform future research. Online databases and trial registries were searched to identify ongoing, recently completed or published studies de-escalating surgery or radiotherapy in patients with early breast cancer. 97 trials evaluated de-escalation of surgery or radiotherapy in up to 94,866 participants. Surgery studies more commonly evaluated treatment omission/reduction after neoadjuvant systemic therapy (NST) and de-escalation of nodal treatment. Radiotherapy studies were more frequently biomarker stratified. Patients were rarely involved in study design. Research questions focused on response-adjusted treatment after NST and omission/reduction of locoregional therapy in patients with low- or intermediate-risk disease. Significant duplication was identified with multiple studies addressing similar questions. This systematic review demonstrates that the current de-escalation portfolio is inefficient, lacks patient focus and needs improvement. An internationally collaborative approach using innovative study designs and patient partnership will be essential to address this.

Identifiers

PMID40159517
PMCPMC11955517

What OpenQuestion holds

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LicenceCC BY
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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.