Evidence map›Paper›PMID 42583071›Full record

ArticleESMO gastrointestinal oncology2026

Clinician and patient attitudes toward locoregional treatment of oligometastatic oesophago-gastric cancers: a mixed-methods study.

A S Lakha, A Gordon-Weeks, S R Markar

Abstract read
In one paragraph

Article in ESMO gastrointestinal oncology, 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
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0citing papers in PubMed
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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

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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.

A S LakhaNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
A Gordon-WeeksNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.
S R MarkarNuffield Department of Surgical Sciences, University of Oxford, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The role of locoregional treatment in oligometastatic oesophago-gastric (OG) cancer remains uncertain, with conflicting trial evidence and limited guidance for clinical practice. This study aimed to evaluate clinician and patient attitudes toward locoregional management, assess clinical equipoise, and explore trade-offs between survival gain and quality of life (QOL) reduction in response to locoregional therapies. Materials and methods: A cross-sectional survey of clinicians involved in multidisciplinary management of OG cancer was conducted between August and December 2025. Scenario-based questions assessed acceptability of combined survival gain (6-15 months) and QOL reduction (5%-20%) as a modified discrete choice experiment. A clustered logistic regression model evaluated the independent effects of survival gain and QOL reduction on clinician acceptability. Patient and public involvement workshops were undertaken to understand patient preferences in potential future trial design. Results: Thirty clinicians from 24 centres participated. Sixty percent reported offering locoregional treatment following stability on systemic therapy. Approximately 93% of respondents indicated willingness to participate in a randomised controlled trial (RCT). Acceptability of treatment strategies increased with greater survival gain and decreased with increasing QOL reduction. In clustered regression analysis, each additional 3 months of survival gain increased the odds of acceptability by ∼75%, whereas each additional 5% QOL reduction decreased the odds by ∼45%. Conclusion: There is substantial variation in clinician attitudes toward locoregional treatment of oligometastatic OG cancer, but marked equipoise and high trial willingness exist. Acceptability is strongly influenced by the balance between survival benefit and QOL impact. These findings support the design of prospective RCTs incorporating patient-centred outcomes.

Indexed as

gastric canceroesophageal cancerpatient involvementsurvey

Identifiers

PMID42583071
PMCPMC13459514

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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.