Evidence map›Paper›PMID 41824083›Full record

Trial reportSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026

Translation approaches to support systemic anti-cancer therapy consent for individuals with limited English proficiency.

Stephen P Hibbs, Rumman Nizam, Ubaid Tanzim, Laura Aiken, Sabrina Habib, Sam Hodgson, Jill Williams, Adam Januszewski, Andrew Hantel, Mohammed Salah Uddin and 6 more

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

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

16 authors.

Stephen P HibbsWolfson Institute of Population Health, Queen Mary University of London, Yvonne Carter Building, 58 Turner St., London, E1 2AB, UK. s.p.hibbs@qmul.ac.uk.
Rumman NizamGeorge's University Hospitals NHS Trust, London, UK.
Ubaid TanzimUniversity College London Hospitals NHS Foundation Trust, London, UK.
Laura AikenDepartment of Clinical Haematology, Barts Health NHS Trust, London, UK.
Sabrina HabibBarts Cancer Centre, Barts Health NHS Trust, London, UK.
Sam HodgsonWolfson Institute of Population Health, Queen Mary University of London, Yvonne Carter Building, 58 Turner St., London, E1 2AB, UK.
Jill WilliamsMyeloma UK, Edinburgh, UK.
Adam JanuszewskiBarts Cancer Centre, Barts Health NHS Trust, London, UK.
Andrew HantelDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Mohammed Salah UddinNational Register of Public Service Interpreters (NRPSI), Chartered Institute of Linguists, London, UK.
Talia IsaacsUCL Institute of Education, University College London, London, UK.
Bettina BajajCentre for Translation Studies (CenTraS), University College London, London, UK.
Olivia CockburnCentre for Translation Studies (CenTraS), University College London, London, UK.
Amin IslamDepartment of Haematology, Mid & South Essex University Hospital NHS Foundation Trust, Southend, UK.
Guy PrattCancer Research UK Clinical Trials Unit, University of Birmingham, Birmingham, UK.
Federico M FedericiCentre for Translation Studies (CenTraS), University College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLimited English proficiency (LEP) is associated with poor cancer outcomes, and written information about systemic anticancer treatment (SACT) is often provided in English only. Unsupervised machine translation of medical information is common, but its effectiveness and accuracy are unclear. This study aimed to (a) compare professional and machine translation of written SACT information and (b) investigate whether providing a bilingual SACT consent form altered comprehension of key information during an interpreted SACT consent consultation.

methodsThis randomised study included healthy, Bengali- or Sylheti-speaking adults with LEP across London, UK. Participants were randomised twice. First, they were allocated to either a machine translation or professional (human) translation of an English language SACT information booklet. Second, 1-2 weeks later, participants underwent a simulated SACT consent consultation with a doctor and interpreter, and were allocated to either a conventional English-only SACT consent form or a bilingual English-Bengali consent form.

resultsAfter reading the translated booklet, 19/121 participants (15.7%) met the primary outcome of understanding treatment intent, with no difference by translation type (multivariate OR = 0.99, p = 0.99). The machine-translated booklet contained 11 meaning-changing errors, compared to 1 in the professional translation. Of 91 participants completing the consent consultation, randomisation to the bilingual translated SACT form was associated with higher odds of understanding treatment intent (multivariate OR = 3.73, p = 0.01).

conclusionIn this study, a bilingual English-Bengali consent form improved comprehension amongst LEP participants and may hold value in other language-discordant settings. Unsupervised machine translation of a patient information booklet introduced more errors than professional translation, but most individuals receiving either translation type did not comprehend crucial information; other information formats should be explored.

trial registrationUniversity College London Research Ethics Committee approved this study as a low-risk application on 28 October 2024 at 15:15, reference number: AH/2024/52-6625/003. The statistical analysis plan of the study was registered in the Open Science Framework,  https://osf.io/axg5d .

Indexed as

Antineoplastic AgentsInformed ConsentLimited English ProficiencyNeoplasmsTranslatingAdultAgedComprehensionFemaleHumansLondonMaleMedical InterpretingMiddle AgedMultilingualismPamphletsAntineoplastic AgentsHealth equityInterpreter-mediated oncological consultationsLEP health literacyMachine-translated patient brochuresRisk comprehensionTreatment consent

Identifiers

PMID41824083
PMCPMC12987779

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.