Evidence map›Paper›PMID 38652432›Full record

ArticleJournal of cancer education : the official journal of the American Association for Cancer Education2024

Machine Translation for Multilingual Cancer Patient Education: Bridging Languages, Navigating Challenges.

Aaron Lawson McLean, Tui Lin Yen

Abstract readLetter
In one paragraph

Article in Journal of cancer education : the official journal of the American Association for Cancer Education, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Translation approaches to support systemic anti-cancer therapy consent for individuals with limited English proficiency.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Trial
  2. Oncology Education in Lithuania: An Integrated Curriculum at the Lithuanian University of Health Sciences.Journal of cancer education : the official journal of the American Association for Cancer Education · 2026
    Article
  3. Review
  4. Pediatric Oncology Knowledge Mobilization in Canada: A Environmental Scan.Inquiry : a journal of medical care organization, provision and financing
    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

2 authors.

Aaron Lawson McLeanDepartment of Neurosurgery, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany. aaron.lawsonmclean@med.uni-jena.de.ORCID 0000-0001-5528-6905
Tui Lin YenDepartment of Education, China Medical University Hospital, Taichung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This commentary evaluates the use of machine translation for multilingual patienteducation in oncology. It critically examines the balance between technologicalbenefits in language accessibility and the potential for increasing healthcare disparities.The analysis emphasizes the need for a multidisciplinary approach to translation thatincorporates linguistic accuracy, medical clarity, and cultural relevance. Additionally, ithighlights the ethical considerations of digital literacy and access, underscoring theimportance of equitable patient education. This contribution seeks to advance thediscussion on the thoughtful integration of technology in healthcare communication,focusing on maintaining high standards of equity, quality, and patient care.

Indexed as

MultilingualismPatient Education as TopicTranslatingCommunication BarriersHealth LiteracyHumansLanguageNeoplasmsAI ethicsCommunication barriersDigital healthcare divideHealthcare equityMachine translationMultilingual patient education

Identifiers

PMID38652432
PMCPMC11461557

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.