Evidence map›Paper›PMID 42504195›Full record

ArticleAdvances in medical education and practice2026

The Impact of Bilingual Scaffolding on the Acquisition and Retention of Specialized Medical Terminology.

Mohammed Alzahrani, Abdulhakim Alfhiad, Abdulrahman Almalki

Abstract read
In one paragraph

Article in Advances in medical education and practice, 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
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

3 authors.

Mohammed AlzahraniEnglish Language Department, College of Science and Health Professions, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Abdulhakim AlfhiadEnglish Language Department, College of Science and Health Professions, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.
Abdulrahman AlmalkiEnglish Language Department, College of Science and Health Professions, King Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia.ORCID 0009-0009-6575-8334

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study investigates the impact of bilingual instruction compared to L2-only instruction on the acquisition and retention of specialized medical vocabulary. Methods: 50 medical and health science students were divided into two groups: A control group receiving English-only instruction and an intervention group receiving bilingual instruction. Using a longitudinal quasi-experimental design, both groups were assessed on vocabulary breadth and depth at three intervals: immediately, one week, and one month following instruction. Results: The findings revealed that while initial gains at T1 were similar between groups, the intervention group receiving bilingual instruction consistently achieved significantly higher scores and superior retention rates at the one-week and one-month follow-ups. The advantage of bilingual instruction was most salient in long-term depth of knowledge, where learners maintained more durable mental representations of complex terms. Discussion: These findings suggest that first language scaffolding reduces cognitive load, which may make abstract medical terminology more accessible. Ultimately, the study advocates for translanguaging as a beneficial pedagogical strategy to enhance academic success in English-medium instruction medical contexts.

Indexed as

bilingual instructionEMIEnglish medium instructionmedical vocabularyvocabulary depthvocabulary retention

Identifiers

PMID42504195
PMCPMC13401889

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.