Evidence map›Paper›PMID 41472389›Full record

ArticleJournal of dental education2026

Evaluating the Role of Analogies in Biochemistry Education: Lessons Learned From Pre- and Post-Pandemic Dental Student Perceptions.

Ulysses Tsz Fung Lam, Yun Chau Long

Abstract read
In one paragraph

Article in Journal of dental education, 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
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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

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

2 authors.

Ulysses Tsz Fung LamDepartment of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Yun Chau LongDepartment of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biochemistry forms the foundation for understanding biomolecules and molecular processes crucial to dental and oral biology. However, it is often perceived as a challenging subject for dental students with diverse educational backgrounds. Analogies are a pedagogical tool that helps explain new and abstract concepts in biochemistry. The COVID-19 pandemic significantly disrupted teaching and learning activities, prompting shifts in instructional models. This cross-sectional study evaluates dental students' perceptions of analogies in biochemistry education through surveys conducted at the National University of Singapore. Participants included pre-pandemic (2019) and post-pandemic (2024) dental student cohorts, consisting of 57 and 64 students, respectively. Both cohorts reported overwhelmingly positive responses toward the usefulness of analogies, with average scores of 4.6 ± 0.6 in 2019 and 4.7 ± 0.5 in 2024. Most students indicated that analogies enhanced their visualization of abstract concepts (100% in 2019 and 96.9% in 2024) and improved knowledge retention (82.5% in 2019 and 68.8% in 2024). However, a small proportion of students noted that analogies are taken literally and difficult to differentiate from reality (5.3% in 2019 and 4.7% in 2024). Students generally found analogies associated with unfamiliar topics to be more memorable. These findings suggest that analogies remain a relevant and effective tool in biochemistry education, even amid shifts in educational delivery models.

Indexed as

BiochemistryCOVID-19Education, DentalStudents, DentalCross-Sectional StudiesHumansLearningPandemicsSingaporeSurveys and Questionnairesanalogybiochemistry Educationdental Educationlearningpedagogy

Identifiers

PMID41472389
PMCPMC13489175

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.