Evidence map›Paper›PMID 41394528›Full record

ArticleMedEdPublish (2016)2025

Can Creative Thinking Predict Academic Success in Medical Education? Correlating Torrance Test of Creative Thinking Scores and Five-year GPAs of Japanese Medical Students.

Marcellus Nealy, Hiroyuki Daida, Yuichi Tomiki, Dennis Dew, Takeo Higuchi

Abstract read
In one paragraph

Article in MedEdPublish (2016), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Marcellus NealyJuntendo University, Chiba, Japan.ORCID https://orcid.org/0000-0002-2367-6770
Hiroyuki DaidaJuntendo University, Tokyo, Japan.
Yuichi TomikiJuntendo University, Tokyo, Japan.ORCID https://orcid.org/0000-0001-9284-905X
Dennis DewMount Mercy University, Cedar Rapids, Iowa, USA.
Takeo HiguchiIdea Marathon, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study determined the correlation between creative thinking aptitude, measured by the Torrance Test of Creative Thinking-Figural (TTCT-F), and five-year academic achievement. Methods: The TTCT-F was administered to 135 first-year medical students at a Tokyo-based medical school in 2018. Participants' academic records-annual GPAs over five years-were averaged, and data were analyzed in 2023. Pearson correlation coefficients examined the relationship between the TTCT-F Creativity Index and the five-year average GPA; multiple linear regression assessed the predictive value of TTCT-F components on GPA; canonical correlation analysis explored multivariate relationships. Results: The Creativity Index demonstrated a weak, non-significant correlation with the five-year average GPA. Fluency, Originality, and Elaboration components were not significantly correlated, while Abstractness of Titles demonstrated a moderate positive correlation. Linear regression indicated that Abstractness of Titles significantly predicted GPA, accounting for approximately 8% of the variance. Canonical correlation analysis revealed a moderate multivariate association between TTCT-F components and academic performance. Conclusions: Certain aspects of creative thinking, particularly abstract reasoning, may relate to academic success in medical education. Further research is needed to clarify the role of creative thinking in medical training and whether it warrants greater integration into curricula.

Indexed as

academic achievementcreative thinkingcreativity indexJapanese medical studentsmedical educationTorrance Test of Creative Thinking–Figural

Identifiers

PMID41394528
PMCPMC12699210

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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.