Evidence map›Paper›PMID 42482006›Full record

Trial reportBMC medical education2026

Open science practices and feedback-based pedagogy in nanomedicine education: a moderated mediation model of glioma treatment competency.

Chengqiong Mao, Yang Liu, Chao Zhang

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in BMC medical 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
–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.

Chengqiong MaoSchool of Biomedical Engineering, Guangzhou Medical University, Guangzhou, 510180, P. R. China.
Yang LiuSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, 511442, P. R. China.
Chao ZhangZhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, 510282, P. R. China. zhangchaonfykd@163.com.

Funding

National Natural Science Foundation of China No. 82373393
6 · The paper itself

Abstract

backgroundNanomedicine education requires interdisciplinary integration that conventional didactic instruction inadequately develops, particularly in glioma therapeutics. Open science practices and feedback-based pedagogy offer complementary solutions, yet their synergistic effects remain empirically unexplored. This study aimed to validate an integrated instructional framework to enhance knowledge mastery and innovation capacity.

methodsA two-arm parallel-group randomized controlled trial was conducted at six Chinese medical colleges from October to December 2023. Three hundred forty-two clinical medicine graduate students were randomly assigned to either an experimental group (feedback-based pedagogy combined with open science platform engagement, sample size 171) or a control group (traditional didactic instruction, sample size 171) for 12 weeks. Knowledge mastery was measured using a 20-item standardized test (range 0-140), and innovation capacity was assessed using an adapted 28-item Abbreviated Torrance Test for Adults. A moderated mediation model with bootstrap resampling (5000 iterations) examined the mediating role of knowledge mastery and the moderating role of open science engagement.

resultsFeedback-based pedagogy significantly improved knowledge mastery (standardized coefficient = 0.28, p < 0.001) and innovation capacity. Open science practice significantly amplified these effects, with a positive interaction between the two strategies (standardized coefficient = 0.15, p = 0.003). Knowledge mastery mediated 38.2% of the effect of feedback-based pedagogy on innovation capacity. Open science engagement significantly moderated this indirect pathway, amplifying the mediated effect by 58% under high-engagement conditions. Subgroup analyses confirmed the stability of these effects across institutional tiers and specialties. Additional objective artifact scoring showed higher blinded behavioral-output scores in the experimental group across decision quality, design feasibility, reproducible protocol/code quality, and translational rationale. Leave-one-institution-out validation confirmed that the main effect, interaction effect, and conditional indirect pathway remained directionally stable across all six institutional exclusions.

conclusionsIntegrating open science practices with feedback-based pedagogy creates a synergistic instructional paradigm that enhances nanomedicine education outcomes. Knowledge mastery serves as the critical transformation mechanism linking structured instruction to innovative capacity development. These findings provide an empirically grounded framework for glioma therapeutics education, with hypothesized applicability to other complex medical domains sharing specified boundary conditions (high interdisciplinary integration, open digital infrastructure, and simulation-based learning contexts). Boundary statement: Because this randomized trial was conducted over 12 weeks within a single national educational system and used proximal simulated/domain-adapted innovation assessments rather than downstream clinical behavioral outcomes, the findings should be interpreted as bounded evidence requiring longitudinal, cross-national replication with objective endpoints such as supervised clinical practice records, decision-quality ratings, peer-reviewed outputs, protocol contributions, and patent applications.

Indexed as

Clinical CompetenceGliomaNanomedicineAdultChinaEducation, Medical, GraduateFemaleFormative FeedbackHumansMaleModels, EducationalFeedback teachingGlioma treatmentInnovation capabilityNanomedicineOpen science practice

Identifiers

What OpenQuestion holds

Textmetadata
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.