ArticleJournal of cancer education : the official journal of the American Association for Cancer Education2026
Impact of Competency-Based Education and Multidisciplinary Team Teaching for Standardized Training Resident on Radiation Oncology.
Article in Journal of cancer education : the official journal of the American Association for Cancer Education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Application and Development of Spectral CT in Target Delineation for Lung Cancer Radiotherapy.Diagnostics (Basel, Switzerland) · 2026Review
- Assessment of the real MDT teaching model in medical imaging internship: an educational-oriented study.Insights into imaging · 2026Article
- Evaluating a specialty-specific objective structured clinical examination and workplace-based assessment curriculum for radiation oncology postgraduate training: a prospective educational intervention study.BMC medical education · 2026Article
- Comment on "Impact of Competency-Based Education and Multidisciplinary Team Teaching for Standardized Training Resident on Radiation Oncology".Journal of cancer education : the official journal of the American Association for Cancer Education · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Radiation oncology is a pivotal discipline in cancer management, requiring the integration of clinical expertise and technical skills. Traditional methods often fall short in fostering essential competencies such as interdisciplinary collaboration and problem-solving. This study evaluated the effectiveness of competency-based education (CBE) combined with multidisciplinary team (MDT) teaching in improving hospital standardized training trainees' academic performance and clinical competencies during their radiation oncology rotations. This trial involved 128 hospital standardized training trainees from Anhui Medical University, split into two groups: 64 trainees from the 2023 cohort received traditional teaching, while 64 trainees from the 2024 cohort were taught using the CBE-MDT model. The outcomes were assessed through rotation completion exams (100-point scale) and a 25-item Likert-scale survey. Statistical analysis included independent t tests and chi-square tests. The two groups were comparable in their general characteristics, such as sex and age (P > 0.05). The experimental group showed significant improvements in final exam scores (98.3 ± 1.9 vs. 97.7 ± 1.3, P < 0.05) and higher satisfaction scores (95.92 ± 2.80 vs. 87.73 ± 3.35, P < 0.001). The integration of CBE and MDT teaching significantly enhances academic performance and competency development in radiation oncology training. These findings support the adoption of innovative pedagogical approaches in medical education to prepare future healthcare professionals for multidisciplinary clinical challenges.
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Registered trials
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.