Evidence map›Paper›PMID 42013518›Full record

ArticleInternational dental journal2026

Advantages of Combined Multiple-Case Teaching and Narrative Medicine Teaching Methods in Orthognathic Surgery.

Kan Li, Chen Li, Xiang Li, Siyong Gao, Huanzhong Ji, Xueying Mei, Xueting Luo, Guangsen Zheng

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In one paragraph

Article in International dental journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Kan LiHospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, China.
Chen LiDepartment of Stomatology, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Xiang LiHospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, China.
Siyong GaoHospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, China.
Huanzhong JiHospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, China.
Xueying MeiHospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, China.
Xueting LuoHospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, China. Electronic address: luoxt53@mail.sysu.edu.cn.
Guangsen ZhengHospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Stomatology, Sun Yat-sen University, Guangzhou, China. Electronic address: zhenggs@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to evaluate the effectiveness and efficiency of combined multiple-case teaching (MCT) and narrative medicine teaching (NMT) method compared with lecture-based learning (LBL) in the clinical practical teaching of orthognathic surgery.

resultsCompared with LBL group, students in the MCT-NMT group showed significant improvements in medical record scores, perceived ability and satisfaction with teaching. The course enhanced students' understanding of theoretical knowledge and improved their communication and expression abilities.

conclusionMCT combined with NMT may be an effective method for improving dental students' technical and humanistic abilities, and is a teaching method that is more worthy of promotion than traditional education models. CLINICAL RELEVANCE: The essence of MCT-NMT is to transform 'fragmented knowledge' into 'systematic clinical capabilities.' This shift in teaching methodology ultimately may drive orthognathic surgery from 'technology-driven' to 'technology + humanities dual-driven' high-quality development.

Indexed as

Education, DentalNarrative MedicineOrthognathic SurgeryFemaleHumansMaleStudents, DentalSurveys and QuestionnairesTeachingCase-based learningClinical-oriented teachingLecture-based learningMultiple-case teachingNarrative medicineOrthognathic surgery

Identifiers

PMID42013518
PMCPMC13122224

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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.