中华口腔医学杂志最新文献

{"title":"[Equity and spatial distribution evolution of dentist resources in China (2012-2023) with trend prediction].","authors":"P Ni, B Ni, Y T Liang, X Y Wang, L Y Xu","doi":"10.3760/cma.j.cn112144-20250801-00294","DOIUrl":"10.3760/cma.j.cn112144-20250801-00294","url":null,"abstract":"<p><p><b>Objective:</b> To analyze the changes and spatial distribution characteristics of dentist resource allocation in China from 2012 to 2023, thereby providing a basis for optimizing the allocation of oral health workforce. <b>Methods:</b> Based on panel data from 31 provincial-level administrative regions in China from 2012 to 2023, the Gini coefficient (<i>G</i>) and Theil index (<i>T</i>) were used to evaluate the equity of dentist distribution. Global and local spatial autocorrelation analyses were conducted to examine the spatial distribution of dentist resources, and a geodetector was employed to explore the influencing factors. Based on grey prediction model (GM) theory, the first-order univariate differential equation model [GM(1, 1)] was applied to project the allocation patterns of dentists in China for 2030 and 2035. <b>Results:</b> The total number of dentists increased from 116.2 thousand in 2012 to 387.4 thousand in 2023, with an average annual growth rate of 11.6%. In 2023, the proportions of female dentists, those with 10 years of work experience, those with a bachelor's degree or above, and those with junior/assistant professional titles were 54.3% (210.3 thousand), 49.9% (193.3 thousand), 45.3% (175.5 thousand), and 51.6% (199.9 thousand), respectively. The dentist-to-population ratio in 2023 was 2.75 per 10 000 population, meeting the World Health Organization recommended basic standard (2 per 10 000) while remaining lower than the level of upper-middle-income countries (4.04 per 10 000). In 2023, the distribution of dentists by population was absolutely equitable (<i>G</i>=0.169, <i>T</i>=0.049), as was the distribution by gross regional product (<i>G</i>=0.174, <i>T</i>=0.053), whereas the distribution by geographic area was highly inequitable (<i>G</i>=0.699, <i>T</i>=0.955). Global Moran's <i>I</i> increased progressively (0.207 in 2012, 0.220 in 2016, 0.270 in 2019, and 0.397 in 2023), and statistical tests indicated that the Global Moran's <i>I</i> value for each year was significantly greater than 0 (all <i>P</i>0.05), suggesting the presence of significant positive spatial autocorrelation. The spatial extents of both \"high-high\" clusters and \"low-low\" clusters expanded at each subsequent time point. In 2023, \"high-high\" clusters were mainly concentrated in North China and its adjacent provincial-level administrative regions, whereas \"low-low\" clusters were located primarily in the Southwest and adjacent parts of the Central South and Northwest regions. Year-end resident population, gross regional product, local health expenditure, number of colleges offering dentistry undergraduate programs, number of hospitals, and outpatient and emergency visits to hospital dental departments were the main factors influencing the spatial distribution of dentists, with independent <i>q</i> values of 0.770, 0.776, 0.764, 0.661, 0.607, and 0.680, respectively, all of which were tested to be significantly greater than 0 (all <i>P</i>","PeriodicalId":23965,"journal":{"name":"中华口腔医学杂志","volume":"61 7","pages":"1027-1038"},"PeriodicalIF":0.0,"publicationDate":"2026-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148377222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Clinical comparative analysis of accuracy between tilted and axial implant placement in edentulous jaws assisted by an autonomous dental implant robot].","authors":"M X Wang, Q Q Chen, J C Wang, J Wu, W Chen, C B Tang","doi":"10.3760/cma.j.cn112144-20260402-00209","DOIUrl":"10.3760/cma.j.cn112144-20260402-00209","url":null,"abstract":"<p><p><b>Objective:</b> To preliminarily evaluate and compare the surgical accuracy of tilted and axial implant placement in edentulous patients assisted by an autonomous dental implant robot. <b>Methods:</b> Eight edentulous patients who underwent implant placement assisted by the autonomous dental implant robot at the Affiliated Stomatological Hospital of Nanjing Medical University from November 2023 to November 2024 were enrolled. A total of 42 implants (18 tilted implants and 24 axial implants) were placed. Postoperative cone-beam CT data was obtained and registered with the preoperative planning data. The platform deviation, apical deviation, angular deviation, as well as horizontal and vertical components of the deviations were measured. An unpaired two-tailed <i>t</i>-test was used to compare the accuracy between the tilted and axial groups. <b>Results:</b> The overall mean platform deviation of the 42 implants was (0.67±0.20) mm, the mean apical deviation was (0.73±0.22) mm, and the mean angular deviation was 1.54°±0.54°. The mean values of all directional components were within 0.5 mm. The tilted group showed a significantly greater apical deviation [(0.82±0.17) mm], angular deviation (1.76°±0.43°), and apical horizontal deviation [(0.50±0.13) mm] compared with the axial group [(0.66±0.22) mm, 1.37°±0.55°, (0.42±0.10) mm] (<i>t</i>=2.66, <i>P</i>=0.011; <i>t</i>=2.47, <i>P</i>=0.018; <i>t</i>=2.39, <i>P</i>=0.022). No significant differences were observed in platform deviation, platform horizontal deviation, platform vertical deviation, or apical vertical deviation (all <i>P</i>0.05). <b>Conclusions:</b> Autonomous dental implant robot-assisted implant placement in edentulous patients achieves satisfactory overall accuracy. Although tilted implants exhibit significantly greater apical and angular deviations than axial implants, all deviation values remain within clinically acceptable ranges.</p>","PeriodicalId":23965,"journal":{"name":"中华口腔医学杂志","volume":"61 7","pages":"979-985"},"PeriodicalIF":0.0,"publicationDate":"2026-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148377078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Digital-intelligent workflow for full-arch implant fixed prosthodontics].","authors":"K H Deng, F M He","doi":"10.3760/cma.j.cn112144-20260415-00236","DOIUrl":"10.3760/cma.j.cn112144-20260415-00236","url":null,"abstract":"<p><p>Full-arch implant rehabilitation faces core challenges: insufficient impression accuracy, difficulty in precise jaw relation transfer, deviations between virtual planning and actual implant placement, inaccurate seating of immediate restorations, and poor passive fit of definitive prostheses. The digital-intelligent system centered on computer-aided design and computer-aided manufacturing (CAD/CAM), intraoral scanning, cone beam CT, virtual patient modeling, and artificial intelligence is driving the transformation from an experience-driven to a data-driven precision medicine model, systematically improving impression accuracy, jaw relation transfer precision, implant positioning accuracy, and passive fit. This paper, combining clinical practice and literature evidence, elaborates the complete workflow and analyzes key issues and coping strategies, aiming to provide a reference for standardized clinical application.</p>","PeriodicalId":23965,"journal":{"name":"中华口腔医学杂志","volume":"61 7","pages":"963-971"},"PeriodicalIF":0.0,"publicationDate":"2026-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148377202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Intraoral approach combined with submandibular minor incision for mandibular defect reconstruction using vascularized iliac bone-muscle flap: a clinical study].","authors":"X M Ding, F H Xu, S M Ge, W Han, X W Hong, T Zhou","doi":"10.3760/cma.j.cn112144-20260309-00152","DOIUrl":"10.3760/cma.j.cn112144-20260309-00152","url":null,"abstract":"<p><p><b>Objective:</b> To investigate the clinical efficacy of intraoral approach combined with submandibular minor-incision for simultaneous mandibular resection and precise reconstruction using vascularized iliac bone-muscle flap in patients with benign mandibular lesions. <b>Methods:</b> From January 2023 to January 2026, 19 patients with benign mandibular lesions were enrolled. The cohort comprised 8 males and 11 females, aged 15 to 75 years (mean 46.5 years). Pathological diagnoses included ameloblastoma (<i>n</i>=13), recurrent odontogenic keratocyst (<i>n</i>=2), sclerosing osteomyelitis of the jaw (<i>n</i>=2), giant cell lesion (<i>n</i>=1), and recurrent ossifying fibroma (<i>n</i>=1). All procedures employed an intraoral approach combined with a submandibular minor-incision. Preoperatively, spiral CT scans of the mandible and iliac bone were utilized to construct a mandibular model, and a reconstruction titanium plate was pre-bent using computer-aided design/computer-aided manufacturing (CAD/CAM) technology. All 19 patients underwent unilateral segmental mandibulectomy with in-situ fixation of the pre-bent reconstruction plate, followed by mandibular defect reconstruction using a vascularized iliac bone-muscle flap. Immediate implant placement was performed in 12 cases. <b>Results:</b> Vascularized iliac bone-muscle flaps survived in 18 patients (success rate 95%), while 1 flap failed due to necrosis. All incisions healed primarily. Twelve patients underwent simultaneous implant placement. During the 1-year follow-up, all patients demonstrated satisfactory functional recovery without facial nerve injury. The occlusal relationship of the remaining dentition was basically maintained at the preoperative level. Masticatory function was satisfactory. Mouth opening ranged from 31 to 36 mm. Swallowing and speech functions were normal. Only minor scars (mean length 1.5 cm) were observed extraorally, and patients were satisfied with their facial appearance. The mean initial implant stability quotient value in the 12 implanted patients was (72.5±6.3). CBCT evaluation at 6 months postoperatively revealed an osseointegration rate of 100%. No recurrence was observed up to the last follow-up. <b>Conclusions:</b> Intraoral approach combined with submandibular minor-incision for simultaneous mandibular resection and vascularized iliac bone-muscle flap reconstruction, as preliminarily demonstrated in this small-sample cohort, can shorten operative time, enhance reconstructive precision, reduce maxillofacial scarring, and significantly improve patient satisfaction. It represents a reliable surgical strategy for precise simultaneous mandibular resection and reconstruction.</p>","PeriodicalId":23965,"journal":{"name":"中华口腔医学杂志","volume":"61 7","pages":"1020-1026"},"PeriodicalIF":0.0,"publicationDate":"2026-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148377208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Artificial intelligence-driven smart transformation of complete dentures: current status, challenges, and future prospects].","authors":"Y S Zhou","doi":"10.3760/cma.j.cn112144-20260415-00237","DOIUrl":"10.3760/cma.j.cn112144-20260415-00237","url":null,"abstract":"<p><p>Complete denture restoration, as a major treatment for reconstructing masticatory function and restoring facial esthetics in patients with edentulism, has long been constrained by challenges inherent in traditional workflows, including reliance on experience, insufficient accuracy, and prolonged treatment periods. With the application of artificial intelligence (AI) in stomatology, complete denture restoration is undergoing a fundamental transformation from experience-driven to data-driven approaches. This article systematically reviews the application of AI in driving the smart transformation of complete dentures, and presents the current application status of AI technologies throughout the entire process of complete denture restoration, including data acquirement, denture design, denture fabrication and processing, as well as post-insertion evaluation and follow-up. Although AI has significantly improved restoration accuracy, efficiency, and patient satisfaction, challenges remain, such as insufficient data standardization and limited model generalizability. Future efforts require multidisciplinary collaboration to address these challenges, promote deeper integration of AI with stomatology, and advance complete denture restoration toward a more precise, efficient, and personalized new stage.</p>","PeriodicalId":23965,"journal":{"name":"中华口腔医学杂志","volume":"61 7","pages":"929-936"},"PeriodicalIF":0.0,"publicationDate":"2026-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148377086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Clinical significance and molecular mechanisms of m⁶A modification in oral squamous cell carcinoma].","authors":"Z C Wang, C P Qiu, L T Li, S Y Liu, Y C Yang, J Wang","doi":"10.3760/cma.j.cn112144-20260117-00029","DOIUrl":"10.3760/cma.j.cn112144-20260117-00029","url":null,"abstract":"<p><p>Oral squamous cell carcinoma (OSCC) represents the most prevalent primary malignant neoplasm within the head and neck region. The elevated rates of recurrence and metastasis, coupled with resistance to conventional therapies, significantly compromise patient prognosis, thereby necessitating the identification of novel molecular regulatory targets. N⁶-methyladenosine (m⁶A) modification emerges as the most widespread post-transcriptional RNA modification in eukaryotic organisms. This modification operates through a dynamic regulatory network involving methyltransferases (Writers), demethylases (Erasers), and recognition proteins (Readers), which collectively orchestrate precise regulation of RNA functionality and are intricately involved in oncogenic processes. Current research indicates that m⁶A modification and its associated regulatory factors exhibit aberrant dysregulation in OSCC. By modulating critical biological processes such as tumor cell proliferation, invasion, metastasis, autophagy, ferroptosis, and the characteristics of OSCC tumor stem cells, these modifications influence both the progression and therapeutic responsiveness of OSCC. This article systematically reviews the core regulatory mechanisms of m⁶A modification, focusing on its functional effects and molecular pathways in the malignant progression of OSCC. It summarizes the clinical translational value of m⁶A regulatory factors as diagnostic and prognostic biomarkers as well as targets for targeted therapy, and outlines future research directions in this field, aiming to provide important theoretical references for the precision diagnosis and treatment of OSCC.</p>","PeriodicalId":23965,"journal":{"name":"中华口腔医学杂志","volume":"61 7","pages":"1081-1087"},"PeriodicalIF":0.0,"publicationDate":"2026-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148377081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Recommendation and comparison of four large language models for prosthetic treatment options in edentulous patients].","authors":"X Li, Y Feng, J Li, Y F Cai, Z T Li, L Li, Z H Feng, D H Li, J H Chen, F Wang, L N Niu","doi":"10.3760/cma.j.cn112144-20260405-00214","DOIUrl":"10.3760/cma.j.cn112144-20260405-00214","url":null,"abstract":"&lt;p&gt;&lt;p&gt;&lt;b&gt;Objective:&lt;/b&gt; To evaluate the comprehensiveness and consistency of treatment plan recommendations provided by four large language models (LLM) for edentulous patients, and to explore their feasibility and limitations as clinical decision-making support tools. &lt;b&gt;Methods:&lt;/b&gt; Twelve standardized simulated clinical records of edentulous patients were constructed, each fully incorporating information on six dimensions influencing treatment plan selection (local oral conditions, general health status, socioeconomic factors, patient preferences, convenience of maintenance, and long-term maintenance capability). Four LLM (ChatGPT, Tongyi Qianwen, Wenxin Yiyan, DeepSeek) were used to provide treatment recommendations and corresponding rationales for implant-supported prostheses and complete dentures (single-turn question-and-answer, fixed prompts, each LLM responded three times to each of the 12 standardized records, with the conversation history cleared before each response). Meanwhile, a panel of three chief physicians specializing in prosthodontics and implant dentistry was invited to provide expert opinions for each scenario. Subsequently, two senior attending physicians independently evaluated the responses of each LLM using a multidimensional scoring system (consistency of recommendations, completeness of rationales, risk identification capability, and decision-making transparency). Finally, the Kruskal-Wallis test was used to analyze differences among the LLM. &lt;b&gt;Results:&lt;/b&gt; The inter-rater reliability between the two senior attending physicians was excellent (Spearman's ρ=0.906, &lt;i&gt;P&lt;/i&gt;0.001). The performance of LLM varied across dimensions. ChatGPT achieved the highest overall score of 3.13 (2.75, 3.44), followed by DeepSeek 2.75 (2.50, 2.94), Tongyi Qianwen 2.38 (2.00, 2.50), and Wenxin Yiyan 2.13 (1.56, 2.43). The overall difference among the four models was statistically significant (&lt;i&gt;H&lt;/i&gt;=22.80, &lt;i&gt;P&lt;/i&gt;0.001). Regarding consistency of recommendations, ChatGPT showed the highest concordance with expert opinions (the combined proportion of basic and complete consistency was 12/12). In terms of completeness of rationales, the mention rates of local oral conditions, general health status, and socioeconomic factors were all ≥6/12 for each model (with ChatGPT achieving ≥11/12). However, for convenience of maintenance and long-term maintenance capability, the mention rates for Wenxin Yiyan, Tongyi Qianwen, and DeepSeek were ≤6/12. &lt;b&gt;Conclusions:&lt;/b&gt; The four LLM showed significant differences in their performance in edentulous restoration decision-making. ChatGPT achieved the highest overall score and the best concordance with expert opinions. Regarding non-medical factors such as convenience of maintenance and long-term maintenance capability, the mention rates of Wenxin Yiyan, Tongyi Qianwen, and DeepSeek were relatively low. These findings suggest that current LLM are not yet capable of comprehensively weighing all key decision","PeriodicalId":23965,"journal":{"name":"中华口腔医学杂志","volume":"61 7","pages":"1004-1012"},"PeriodicalIF":0.0,"publicationDate":"2026-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148377147","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Research progress in artificial intelligence-driven digital removable partial denture clinical diagnosis and treatment].","authors":"N Zhang, B Dong, T Luo, Y W Zhao, L Yue, H Y Yu","doi":"10.3760/cma.j.cn112144-20260320-00182","DOIUrl":"10.3760/cma.j.cn112144-20260320-00182","url":null,"abstract":"<p><p>Clinical practice of digital removable partial denture (RPD) has undergone two profound transformations, shifting from partial digital substitution to full-process digital intelligent empowerment. In the first transformation, the application of digital technology restructured the RPD clinical workflow and significantly improved the low efficiency and insufficient accuracy of traditional techniques. However, it has failed to fundamentally address issues such as efficient and scientific design as well as technological breakthroughs for better clinical outcomes. At present, artificial intelligence, based on massive clinical data, can deeply integrate personalized implicit expert experience with consensus principles of RPD diagnosis and treatment to construct explicit, data-driven quantitative models. This supports clinicians and technicians in clinical practice, advancing RPD restoration toward computable, optimizable, and widely applicable intelligent decision support. This paper systematically reviews the current application status and efficacy evaluation of artificial intelligence technology in the digital clinical diagnosis and treatment of RPD, covering the research directions of clinical consultation, diagnostic and therapeutic assistance, and RPD design. It further explores the clinical value and development prospects of transforming RPD prosthodontics from a digital substitution model that improves efficiency and quality to a digital intelligent empowerment model that addresses complex design challenges.</p>","PeriodicalId":23965,"journal":{"name":"中华口腔医学杂志","volume":"61 7","pages":"946-953"},"PeriodicalIF":0.0,"publicationDate":"2026-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148377265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Digital technology assisted rehabilitation with an adhesive retained auricular prosthesis].","authors":"X N Yu, J Zhang, S Z Bai, W Zhao, J H Duan, Y M Zhao","doi":"10.3760/cma.j.cn112144-20260107-00007","DOIUrl":"10.3760/cma.j.cn112144-20260107-00007","url":null,"abstract":"","PeriodicalId":23965,"journal":{"name":"中华口腔医学杂志","volume":"61 7","pages":"1056-1061"},"PeriodicalIF":0.0,"publicationDate":"2026-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148473193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"[Application of splint to relieve masticatory muscle symptoms caused by clenching in a mandibular osteomyelitis patient].","authors":"J Y Huo, C L Guo, Z Y Yu, M Wang","doi":"10.3760/cma.j.cn112144-20251217-00516","DOIUrl":"10.3760/cma.j.cn112144-20251217-00516","url":null,"abstract":"","PeriodicalId":23965,"journal":{"name":"中华口腔医学杂志","volume":"61 7","pages":"1062-1065"},"PeriodicalIF":0.0,"publicationDate":"2026-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148377054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}