Evidence map›Paper›PMID 42024292›Full record

ArticleClinical oral investigations2026

Construction and validation of a patient-centered data governance platform for multimodal dental implant data management.

Shijie Chen, Peisheng Zeng, Yue Chen, Yuhua Zhu, Zhuohong Gong, Yixiong Lin, Rui Xie, Zhuofan Chen, Mengru Shi, Zetao Chen

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Clinical oral investigations, 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

What it found

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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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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

10 authors.

Shijie ChenHospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University & Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, 510000, China.
Peisheng ZengHospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University & Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, 510000, China.
Yue ChenSchool of Information Technology, Guangdong Industry Polytechnic University, Foshan, 528000, China.
Yuhua ZhuSchool of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, 510000, China.
Zhuohong GongHospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University & Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, 510000, China.
Yixiong LinHospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University & Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, 510000, China.
Rui XieDigital Center, School of Stomatology, State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration & National Clinical Research Center for Oral Diseases & Shaanxi Key Laboratory of Stomatology, The Fourth Military Medical University, 710000, Xi'an, China.
Zhuofan ChenHospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University & Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, 510000, China. chzhuof@mail.sysu.edu.cn.
Mengru ShiHospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University & Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, 510000, China. shimr3@mail.sysu.edu.cn.
Zetao ChenHospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University & Guangdong Research Center for Dental and Cranial Rehabilitation and Material Engineering, Guangzhou, 510000, China. chenzet3@mail.sysu.edu.cn.

Funding

National Natural Science Foundation of China 82402380Science and Technology Program of Guangzhou, China 2023B03J1232
6 · The paper itself

Abstract

objectivesTo address the challenge of managing diverse multisource data in dental implantology, this study aimed to construct and validate a patient-centered, time series-based data governance framework. MATERIALS AND

methodsWe established a dental implant time series model and defined a unified dental implantation standard dataset. A MySQL-based governance platform was developed with a user-friendly interface. Usability was evaluated through a within-subject crossover study involving 8 implant dentists performing four representative clinical tasks and comparing the platform against conventional tools, with outcomes measured by task completion time and System Usability Scale (SUS) scores. Additionally, the framework’s utility was assessed through its application in research and education.

resultsThe standard dental implantation dataset contained 715 common data elements for interpreting multisource heterogeneous dental implant data. The dental implant platform allowed users to perform various patient data management tasks, effectively organizing multimodal data along the dental implant time series. Usability testing demonstrated significant efficiency and user satisfaction gains: task completion time decreased by 21.9–38.1% across all the scenarios (P < 0.05), with mean SUS scores of 76.88 ± 4.77, indicating high clinical acceptability. In addition, we explored the research utility of the data in evidence-based epidemiological studies and artificial intelligence applications.

conclusionThis study establishes a validated, standardized framework for clinical data governance that significantly improves clinical data management efficiency and user satisfaction, offering a replicable model for specialty-specific medical data governance. CLINICAL RELEVANCE: The platform enhances real-world data accessibility providing high-quality structured data to support clinical decision-making, education, and future AI applications in implant dentistry.

Indexed as

Dental ImplantationDental ImplantsPatient-Centered CareCross-Over StudiesHumansUser-Computer InterfaceDental ImplantsClinical applicabilityDatabaseDentistryReal-world dataUsability evaluation

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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.