ArticleFrontiers in dental medicine2025
Advances in orthodontic treatment for periodontal disease: a bibliometric analysis, emerging insights and clinical implications.
Article in Frontiers in dental medicine, 2025. 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.
- Development and Validation of a Patient-Reported Outcome Questionnaire for Children Undergoing Removable Orthodontic Treatment.Dentistry journal · 2026Article
- Biomarkers for Treatment Response in Orthodontics: Molecular Mechanisms, Clinical Utility, and Future Directions.International journal of molecular sciences · 2026Review
- The 100 Most Cited Studies on Impacted Canines: A Bibliometric Analysis Study.Turkish journal of orthodontics · 2026Article
- The Interaction Between Orthodontics and Periodontal Tissue Remodeling :.Galen medical journal · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: This study aims to perform a comprehensive bibliometric analysis of research on orthodontic treatment for patients with periodontal disease. By examining publication trends, citation patterns, and research hotspots, we seek to understand the evolution of this field, identify future trends, and promote an integrated approach to enhance treatment outcomes and patient care. Methods: A comprehensive literature search was performed using the Web of Science and PubMed databases with the keywords "periodontal disease" "periodontology" "periodontitis" and "orthodontics".The retrieved records were systematically analyzed and visualized utilizing CiteSpace 6.2 and VOSviewer software. Bibliometric analysis was conducted across multiple dimensions, including authorship, geographic distribution (countries and institutions), keyword trends, and citation patterns in relevant journals. Results: After screening titles, abstracts, and keywords, a total of 580 articles met the inclusion criteria for further analysis. The leading publishing countries were China and USA with significant contributions from Grigore T. Popa University of Medicine & Pharmacy. Ionuț Luchian emerged as the most prolific author, while Ainamo J. demonstrated considerable influence based on citation metrics. Authoritative journals, such as the American Journal of Orthodontics and Dentofacial Orthopedics, were identified as the most frequently cited publications in this field. Conclusions: Future research in orthodontic treatment for patients with periodontal disease is expected to focus on developing personalized treatment plans, utilizing innovative biomaterials, designing advanced biomarkers and predictive models, integrating regenerative medicine approaches, and comprehensively assessing patients' overall quality of life. These directions aim to enhance treatment efficacy, improve patient outcomes, and ensure a more holistic and individualized approach to care.
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Identifiers
What OpenQuestion holds
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.