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ArticleFrontiers in dental medicine2025

Cost analysis of treatment for periodontitis stages I-IV based on periodontal status and number of visits: a retrospective study at the Dental Teaching Hospital.

Aysha Azzahra B, Benso Sulijaya, Yuniarti Soeroso, Natalina Haerani, Fatimah Maria Tadjoedin, Anton Rahardjo

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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. Not yet cited in PubMed.

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1 · What the graph read from it

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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

6 authors.

Aysha Azzahra BUndergraduate Program, Faculty of Dentistry, Universitas Indonesia, Depok, Indonesia.
Benso SulijayaDepartment of Periodontology, Faculty of Dentistry, Universitas Indonesia, Jakarta, Indonesia.
Yuniarti SoerosoDepartment of Periodontology, Faculty of Dentistry, Universitas Indonesia, Jakarta, Indonesia.
Natalina HaeraniDepartment of Periodontology, Faculty of Dentistry, Universitas Indonesia, Jakarta, Indonesia.
Fatimah Maria TadjoedinDepartment of Periodontology, Faculty of Dentistry, Universitas Indonesia, Jakarta, Indonesia.
Anton RahardjoDepartment of Dental Public Health, Faculty of Dentistry, Universitas Indonesia, Jakarta, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Periodontitis affects 20%-50% of the global population and 74.1% of the population in Indonesia, with 1.1 billion cases worldwide in 2019. Assessing treatment costs is essential to ensure affordability and optimize outcomes, particularly in developing countries. Objective: This study aimed to estimate the treatment cost for stage I-IV periodontitis, evaluate changes in periodontal parameters [plaque index (PI), papillary bleeding index (PBI), and calculus index (CI)], and analyze both the relationship and differences between treatment cost, number of visits, and changes in periodontal status. Materials and methods: A retrospective observational study of 64 patient records (2020-2022) from the Periodontology Clinic, Universitas Indonesia Dental Hospital, was conducted. The medical records of single-visit patients or patients who lacked data on the periodontal variables in their medical records were excluded. Data included treatment costs (during the initial, surgical, and supportive phases), number of visits, and periodontal parameters (PI, PBI, and CI). A univariate analysis was performed to describe the distribution of the treatment cost, number of visits, and periodontal parameters. A bivariate analysis was conducted using Pearson's correlation to examine the association between treatment cost, number of visits, and changes in periodontal parameters, while one-way ANOVA was used to assess differences in the mean periodontal changes among the groups with different treatment costs and number of visits, with a significance threshold of Results: The univariate analysis showed that the highest mean cost was incurred by those with stage IV periodontitis (USD 50.45), while the lowest was incurred by those with stage III periodontitis (USD 18.96). Regarding the treatment phases, the surgical phase incurred the highest mean cost (USD 61.21), whereas the initial phase incurred the lowest (USD 20.08). The bivariate analysis using Pearson's correlation indicated no significant associations between treatment cost or number of visits and changes in PI, PBI, or CI ( Conclusion: Treatment cost and number of visits showed no significant association with periodontal status, suggesting that clinical outcomes are determined by treatment quality rather than expenditure or frequency of visits.

Indexed as

epidemiologyperiodontal statusperiodontitis stages I–IVperiodontitis treatmenttreatment costs

Identifiers

PMID41244146
PMCPMC12611851

What Socratic holds

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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 Socratic graph.