Evidence map›Paper›PMID 42728582›Full record

ArticleBMC oral health2026

Impact of denosumab therapy on periapical healing following root canal treatment: a 10-year retrospective case-control study.

Bokyung Shin, Ji-Young Yoon, Yeon-Jee Yoo, Won-Jun Shon

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Article in BMC oral health, 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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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

4 authors.

Bokyung ShinDepartment of Conservative Dentistry, Section of Dentistry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Ji-Young YoonDepartment of Conservative Dentistry, Section of Dentistry, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Yeon-Jee YooDepartment of Conservative Dentistry, Dental Research Institute, Seoul National University School of Dentistry, Daehak-ro 101, Jongro-gu, Seoul, Republic of Korea. duswl32@snu.ac.kr.
Won-Jun ShonDepartment of Conservative Dentistry, Dental Research Institute, Seoul National University School of Dentistry, Daehak-ro 101, Jongro-gu, Seoul, Republic of Korea. endoson@snu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDenosumab is a potent RANKL inhibitor used for osteoporosis, yet its impact on root canal treatment (RCT) outcomes remains less understood compared to bisphosphonates. This study evaluated the periapical healing outcomes of RCT in patients receiving denosumab and identified clinical variables influencing treatment success.

methodsThis retrospective case-control study included 20 patients with osteoporosis receiving denosumab who underwent RCT at a major tertiary hospital between July 2014 and June 2024 (group D), along with 20 age- and sex-matched systemically healthy controls (group C). Among 116 denosumab-treated patients screened, 20 met the strict selection criteria and were enrolled as the study group. Periapical healing was assessed using the Periapical Index (PAI) at a minimum follow-up of 3 months after treatment. Various clinical and radiographic factors, including initial PAI scores and sealer extrusion, were analyzed using logistic regression to determine their impact on healing rates.

resultsThe median follow-up period was 534 (287-956) days for group D and 421 (235-1045) days for group C. The overall periapical healing rates were 75.0.% in the denosumab group and 90.0% in the healthy control group (P = 0.407). Multivariable logistic regression analysis did not identify any statistically significant predictors of healing outcomes. However, higher initial PAI scores (OR = 7.610, P = 0.088) and sealer extrusion (OR = 3.70, P = 0.185) were associated with less favorable outcomes in the multivariable model. Sealer extrusion was significantly associated with healing outcomes in univariate analysis (P = 0.034).

conclusionsWithin the limitations of this study, there was no statistically significant difference in the proportion of healed cases between patients receiving denosumab therapy and healthy controls. These findings suggest that non-surgical root canal treatment may remain a viable tooth-preserving treatment option for patients receiving denosumab therapy. Careful apical control and long-term follow-up may be particularly important in patients presenting with large pre-existing periapical lesions and sealer extrusion.

Indexed as

Bone Density Conservation AgentsDenosumabRoot Canal TherapyWound HealingAgedCase-Control StudiesFemaleHumansMaleMiddle AgedOsteoporosisRetrospective StudiesTreatment OutcomeBone Density Conservation AgentsDenosumabDenosumabMedication-related osteonecrosis of the jaw (MRONJ)OsteoporosisPeriapical index (PAI)Root canal treatmentTreatment outcome

Identifiers

PMID42728582
PMCPMC13563897

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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.