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Effect of hyaluronic acid on alveolar ridge regeneration: a systematic review and meta-analysis assisted by the DeepSeek large language model

https://doi.org/10.33925/1683-3759-2026-1191

Abstract

Relevance. Despite sustained research interest, the prevention of regressive changes associated with the absence of mechanical stimuli for bone remodeling and inflammatory alveolar ridge resorption continues to present a clinical challenge. Current alveolar ridge preservation protocols rely predominantly on xenogeneic and alloplastic biomaterials to support new mineralized tissue formation. However, the quality of the regenerated tissue remains suboptimal. High-molecular-weight hyaluronic acid has therefore been proposed as a bioactive adjunct because of its role in cell signaling, extracellular matrix formation, and the regulation of bone growth and mineralization. Objective: To evaluate the additional beneficial effect of exogenous hyaluronic acid combined with osteoconductive biomaterials on alveolar ridge defect repair.

Materials and methods. A targeted literature search based on predefined keywords and eligibility criteria was conducted for studies published between 2014 and 2025 in the PubMed/MEDLINE, CyberLeninka, and eLIBRARY databases. Study identification, screening, and selection were performed in accordance with PRISMA guidelines for systematic reviews and meta-analyses. The risk of bias in the four randomized controlled trials included in the review was assessed using the RoB 2.0 tool. Statistical analysis and data visualization were performed using the DeepSeek large language model (LLM), which generated Python code for the meta-analysis. Standardized mean differences (Cohen’s d) were calculated, pooled effect estimates were derived using a DerSimonian–Laird random-effects model, heterogeneity was assessed using I2, and forest and funnel plots were generated. All LLM-assisted outputs were verified at each stage of the analysis.

Results. The meta-analysis showed that exogenous hyaluronic acid had a statistically significant positive effect on new bone formation and significantly reduced the proportion of residual nonresorbed osteoconductive particles compared with the control group (p = 0.0035, 95% CI [0.275, 1.404] and p = 0.0001, 95% CI [−1.615, −0.547], respectively). In contrast, the percentage area of connective tissue structures/bone marrow spaces within alveolar ridge repair sites showed no significant effect of the bioactive polymer on new tissue modeling (p = 0.1881, 95% CI [−0.248, 1.263]). All assessed bone substitution outcome parameters showed a high degree of heterogeneity (I2 = 94.9%, 92.6%, and 96.7%, respectively). The main limitations of this meta-analysis include the small number of relevant studies, differences in study design, materials, and treatment protocols, wide variation in follow-up periods, and, more importantly, heterogeneity in the methods used to assess and interpret morphological outcomes, including histological and histomorphometric parameters.

Conclusion. High-molecular-weight hyaluronic acid exerts an additional beneficial effect on reparative remodeling of the alveolar ridge. The findings of this meta-analysis emphasize the importance of standardized outcome assessment protocols and the need for further studies to better define the outcomes of reconstructive procedures using more robust and objective evaluation measures.

About the Authors

M. D. Perovа
Kuban State Medical University
Russian Federation

Marina D. Perova, DDS, PhD, DSc, Docent, Professor, Department of the Oral and Maxillofacial Surgery

4 Mitrofan Sedin Str., Krasnodar, 350063



I. Alayoub
Kuban State Medical University
Russian Federation

Iyad Alayoub, DDS, PhD student, Department of the Oral and Maxillofacial Surgery

Krasnodar



G. V. Andreev
Kuban State Medical University
Russian Federation

Georgy V. Andreev, 5th year student, Dental School, Department of the Oral and Maxillofacial Surgery

Krasnodar



I. D. Samokhvalova
Kuban State Medical University
Russian Federation

Inna D. Samokhvalova, DDS, PhD student, Department of the Oral and Maxillofacial Surgery

Krasnodar



K. V. Gulumyan
Kuban State Medical University
Russian Federation

Kamila V. Gulumyan, 5th year student, Dental School, Department of the Oral and Maxillofacial Surgery

Krasnodar



G. V. Kalaidina
Kuban State University
Russian Federation

Galina V. Kalaidina, PhD, Associate Professor, Department of the Data Analysis and Artificial Intelligence

Krasnodar



A. A. Khalafyan
Kuban State University
Russian Federation

Aleksan A. Khalafyan, PhD, DSc, Professor, Department of the Data Analysis and Artificial Intelligence

Krasnodar



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Perovа MD, Alayoub I, Andreev GV, Samokhvalova ID, Gulumyan KV, Kalaidina GV, Khalafyan AA. Effect of hyaluronic acid on alveolar ridge regeneration: a systematic review and meta-analysis assisted by the DeepSeek large language model. Parodontologiya. 2026;31(1):4-18. (In Russ.) https://doi.org/10.33925/1683-3759-2026-1191

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