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Record W4415045673 · doi:10.2196/69666

Comparative Evaluation of Autologous Sticky Bone, Platelet-Rich Fibrin, and Octacalcium Phosphate–Coated Deproteinized Bovine Bone Material for the Regeneration of Human Periodontal Infrabony Defects: Protocol for a Randomized Controlled Clinical Trial

2025· article· en· W4415045673 on OpenAlexvenueno aff
Sakshi Kotecha, Shweta Bhagat

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldMedicine
TopicPeriodontal Regeneration and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsRandomized controlled trialClinical trialRegeneration (biology)Protocol (science)Chronic periodontitisFurcation defect

Abstract

fetched live from OpenAlex

BACKGROUND: The term periodontium encompasses the supporting structures around a tooth, including gingival tissue, alveolar bone, cementum, and periodontal ligament. Periodontal disorders are highly prevalent, affecting approximately 95% of the Indian population. Restoring the missing attachment apparatus is the main goal of regenerative therapy in cases of periodontal disease. The reproduction or rebuilding of damaged or lost periodontal tissue to restore the structure and functionality of the periodontium is known as regeneration. This study investigates the effectiveness of autologous sticky bone (ASB), autologous platelet-rich fibrin (PRF), and octacalcium phosphate-coated deproteinized bovine bone material (OCP-DBBM). These materials are being evaluated for their potential to enhance bone regeneration in infrabony defects, which are a significant concern in periodontal therapy. Effective bone regeneration is critical for the successful treatment of periodontal defects, as it can lead to improved clinical outcomes, including better attachment levels and reduced probing depths. This study aims to provide insights into the most effective methods for achieving these goals. OBJECTIVE: We aim to assess the efficacy of ASB and autologous PRF in conjunction with OCP-DBBM in infrabony defects at 6 months after surgery with regard to radiographic bone fill, reduction in probing pocket depth, and increase in clinical attachment level. METHODS: This randomized controlled clinical trial will be performed on 20 defects in patients diagnosed with stage 2 and 3 grade B periodontitis. It will be a parallel-designed study where group 1 (n=10) will be treated with ASB and group 2 (n=10) will be treated with autologous PRF and OCP-DBBM. One sitting will be required to perform the treatment, and a follow-up checkup will be done at 6 months. RESULTS: Recruitment procedures started in June 2025. All data are anticipated to be collected by February 2026. Full trial results are anticipated to be analyzed and submitted for publication by March 2026. The study's anticipated end date is March 2026. CONCLUSIONS: Both treatment approaches are expected to lead to notable gains in periodontal health and bone regeneration. The primary outcome, radiographic bone fill, and the secondary outcomes, clinical attachment level gain and probing pocket depth reduction, are critical indicators of treatment success. TRIAL REGISTRATION: Clinical Trials Registry-India CTRI/2024/06/069603; https://www.ctri.nic.in/Clinicaltrials/pmaindet2.php?EncHid=MTAzODk0&Enc=&userName=. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/69666.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.019
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.019
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0190.010
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0100.003
Bibliometrics0.0020.002
Science and technology studies0.0020.004
Scholarly communication0.0020.002
Open science0.0030.001
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0190.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.265
GPT teacher head0.581
Teacher spread0.315 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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