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Record W4410776737 · doi:10.2196/70649

Comparative Evaluation of the Effectiveness of Demineralized Freeze-Dried Bone Allografts With Titanium Platelet-Rich Fibrin and Autologous Dentin Graft With Titanium Platelet-Rich Fibrin for Alveolar Socket Preservation: Protocol for a Randomized Controlled Trial

2025· article· en· W4410776737 on OpenAlexvenueno aff
Shivani Thakre, Pavan Bajaj

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldMedicine
TopicPeriodontal Regeneration and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPlatelet-rich fibrinDentistryFibrinMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: Postextraction ridge resorption compromises the aesthetics and function of the subsequent implant therapy or prosthetic rehabilitation. Several techniques are employed to reduce ridge resorption, ranging from basic socket fillers such as blood clot preservation to more advanced techniques using barrier membranes and bone grafts such as autografts, allografts, xenografts, and synthetic materials. OBJECTIVE: The aim of this study is to evaluate and compare the effectiveness of alveolar socket preservation by using demineralized freeze-dried bone allograft (DFDBA) with titanium platelet-rich fibrin (T-PRF) and autologous dentin graft (ADG) with T-PRF. This assessment will be performed through comprehensive clinical, radiographic, and histomorphometric analyses. The primary objective of this study is to histologically evaluate the new bone formation in the extraction sockets preserved using either DFDBA with T-PRF or ADG with T-PRF. The secondary objective is to evaluate the dimensional changes, including ridge width and height at these healing points, as measured by clinical and radiographic methods. We will evaluate and compare the clinical, radiographic, and histomorphometric outcomes of using DFDBA with T-PRF versus ADG with T-PRF for maintaining socket integrity after tooth extraction. We will also ascertain which grafting technique facilitates the production of new bone during the healing phase and preserves alveolar ridge dimensions. METHODS: This randomized controlled trial will involve 16 patients aged 22-60 years requiring tooth extractions and subsequent implant placement. Participants will be randomly assigned to one of the 2 groups: (1) socket preservation using DFDBA in combination with T-PRF or (2) socket preservation using ADG with T-PRF. At baseline, all the clinical variables will be assessed using UNC-15 probe and cone beam computed tomography radiographs. Extraction will be done atraumatically with minimal flap reflection by using periotomes. Postextraction sockets will be preserved using DFDBA+T-PRF or ADG+T-PRF. At 4 months, clinical and radiographic evaluations will be done, and the implant will be placed using a 2-stage protocol. Histomorphometric analysis will be performed after receiving bone samples during implant placement. At 3 months after implant placement, the second-stage surgery will be done. RESULTS: Participant enrollment commenced in March 2024, and the study is scheduled to conclude postassessments and analyses by the end of 2025. The results of this study are anticipated to be accessible in late 2025. This study is not funded, and the results are expected to be published by 2026. CONCLUSIONS: This study represents valuable insights into the clinical effectiveness of 2 biologically driven socket preservation techniques. We hypothesize that the use of ADG combined with T-PRF will show similar or more effective outcomes in alveolar socket preservation demonstrated by enhanced bone formation and better maintenance of socket dimensions compared to DFDBA combined with T-PRF without increased morbidity. TRIAL REGISTRATION: Clinical Trials Registry - India CTRI/2024/05/068192; https://ctri.nic.in/Clinicaltrials/pmaindet2.php?EncHid=MTI1NzIz&Enc=&userName=. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/70649.

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)0.023
metaresearch head score (Gemma)0.019
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 score0.023
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.019
Meta-epidemiology (narrow)0.0060.002
Meta-epidemiology (broad)0.0120.004
Bibliometrics0.0020.003
Science and technology studies0.0020.004
Scholarly communication0.0030.002
Open science0.0030.001
Research integrity0.0060.005
Insufficient payload (model declined to judge)0.0230.003

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 head0.137
GPT teacher head0.505
Teacher spread0.368 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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