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Record W7117485107 · doi:10.1111/cid.70106

Maxillary Ridge Split and Expansion Augmented by Autologous Tooth Graft: Randomized Controlled Clinical Trial

2025· article· en· W7117485107 on OpenAlexvenueno aff
Walid Elamrousy, Mohamed Marzok, Mohamed Nassar, Wael M. El‐Deeb, Mahmoud Kandeel, Mohamed Y. Abdelfattah, Adel I. Almubarak, Zakriya Al Mohamad, Moustafa Abdou, Sherief M. Abdel‐Raheem, Hamada Ahmed Deyab, Ahmed I. Abdul‐Aziz, Sayed El‐Hawari, Dalia Rasheed Issa

Bibliographic record

VenueClinical Implant Dentistry and Related Research · 2025
Typearticle
Languageen
FieldDentistry
TopicDental Implant Techniques and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsAlveolar ridgeRidgeClinical trialAlveolar processClinical efficacy

Abstract

fetched live from OpenAlex

OBJECTIVES: The current trial investigated the clinical and radiological effectiveness of utilizing un-demineralized autologous tooth graft as a graft material after ridge split and expansion approach combined with simultaneous dental implant placement compared to autologous bone graft (harvested from the chin) for reconstructing horizontally deficient alveolar ridges. MATERIALS AND METHODS: Fifty-two individuals with a total of 60 horizontally compromised alveolar ridge sites in the maxillary anterior region were recruited for this study. Participants were randomly assigned to two groups: the control group (each 30 implants in 26 patients) received autologous bone graft for peri-implant augmentation following ridge split and expansion with simultaneous implantation, while the study group used un-demineralized autologous tooth graft. Quotient of implant stability, horizontal ridge width, marginal bone level, vertical defect depth, and bone density was recorded and assessed throughout the study period. RESULTS: The Amount of Expansion of Both Groups Immediately After Surgery Revealed a Non-Significant Difference (B = 0.02, p = 0.760), while 12 Months Later a Significant Higher Ridge Expansion Values Was Observed in the UATG Group Over the ABG Group (B = 1.66, p < 0.001). The Implant Stability Quotient in the UATG Group Demonstrated a Significant Rise After 6- and 12-Months From Surgical Intervention Compared to the ABG Group as (B = 5.75, p < 0.001), (B = 7.46, p < 0.001) Respectively. Upon Comparing the Marginal Bone Loss, Non-Significant Difference Was Detected Either 6 or 12-Months Postoperatively (B = 0.03, p = 0.339, B = 0.03, p = 0.425, Respectively) The Peri-Implant Bone Defects in the UATG Group Showed Significantly Higher Bone-Fill Compared to the ABG Group by the End of the Study (B = -1.08, p < 0.001) Moreover, the UATG Group Demonstrated a Significant Gain in the Mean Bone Density After 6- and 12-Month Post-Surgically Over the ABG Group (B = 367.30, p < 0.001, B = 408.44, p < 0.001, Respectively). CONCLUSIONS: Applying un-demineralized autologous tooth graft in bony defects surrounding implants after ridge split/expansion and simultaneous implantation for the reconstruction of ridge defects horizontally enhanced the peri-implant outcomes clinically and radiographically. As far as we know, this was the first attempt to utilize an un-demineralized autologous tooth graft with ridge split and expansion with simultaneous implantation to reconstruct laterally compromised alveolar ridge defects.

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)0.003
metaresearch head score (Gemma)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.091
GPT teacher head0.487
Teacher spread0.395 · 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
GenreEmpirical

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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