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Fresh‐Frozen Bone Blocks for Horizontal Ridge Augmentation in the Upper Maxilla: 6‐Month Outcomes of a Randomized Controlled Trial

2012· article· en· W1650441211 on OpenAlexvenueno aff
Simone Lumetti, Ugo Consolo, Carlo Galli, Alessandra Multinu, Luigi Piersanti, Pierantonio Bellini, Edoardo Manfredi, Giuseppe Corinaldesi, Davide Zaffe, Guido Maria Macaluso, Claudio Marchetti

Bibliographic record

VenueClinical Implant Dentistry and Related Research · 2012
Typearticle
Languageen
FieldDentistry
TopicDental Implant Techniques and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMaxillaSurgeryBiopsyFrozen section procedureDentistryRadiology

Abstract

fetched live from OpenAlex

PURPOSE: This randomized controlled trial compared fresh-frozen versus autologous bone blocks for maxillary horizontal ridge augmentation in patients with Cawood and Howell class IV atrophies. MATERIALS AND METHODS: Twenty-four patients were allocated to the autologous and fresh-frozen groups in a 1:1 ratio. Patients underwent computed tomography scans 1 week and 6 months after surgery for graft volume and density analysis. Doxycycline was administered at day 120 and day 150 to label new bone formation. Biopsy for histologic and histomorphometric analyses was performed at reentry for implant insertion, 6 months after grafting. RESULTS: Fresh-frozen grafts had lower density than autologous bone. Autologous and fresh-frozen grafts lost, respectively, 25% and 52% of their initial volume (p = .0041). Histology revealed the presence of newly formed bone within both graft types, but clear signs of inflammation were present in fresh-frozen blocks. CONCLUSIONS: According to these 6-month results, autologous bone blocks are preferable to fresh-frozen bone grafts.

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)0.004
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
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.098
GPT teacher head0.465
Teacher spread0.367 · 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

Citations36
Published2012
Admission routes1
Has abstractyes

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