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Record W3160636300 · doi:10.1111/cid.13011

Assessment of bone density and stability with immediately loaded dental implants with the All‐on‐Four technique in free vascularized fibular grafts used for mandibular reconstruction

2021· article· en· W3160636300 on OpenAlexvenueno aff
Mohamed Shawky, Ramy R. Elbeialy, Mohammed Khashaba, Mohamed H. Zedan

Bibliographic record

VenueClinical Implant Dentistry and Related Research · 2021
Typearticle
Languageen
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMasticatory forceFibulaMedicineMandibular archInitial stabilityDentistryRehabilitationMandible (arthropod mouthpart)OrthodonticsDental archArchImplantSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Following free fibula flaps (FFF) reconstruction of mandibular defects the patients need an early dental rehabilitation to regain their masticatory function and enhance their feeding and nutrition. METHODS: This study included 10 patients, with mandibular defects previously reconstructed with FFF that span the area between the two mandibular angles. They received a full arch fixed restoration supported by four implants using a pilot drilling guide to perform a flapless operation. The stability of the placed dental implants was assessed along with the changes in bone density. RESULTS: There was a statistically significant increase in stability after 3 and 6 months, and there was a decrease in density after 6 months. The patient satisfaction improved over the follow-up period. CONCLUSION: The All-on-Four technique is reliable and economic for early functional rehabilitation of resected jaws reconstructed with FFF; however, further studies are needed to investigate the changes in fibula bone density over time and with function.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.191
Threshold uncertainty score0.604

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.077
GPT teacher head0.400
Teacher spread0.323 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations7
Published2021
Admission routes1
Has abstractyes

Explore more

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