MétaCan
Menu
Back to cohort
Record W3042871485 · doi:10.1563/aaid-joi-d-19-00288

Osseodensified Crestal Sinus Window Augmentation: An Alternative Procedure to the Lateral Window Technique

2020· article· en· W3042871485 on OpenAlexaff
Nilesh Salgar

Bibliographic record

VenueJournal of Oral Implantology · 2020
Typearticle
Languageen
FieldDentistry
TopicDental Implant Techniques and Outcomes
Canadian institutionsMerck Canada Inc. (Canada)
Fundersnot available
KeywordsMaxillary sinusMedicineSinus (botany)DentistryPerforationSinus liftWindow (computing)OrthodonticsMaterials scienceComputer science

Abstract

fetched live from OpenAlex

A novel minimally invasive technique, osseodensification, is proposed to facilitate maxillary sinus bone graft augmentation. The osseodensified crestal window overcomes the previous limitations of traditional crestal approaches with respect to residual bone height (RBH) of ≤1.5 mm as well as vertical height of augmentation (>10 mm). Three patients, healthy and non-smoking, with 3 distinct and difficult clinical situations requiring sinus augmentation and having a maximum of 1.5 mm RBH (0.4-1.5 mm) were selected for this procedure. Edentulous sections were large (entire posterior sextant, with and without sinus septa), and small (single hyperpneumatized maxillary molar site). All healing was rapid and uneventful with no instances of sinus membrane perforation or other complications seen. The vertical increase in sinus bone height ranged from 10.3 mm to 13.6 mm. The increase in bone height is comparable to that obtained with lateral window procedures. The osseodensified crestal sinus window technique may be thus be proposed as a possible alternative procedure for the lateral sinus window technique for maxillary sinus bone augmentation.

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)0.000
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: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.460
Threshold uncertainty score0.667

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.054
GPT teacher head0.349
Teacher spread0.295 · 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 designCase report
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

Citations30
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Oral ImplantologySame topicDental Implant Techniques and OutcomesFrench-language works237,207