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Record W2110210893 · doi:10.1111/cid.12188

Orbit Rehabilitation with Extraoral Implants: Impact of Radiotherapy

2014· article· en· W2110210893 on OpenAlexvenueno aff
Reinaldo Guedes, Monica Marcelino Pires de Mello, Joaquim Augusto Piras de Oliveira, Vanessa Gallego Arias Pecorari, Márcio Abrahão, Ulf Nannmark, Luciano Lauria Dib

Bibliographic record

VenueClinical Implant Dentistry and Related Research · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicOcular Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsOsseointegrationMedicineImplantDentistryRehabilitationOrbit (dynamics)Survival rateIrradiationRadiation therapySurgeryPhysical therapy

Abstract

fetched live from OpenAlex

PURPOSE: The aim of the study was to compare the success rates of osseointegration among irradiated and nonirradiated cases submitted to implant placement for anchorage of orbit prostheses from 2003 to 2011. MATERIALS AND METHODS: Charts of 45 consecutive patients were analyzed, 31 men and 14 women, and they were divided in two groups, considering previous irradiation therapy. Nonirradiated group had 33 patients, and irradiated group had 12 patients. In total, 138 implants were installed, 42 (30.4%) in previously irradiated bone. RESULTS: The overall implant survival rate was 96.4% with a success rate of 99.0% among the nonirradiated patients and 90.5% among the irradiated patients (p = 0.03). CONCLUSIONS: Results showed that irradiated sites had a worse prognosis related to success of osseointegration, although the 90.5% survival rate in this group indicates that implant placement is a feasible alternative to anchor orbit prostheses considering the benefits that this technique offers to patients.

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)0.001
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 score0.122
Threshold uncertainty score0.320

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.034
GPT teacher head0.437
Teacher spread0.403 · 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

Citations10
Published2014
Admission routes1
Has abstractyes

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