MétaCan
Menu
Back to cohort
Record W2012028373 · doi:10.1097/id.0b013e318182ed65

Building on the Proceedings of the McGill Conference: Implant-Retained Overdentures in an Area of South America

2008· article· en· W2012028373 on OpenAlexaboutno aff
Michael R. Markiewicz, Mauro Marincola, Luisa Arévalo Tóvar, Joseph E. Margarone, Davis A. Garlapo, Sung‐Kiang Chuang

Bibliographic record

VenueImplant Dentistry · 2008
Typearticle
Languageen
FieldDentistry
TopicDental Implant Techniques and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsImplantDentistryMedicineSurgery

Abstract

fetched live from OpenAlex

PURPOSE: Since the McGill consensus conference, numerous reports have proposed the advantages of the 2-implant-retained overdenture over the conventional denture in the restorative management of the edentulous mandible. The purpose of this article was to demonstrate the use of the 2-implant-retained overdenture in the restorative management of patients with edentulous mandibles in an impoverished population. MATERIALS: To address the study's purpose, the investigators initiated a retrospective cohort study and enrolled a sample of subjects who had mandibular 2-implant overdenture treatment using the protocol described within. The primary predictor variable was whether the patient had mandibular 2-implant overdenture treatment. The primary outcome variable was survival of mandibular 2-implantoverdenture treatment as defined within. RESULTS: The study sample included 35 patients each of whom had 2 mandibular implants placed for a total of 70 implants inserted with the purpose of retaining a mandibular overdenture. The mean clinical follow-up time was 74.7 months, during which there were no incidences of implant failure. Therefore, analytical and survival analyses could not be performed. CONCLUSION: Given the increase in quality of life and ease in implementation, clinicians should now be suggesting the mandibular 2-implant overdenture as the treatment of choice in the management of the edentulous mandible.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score0.717

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
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 head0.047
GPT teacher head0.301
Teacher spread0.254 · 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

Citations2
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueImplant DentistrySame topicDental Implant Techniques and OutcomesFrench-language works237,207