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Record W2151752527 · doi:10.1902/jop.2011.110016

A Retrospective Analysis of Implants Immediately Placed in Sites With and Without Periapical Pathology in Sixty‐Four Patients

2011· article· en· W2151752527 on OpenAlexaff
Paul A. Fugazzotto

Bibliographic record

VenueJournal of Periodontology · 2011
Typearticle
Languageen
FieldDentistry
TopicDental Implant Techniques and Outcomes
Canadian institutionsMilton District Hospital
Fundersnot available
KeywordsMedicineDentistryImplantIncisorClinical pathologyDental implantSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Many patients requiring implant therapy present with hopeless teeth exhibiting periapical pathology. The advisability of implant placement in such situations has not been conclusively determined. METHODS: Sixty-four patients underwent therapy in their maxillary incisor region. Treatment consisted of immediate implant placement in a site demonstrating periapical pathology, and immediate implant placement in a "pristine" site, either during the same visit or during separate visits. The implants placed in the sites demonstrating periapical pathology were followed in function for ≤117 months, with a mean time in function of 64 months. The implants placed in pristine sites were followed in function for ≤120 months, with a mean time in function of 62 months. RESULTS: Two implants in the central incisor positions of one patient demonstrated 2 mm of buccal recession after ≈46 months in function. These implants were deemed esthetic failures, despite the absence of inflammation and continued clinical implant immobility, yielding cumulative survival rates of 98.1 and 98.2 for implants placed in sites with periapical pathology and implants placed in sites without periapical pathology, respectively, according to published criteria. CONCLUSIONS: Implants immediately placed in sites demonstrating periapical pathology yielded results comparable to those immediately placed in pristine sites. The difference in survival rates was not statistically significant.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.638

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
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 head0.029
GPT teacher head0.288
Teacher spread0.259 · 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

Citations39
Published2011
Admission routes1
Has abstractyes

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