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Record W2151632163

Implant prosthodontic management of anterior partial edentulism: long-term follow-up of a prospective study.

2002· article· en· W2151632163 on OpenAlexaffabout
George A. Zarb

Bibliographic record

VenuePubMed · 2002
Typearticle
Languageen
FieldDentistry
TopicDental Implant Techniques and Outcomes
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEdentulismMedicineDentistryImplantRehabilitationDental prosthesisProspective cohort studyOrthodonticsSurgeryPhysical therapy
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: This paper reports on the long-term outcome of implant-supported posterior-zone prostheses in the first 35 consecutive, partially edentulous patients treated in the Implant Prosthodontic Unit (IPU) at the University of Toronto, Toronto, Ontario. METHODS: A total of 106 Brånemark dental implants were placed in 46 posterior edentulous spans in 35 patients for the management of multiple missing teeth; the patients were followed prospectively. Treatment planning principles involved a minimum of 2 or 3 implants at each edentulous site and scrupulous occlusal prosthodontic designs. RESULTS: The overall survival of posterior implants was 94%. No factors in the patients' history adversely affected implant survival. CONCLUSIONS: This clinical update suggests that the use of Brånemark implants in the rehabilitation of patients who are partially edentulous in the posterior zone is highly effective and that survival of the implants is excellent.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.039
GPT teacher head0.285
Teacher spread0.247 · 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 source (direct Gemma or distilled Codex), 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
Published2002
Admission routes2
Has abstractyes

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Same venuePubMed→Same topicDental Implant Techniques and Outcomes→French-language works237,207→