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Systematic Review of Conservative Operative Caries Management Strategies

2001· review· en· W1909378200 on OpenAlexaff
Dorothy McComb

Bibliographic record

VenueJournal of Dental Education · 2001
Typereview
Languageen
FieldDentistry
TopicDental materials and restorations
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDentitionDentistryMedicineLongevityGlass ionomer cementPermanent dentitionConservative managementConservative treatmentDental restorationOrthodonticsSurgeryGerontology

Abstract

fetched live from OpenAlex

The relationship between cavity preparation extension and restoration longevity is examined through a systemic review of the available evidence on specific conservative, operative caries-management strategies. Evidence tables are provided for three specific techniques in the permanent dentition: 1) the proximal "tunnel" restoration, 2) the proximal "box-only" restoration, and 3) the preventive resin restoration. In the primary dentition, the clinical trials involving the proximal box-only restoration, most of which involved glass-ionomer materials, are reviewed. In the permanent dentition, the evidence reveals low effectiveness for "tunnel" restorations, limited but supportive results for proximal-only restorations, and generally favorable outcomes for the occlusal composite resin-sealant restoration. The weak link in the latter is the overlying fissure sealant, which requires adequate ongoing maintenance. Conservative operative strategies in the primary dentition have not been uniformly successful, and deleterious material effects dominate restoration performance. This systematic review concludes that operative conservatism per se does not guarantee increased restoration longevity and that all restorations are vulnerable to caries recurrence, material failures, and technical deficiencies. The more successful conservative strategies are expected to enhance tooth longevity, provided concomitant caries control is effective.

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: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.084
Threshold uncertainty score0.805

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
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 head0.402
Teacher spread0.368 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations50
Published2001
Admission routes1
Has abstractyes

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