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Retention of resin‐based pit and fissure sealants: a systematic review

2006· review· en· W2008898406 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCommunity Dentistry And Oral Epidemiology · 2006
Typereview
Languageen
FieldDentistry
TopicDental materials and restorations
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineFissureDentistryOrthodonticsComposite material

Abstract

fetched live from OpenAlex

The aim of the present study was to perform a systematic review on the retention of resin-based sealants (RBSs) according to the material used and the clinical procedure. An electronic search in MEDLINE, EMBASE, Cochrane library and SCOPUS was completed by a hand search in conference proceedings. One hundred and twenty-four studies were identified, 31 of which were included. The retention rate of auto-polymerized and light-cured RBSs did not differ significantly. Light-cured RBSs had a significantly higher retention rate than fluoride-containing light-cured RBSs at 48 months (RR = 0.80, 95% CI: 0.72-0.89) and more. Concerning the clinical procedure, the scarcity of well-conducted studies made judgement difficult, except for the isolation stage. If using a rubber dam did not affect retention of auto-polymerized RBSs, it did for fluoride-containing light-cured RBSs (RR = 2.03, 95% CI: 1.51-2.73).

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.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.145
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0050.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.166
GPT teacher head0.420
Teacher spread0.255 · 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