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Record W3125525693 · doi:10.1111/ipd.12776

A systematic review to inform the development of a Canadian caries risk assessment tool for use by primary healthcare providers

2021· review· en· W3125525693 on OpenAlexafffundabout
Robert J. Schroth, Janet Rothney, Melina Sturym, Darya Dabiri, Donya Dabiri, Cecilia C. Dong, Cameron G. Grant, Tara Kennedy, Rena Sihra

Bibliographic record

VenueInternational Journal of Paediatric Dentistry · 2021
Typereview
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsWestern UniversityUniversity of ManitobaChildren's Hospital Research Institute of ManitobaWinnipeg Regional Health Authority
FundersCanadian Institutes of Health ResearchPublic Health AgencyPublic Health Agency of Canada
KeywordsMedicineRisk assessmentSystematic reviewHealth careMEDLINE

Abstract

fetched live from OpenAlex

BACKGROUND: Caries risk assessment (CRA) tools may assist in identifying children at risk of early childhood caries. AIM: To complete a systematic review of CRA and develop a Canadian CRA tool for preschool children for use in non-dental clinical settings. DESIGN: Systematic searches of relevant databases were conducted. Potential variables were based on strength of associations (odd ratios, relative risk, hazard ratios, etc), frequency of occurrence, and existing CRA tools. Quality of the evidence assessments were performed by at least two review teams through consensus following GRADE. RESULTS: Overall, 25 publications met the inclusion criteria, all prospective in design. Based on this review, variables to be considered when developing a new CRA tool for use with preschool children are as follows: age, socioeconomic status, family toothbrushing habits, fluoride exposure, infant feeding practices, dietary habits/behaviours, dental home, caries experience, visible plaque, and enamel defects. The environmental scan identified 22 CRA tools suggesting other additional variables to consider including in a CRA tool, including special healthcare needs, enamel defects, and dental attendance. CONCLUSIONS: This review informed the development of a Canadian CRA tool for use by primary healthcare professionals, which may improve access to oral health assessments and increase interprofessional collaboration.

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)0.002
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.669
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.042
GPT teacher head0.380
Teacher spread0.338 · 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.

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

Citations38
Published2021
Admission routes3
Has abstractyes

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