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Record W3118998045 · doi:10.1080/00016357.2020.1849792

Dental caries prevalence in children with congenital heart disease – a systematic review

2021· review· en· W3118998045 on OpenAlexaboutno aff
Essi Karikoski, Taisto Sarkola, My Blomqvist

Bibliographic record

VenueActa Odontologica Scandinavica · 2021
Typereview
Languageen
FieldMedicine
TopicInfective Endocarditis Diagnosis and Management
Canadian institutionsnot available
FundersMinerva FoundationFinska Läkaresällskapet
KeywordsMedicineHeart diseasePediatricsMEDLINEPopulationEndocarditisDentistryInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

AIM: Poor oral health is related with bacteraemia that may lead to endocarditis in children with congenital heart disease (CHD). The aim of this study was to conduct a systematic literature review to compare caries prevalence in children (<18 years of age) with CHD with healthy children. MATERIAL AND METHODS: A literature search of studies from two online databases (Pubmed (MEDLINE) and Scopus) published from January 2000 to October 2019 using Medical subject heading terms Congenital Heart Disease, Congenital Heart Defect, and Caries was done, and manual search from the reference lists of selected publications. PICO (Patient/Population, Intervention, Comparison group, and Outcome) criteria was applied. Quality of the publications was assessed with the modified Newcastle-Ottawa scale. RESULTS: The search resulted in 151 articles of which nine fulfilled the inclusion criteria. Caries prevalence was significantly higher in children with CHD compared to healthy children in three out of nine studies. Information on predisposing background factors was limited but difference in caries prevalence was not attributed to SES. The quality of the studies varied. CONCLUSIONS: Although evidence is limited, the current literature indicates that children with CHD experience a higher caries prevalence compared to healthy children.

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)0.001
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 score0.072
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.027
GPT teacher head0.322
Teacher spread0.295 · 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

Citations24
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueActa Odontologica ScandinavicaSame topicInfective Endocarditis Diagnosis and ManagementFrench-language works237,207