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Record W3000325728 · doi:10.1111/jerd.12562

Dental caries,<i>diabetes mellitus</i>, metabolic control and diabetes duration: A systematic review and meta‐analysis

2020· review· en· W3000325728 on OpenAlexaboutno aff
Ana Coelho, Inês Amaro, Francisco Caramelo, Anabela Paula, Carlos Miguel Marto, Manuel Marques Ferreira, Maria Filomena Botelho, Eunice Carrilho

Bibliographic record

VenueJournal of Esthetic and Restorative Dentistry · 2020
Typereview
Languageen
FieldDentistry
TopicOral microbiology and periodontitis research
Canadian institutionsnot available
Fundersnot available
KeywordsMeta-analysisDiabetes mellitusMedicineDentistryMetabolic control analysisInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

OBJECTIVE: To analyze articles aimed at evaluating the association between diabetes, metabolic control, diabetes duration, and dental caries. OVERVIEW: A systematic search in PubMed, Cochrane Library, Embase, and Web of Science was conducted to retrieve papers in English, Portuguese, and Spanish, up to April 2019. The research strategy was constructed considering the "PECO" strategy. Only quantitative observational studies were analyzed. The risk of bias was assessed using the Newcastle-Ottawa Quality Assessment Scale. The meta-analyses were performed based on random-effects models using the statistical platform R. A total of 69 articles was included in the systematic review and 40 in the meta-analysis. Type 1 diabetics have a significantly higher DMFT compared to controls. No significant differences were found between type 2 diabetics and controls and between well-controlled and poorly controlled diabetics. Concerning diabetes duration, all authors failed to find differences between groups. CONCLUSION: Although there is still a need for longitudinal studies, the meta-analysis proved that type 1 diabetics have a high dental caries risk. CLINICAL SIGNIFICANCE: It is necessary to be aware of all risk factors for dental caries that may be associated with these patients, making it possible to include them into an individualized prevention program.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.715
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0090.002
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.036
GPT teacher head0.332
Teacher spread0.296 · 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 designMeta-analysis
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

Citations34
Published2020
Admission routes1
Has abstractyes

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