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Record W4393374078 · doi:10.21203/rs.3.rs-4147261/v1

Association of Vitamin D Receptor Gene Polymorphisms with Caries Risk: A Systematic Review and Meta-analysis

2024· review· en· W4393374078 on OpenAlexaboutno aff
Xiurong Qin, Mei Wang, Linlin Wang, Ying Xu, Shijiang Xiong

Bibliographic record

VenueResearch Square · 2024
Typereview
Languageen
FieldDentistry
TopicDental Health and Care Utilization
Canadian institutionsnot available
Fundersnot available
KeywordsMeta-analysisAssociation (psychology)MedicineGeneCalcitriol receptorGeneticsInternal medicineBioinformaticsBiologyPsychology

Abstract

fetched live from OpenAlex

Abstract Background In this study, we aimed to evaluate the association of Vitamin D receptor (VDR) gene polymorphisms with caries risk in children (< 18 years).Methods The electronic databases PubMed, Cochrane, EMBASE, Web of Science, CNKI, Cqvip, and Wanfang were searched for observational studies on the relationship between VDR polymorphisms and caries, including cohort, case-control, and cross-sectional studies. Quality assessment of selected studies was conducted using the Newcastle Ottawa scale. Odds ratios (OR) with 95% confidence intervals (CI) values for associations of individual VDR polymorphisms with dental caries were calculated based on four genetic models: allelic, recessive, dominant, and overdominant. Of 79 studies considered, 10 (nine case-control and one cross-sectional) were selected for analysis; the studies involved seven VDR single nucleotide polymorphisms: rs731236, rs739837, rs10735810, rs2228570, rs7975232, rs1544410, and rs11568820.Results Alleles C and T of rs10735810 were significantly differently distributed in the caries and caries-free groups (OR = 1.33, 95% CI: 1.30–2.30, P = 0.03), with CC + CT genotypes at this locus associated with greater risk of developing caries than the TT genotype (OR = 1.87, 95%CI: 1.15–3.04, P = 0.01). Further, TT + CC genotype at rs731236 was associated with a 1.33-fold higher risk of caries development than the TC genotype (OR = 1.33, 95%CI:1.06–1.67,P = 0.02). On subgroup analysis, the association between rs731236 and caries risk was affected by dentition type, ethnicity, and genotyping method (permanent dentition: OR = 1.48, 95%CI: 1.07–2.03, P = 0.02; Asian: OR = 1.38, 95%CI: 1.02–1.87, P = 0.03; quantitative PCR test: OR = 1.52, 95% CI: 1.10–2.10, P = 0.01). Genotype distributions at rs1544410, rs739837, rs2228570, and rs7975232 did not differ significantly between the caries and caries-free groups.Conclusions Caries risk was associated with rs731236 and rs10735810 genotypes, and rs731236 may be a risk factor for permanent teeth caries among Asian people.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.022
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0160.028
Bibliometrics0.0070.008
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.096
GPT teacher head0.438
Teacher spread0.341 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2024
Admission routes1
Has abstractyes

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