Association between DEFB1 polymorphisms and periodontitis: a meta-analysis
Bibliographic record
Abstract
Previous studies showed that DEFB1 gene polymorphisms may impact the development and progression of periodontitis; nevertheless, inconsistent conclusions were described. This study meta-analytically explored the association between periodontitis the DEFB1 gene polymorphisms and periodontitis. We searched PubMed, Embase, Springer and Cochrane Library for the relevant case-control studies of periodontitis up to February 13th, 2019. Two reviewers selected studies according to the predefined inclusion and exclusion criteria. Newcastle-Ottawa Scale (NOS) was used to assess the quality of studies, and the combined effect size was calculated using R 3.12 software. A total of 9 studies involving 4113 patients and 2373 controls were included. Meta-analysis of DEFB1-G1654A gene polymorphisms showed that there were significant differences in model A vs. G (OR = 3.7876, 95%CI = 2.9051-4.9382, P < 0.001), AA vs. GG (OR = 4.6743, 95%CI = 3.0900-7.0710, P < 0.001), AA vs.GG + AG (OR = 3.5131, 95%CI = 2.4496-5.0384, P < 0.001), AA + AG vs. GG (OR = 4.3087, 95%CI = 2.8827-6.4402, P < 0.001) and AG vs. GG (OR = 3.0639, 95%CI = 1.6804-5.5863, P = 0.003). However, no significant differences were found between DEFB1 rs11362, rs1799946 and rs1800972 and periodontitis. Sensitivity analysis implied that our results were robust and no publication bias was noticed. Our meta-analysis showed that the DEFB1-G1654A polymorphism may be a genetic susceptibility factor for periodontitis.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".