Relationship between periodontitis and microangiopathy in type 2 diabetes mellitus: a meta‐analysis
Bibliographic record
Abstract
OBJECTIVE: Whether periodontitis increases the risk of diabetic microangiopathy remains controversial. The present meta-analysis aims to investigate the relationship between periodontitis and diabetic microangiopathy in patients with type 2 diabetes mellitus. METHODS: PubMed, EMBASE, Web of Science, the Cochrane Library, CNKI, and WanFang data were searched without language restrictions. The methodological quality of the studies included was assessed using Newcastle-Ottawa Scale method, and meta-analysis was performed by Review Manager 5.3. Odds ratio (OR) and 95% confidence interval (CI) were used to assess the risk of periodontitis for diabetic microangiopathy among patients with type 2 diabetes. RESULTS: Thirteen cross-sectional studies, covering 10 570 participants, were included in the present meta-analysis. The results demonstrated that periodontitis was associated with increased risk of type 2 diabetic microangiopathy (OR: 2.43, 95% CI: 1.65-3.56), diabetic retinopathy (OR: 4.33, 95% CI: 2.19-8.55), and diabetic nephropathy (OR: 1.75, 95% CI: 1.07-2.85), while periodontitis was not associated with diabetic neuropathy (OR: 0.99, 95% CI: 0.19-5.12). Subgroup analysis among the studies in Asian (OR: 3.06, 95% CI: 1.94-4.84) and North American (OR: 1.42, 95% CI: 1.08-1.86) populations confirmed the existed association between periodontitis and type 2 diabetic microangiopathy. The relationship still existed in groups with sample size larger than 500 (OR: 1.77, 95% CI: 1.34-2.34) and smaller than 500 (OR: 3.33, 95% CI: 1.38-8.03). A sensitivity analysis confirmed the stability of the results by excluding moderate quality studies or removing articles one after the other. CONCLUSION: Current evidences have proved that periodontitis is associated with increased risk of diabetic microangiopathy in patients with type 2 diabetes mellitus. This conclusion may provide useful evidence for correlated clinical researches. PROSPERO registration number CRD42021247773.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.019 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.017 | 0.056 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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 source (direct Gemma or distilled Codex), 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".