Comparison of salivary beta-defensin-1 levels in patients with periodontitis before and after phase I periodontal therapy
Bibliographic record
Abstract
Background. This study compared human β-defensin 1 (hBD-1) salivary levels in patients with periodontitis before and after phase I periodontal therapy. Methods. This controlled before-and-after study included 16 patients in the intervention group and 28 participants in the control group. Patients in the intervention group had stage 3 grade B periodontitis with no systemic diseases and had not taken any medications in the last six months. The control group included participants with healthy periodontium. Before and after phase I periodontal therapy, salivary samples were collected from the intervention group. ELISA was used to measure hBD-1 levels. Results. Salivary levels of hBD-1 decreased after phase I periodontal treatment in periodontitis patients, approaching those in healthy individuals. However, this reduction was not statistically significant (P=0.389). In patients with a probing depth (PD) of at least 3 mm, salivary levels of hBD-1 decreased significantly (P=0.019) following the intervention. There was no significant correlation between changes in hBD-1 levels and clinical indices, such as clinical attachment loss (CAL), probing depth, or bleeding index (BI) (P˃0.05). Conclusion. The current study demonstrated promising results concerning a probable link between hBD-1 and periodontitis. However, more research with sufficiently large sample sizes and more robust study designs is necessary.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".