Diagnostic biomarkers for periodontitis (observational case-control study)
Bibliographic record
Abstract
Background: Early detection of periodontal tissue loss prevents further development and halts additional damage. The purpose of this study was to investigate the diagnostic ability of salivary Pyridinoline cross-linked carboxy-terminal telopeptide of type I collagen (ICTP) and deoxypyridinoline (DPD) in differentiating periodontitis from periodontal health. Material and method: A case-control included 80 participants who were divided into two groups: 40 periodontitis patients and 40 subjects with a healthy periodontium. Salivary samples were collected from each patient, followed by a clinical examination. The collected saliva samples were centrifuged and frozen at -80⁰C until analysis using Enzyme-Linked Immunosorbent Assay. Results: the results indicated that both biomarkers were effective in diagnosis periodontitis. The area under the curve (AUC) for ICTP was 0.99 and the proposed cut-off point was 6.6 ng/ml, while for DPD the AUC was 0.95 and the proposed cut-off point was 211.5 nmol/L. Conclusion: Salivary ICTP and DPD demonstrated diagnostic ability in distinguishing periodontitis from a healthy periodontium, making them valuable tools in early detection and management of periodontal diseases.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".