The Association Between Thalassemia Major and Periodontal Health
Bibliographic record
Abstract
BACKGROUND: The aim of this cross-sectional study is to compare the local and systemic levels of soluble receptor activator of nuclear factor-κB ligand (sRANKL), osteoprotegerin (OPG), a proliferation-inducing ligand (APRIL), B-cell activating factor (BAFF), interleukin (IL)-6, and IL-8 in biofluids of patients with thalassemia major (TM) with or without gingivitis. METHODS: Seventy-seven patients are included in this study (TM, n = 29; systemically healthy, n = 48). Gingival crevicular fluid (GCF), saliva, and serum levels of IL-6, IL-8, sRANKL, OPG, BAFF, and APRIL were determined by enzyme-linked immunosorbent assay. Data were analyzed by appropriate non-parametric or parametric statistical tests. RESULTS: Median GCF, serum, and saliva levels for BAFF (P <0.001) and IL-6 and IL-8 (P <0.005) were higher in TM gingivitis than in systemically healthy gingivitis (P <0.001). GCF, serum, and saliva levels for APRIL, sRANKL, IL-6, and IL-8 were higher in TM than in systemically and periodontally healthy comparison groups (P <0.05). Positive correlations were found between bleeding on probing (BOP), plaque index (PI) scores, and GCF APRIL, serum sRANKL, serum OPG, and sRANKL concentrations in TM groups (P <0.05). Several significant positive correlations were found between BOP, PI scores, and biofluid parameters also in systemically healthy groups. CONCLUSION: TM may have a role in the underlying systemic hematologic condition and potentially affect gingival inflammation via dysregulation of lymphocytes and increased activation of osteoclasts.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 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".