Relationship between self‐rated pain and peri‐implant clinical, radiographic and whole salivary inflammatory markers among patients with and without peri‐implantitis
Bibliographic record
Abstract
BACKGROUND: There are no studies that have evaluated the correlation between self-rated pain, peri-implant clinical and radiographic parameters (plaque index [PI], bleeding on probing [BOP], probing depth [PD], and crestal bone loss [CBL]) and whole salivary interleukin (IL)-1β, IL-6, and tumor necrosis factor-alpha (TNF-α) levels among patients with and without peri-implantitis. PURPOSE: The objective was to evaluate the correlation between self-evaluated pain, peri-implant clinical and radiographic parameters and whole salivary IL-1β, IL-6, and TNF-α levels among patients with and without peri-implantitis. MATERIALS AND METHODS: Included in this study were patients with and without peri-implantitis. Data regarding age, gender, duration of implants in function, and self-perceived pain were recorded using a question. Self-rated pain was assessed using the numeric pain rating scale. Peri-implant PD, PI, BOP, and CBL were recorded and samples of unstimulated whole saliva samples were obtained. Whole salivary IL-1β, IL-6, and TNF-α were measured. Sample-size was approximated and group comparisons were completed. P-values <.05 were regarded as statistically significant. RESULTS: Forty-six male individuals (21 with and 25 without peri-implantitis) were included. The mean age of individuals with and without PiD was 53.71 ± 5.45 and 50.92 ± 6.26 years, respectively. The mean self-rated pain score in patients with and without PiD was 3 ± 2 and zero, respectively. There was no significant difference in the SFR among patients with and without peri-implantitis. Levels of IL-1β (P < .01), IL-6 (P < .01), and TNF-α (P < .01) were significantly elevated in subjects with than without peri-implantitis. Regression analysis-based results reflected no significant association between increasing self-rated pain and whole salivary IL-1β, IL-6, and TNF-α levels. CONCLUSION: Proinflammatory cytokines (IL-1β, IL-6, and TNF-α) are more often expressed in the UWS of patients with than without peri-implantitis. However, the correlation between self-rated pain and whole salivary proinflammatory cytokine profile in patients with peri-implantitis remains unclear.
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".