A study on the prevalence of dental anxiety, pain perception, and their interrelationship in Chinese patients with oral implant surgery
Bibliographic record
Abstract
BACKGROUND: Accumulating evidence has revealed that dental anxiety (DA) is associated with pain and patient satisfaction related to dental procedures. However, relevant reports are limited and inconsistent in oral implant patients. PURPOSE: The purpose of this study was to investigate the prevalence of dental anxiety, pain perception, and analyze their interrelationship in Chinese patients with oral implant surgery. MATERIALS AND METHODS: A cross-sectional study was performed according to the strengthening the reporting of observational studies in epidemiology (STROBE) guideline. Consecutive patients who received oral implant surgeries during February-March of 2018 in Shanghai Ninth People's Hospital were recruited. The modified dental anxiety scale and visual analog scale were used to evaluate the level of the patient's DA and pain perception. Multivariate logistic regression was applied to analyze the influence of DA on pain perception of patients during oral implant surgery. RESULTS: The prevalences of moderate and high preoperative DA were 66.6% and 11.9% in Chinese patients with oral implant surgery, respectively. Seven points eight percent of patients experienced pain perception during surgery. The result of multiple logistic regression showed that there was no significant influence of moderate preoperative DA (OR = 2.0, 95%CI: 0.5-8.2) on pain perception. However, a significant influence of high preoperative DA (OR = 6.4, 95%CI: 1.3-30.8) was found on pain perception of patients with oral implant surgery. Significant influences of moderate perioperative DA (OR = 5.0, 95%CI: 1.1-22.9) and high perioperative DA (OR = 8.7, 95%CI: 1.1-69.9) were also found on pain perception of patients during oral implant surgery. CONCLUSIONS: The results of the study indicated that DA was very common in Chinese patients with oral implant surgery. DA may increase pain perception of patients during oral implant surgery.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".