Incidence and Characteristics of Acute Referred Orofacial Pain Caused by a Posterior Single Tooth Pulpitis in an Iranian Population
Bibliographic record
Abstract
INTRODUCTION: This study was designed to evaluate incidence and characteristics of acute referred orofacial pain caused by a posterior single tooth pulpitis in an Iranian population. METHODS: In this cross-sectional study, 3,150 patients (1,400 males and 1,750 females) with pain in the orofacial region were evaluated via clinical and radiographic examination to determine their pain source. Patients completed a standardized clinical questionnaire consisting of a numerical rating scale for pain intensity and chose verbal descriptors from short form McGill questionnaire to describe the quality of their pain. Visual analog scale (VAS) was used to score pain intensity. In addition, patients indicated sites to which pain referred by drawing on an illustration of the head and neck. Data were analyzed using chi-square, fisher exact, and Mann-Whitney tests. RESULTS: Two thousand and hundred twenty patients (67/3%) reported pain in sites that diagnostically differed from the pain source. According to statistical analysis, sex (P = 0.02), intensity of pain (0.04), and quality (P = 0.001) of pain influenced its referral nature, while age of patients and kind of stimulus had no considerable effect on pain referral (P > 0.05). CONCLUSION: The results of the present study show the prevalence of referred pain in the head, face, and neck region is moderately high. Therefore, in patients with orofacial pain, it is essential to carefully examination before carrying out treatment that could be inappropriate.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".