Palatogingival grooves associated with periodontal bone Loss of maxillary incisors in a Chinese population
Bibliographic record
Abstract
This study aimed to investigate the prevalence of palatogingival grooves (PGGs) in a Chinese population and the relationship between different types of PGGs and periodontal bone loss. CBCT images of 1715 patients were included in the study. The prevalence of PGGs of the maxillary incisors by sex and tooth type was analysed. The severity of alveolar bone loss in different types of PGGs was assessed. The reasons for taking the CBCT from patients with PGGs were collected. The frequency of PGGs in males (10.16%) was higher than that in females (7.05%) (P < 0.05). PGGs were present more often in maxillary lateral incisors (4.5%) than in maxillary central incisors (0.29%). Compared with other types of PGGs, the type I PGGs were the most prevalent configuration and accompanied with less severity of alveolar bone loss (P < 0.05). Less than half of PGGs cases (47.9%) were prescribed CBCT examination because of the PGGs observed or suspected clinically. The prevalence of PGGs in a Chinese population was higher in males than in females. The different types of PGGs might lead to different severity of periodontal bone destruction. Clinicians should be aware of the presence of PGGs in maxillary incisors, particularly maxillary lateral incisors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 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".