Assessment of periodontal status among eunuchs residing in Bhopal city, Madhya Pradesh, India: a cross-sectional study.
Bibliographic record
Abstract
AIM: To assess the periodontal status among eunuchs residing in Bhopal city, Madhya Pradesh, India. MATERIALS AND METHODS: Based on convenient non-probability snow ball sampling technique, all the self-identifi ed eunuchs residing in the city of Bhopal along with a matched control consisting of cross section of the general population residing in the same locality where these eunuchs live was examined to assess the periodontal status of the population by using WHO oral health assessment proforma 1997. All the obtained data was entered into a personal computer on Microsoft excel sheet and analyzed by using a software; SPSS version 20. Data comparison was done by applying chi square test, ANOVA and multiple logistic regression analysis. RESULTS: A total of 639 subjects comprised of 207 eunuchs, 218 males and 214 females. The overall gingival and periodontal disease prevalence was 87.3% with calculus and shallow pocket contributing a major part i.e., 67%. Among study participants, 56.9% males were having highest prevalence for calculus. Whereas, eunuchs were having highest prevalence for bleeding (17.4%), shallow pocket (22.7%) and deep pocket (9.7%). However, highest of 19.7% males and 10.1% eunuchs were having attachment loss of 4-5 mm and 6-8 mm respectively. However, 6.3% eunuchs were having attachment loss of 12 mm or more. CONCLUSION: The results of the current study showed poor periodontal status among eunuch population with most of the population requiring simple therapy. This indicates that comprehensive oral hygiene instruction and dental prophylaxis need to be initiated.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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".