Elderly Canadians residing in long-term care hospitals: Part II. Dental caries status.
Bibliographic record
Abstract
BACKGROUND: Dental caries has been identified as a significant problem for elderly residents of long-term care (LTC) hospitals in developed countries, yet little recent information is available for the Canadian population. OBJECTIVE: To document the caries status of elderly dentate residents of intermediate and extended LTC hospitals in Vancouver and surrounding communities. METHODS: A dentist examined the teeth of 369 elderly dentate hospital residents (coronal and root surfaces) for caries. The medical, dietary, oral microbial, oral hygiene and dental status of the same subjects are documented and discussed in a companion article. RESULTS: Two hundred and ninety (78.6%) of the subjects had at least one carious lesion; 186 (50.4%) had coronal caries and 254 (68.8%) had root caries. On average, each subject had 3.8 carious teeth. The residents of extended LTC hospitals had significantly more carious coronal surfaces. Lactobacillus scores were correlated with the DMFS (decayed, missing, filled surfaces), the number of carious coronal lesions, the number of carious surfaces and the plaque index, but Streptococcus mutans scores were correlated only with DMFT (decayed, missing, filled teeth). CONCLUSIONS: Overall, the prevalence of dental caries among the elderly residents of LTC hospitals in this study was high, although almost half of the subjects had visited community dentists within the previous 5 years. Caries prevention strategies (specifically diet, oral hygiene and antimicrobial agents) rather than treatment alone may be needed to control caries in this susceptible population.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".