A Determination of Salivary and Serum Glucose Levels in Patients With Type II Diabetes Mellitus
Bibliographic record
Abstract
AIM: The aim of this work was to determine and compare serum and salivary glucose levels in patients with type II diabetes mellitus (DM). MATERIAL AND METHODS: This study had an overall sample size of 100, which consisted of male and female volunteers aged 30-67 years. Both in-depth interviews and physical tests were conducted. Blood and saliva were collected from the participants while fasting, which were analyzed to determine the levels of salivary alpha-amylase (α-amylase). Both the subjects and the controls were instructed to test their blood glucose levels while fasting and it was suggested that HbA1c values will be used for diagnosing diabetes following the guidelines of the American Diabetes Association, Centers for Disease Control, and World Health Organization. RESULTS: The average age of the control group (Category A) was noted as 47.52±6.28 years, and that of the study group (Category B) was 49.17±7.25 years. In Category A, female (n=23) were 46%, and 54% were male (n=27); and 40% of the people in Category B were female (n=20), and 60% were male (n=30). The majority of patients (54%) in Category B displayed an average level of DM control (n=27), followed by poor control (24%. n=12), well-controlled (20%, n=10), and uncontrolled DM (2%, n=1). Category A had an average salivary α-amylase concentration of 3.1±0.88 U/L, whereas that of Category B was 12.06±2.36 U/L. Thus, the mean salivary α-amylase level of Category B was found to be much higher than that of Category A, and this difference was statistically significant (p<0.001). CONCLUSION: The determination of α-amylase levels in the saliva of individuals suspected of having type II DM has been suggested as a potential diagnostic method. Screenings conducted at healthcare institutions and community health fairs, as well as epidemiological studies, might benefit from this method. We believe that normal clinical practice should include the use of saliva in a broad variety of diagnostic tests.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".