Using a Halitometer to Verify the Symptoms of Halitosis
Bibliographic record
Abstract
Background. Halitosis, or bad breath, is believed to be caused by the metabolism of microorganisms, mainly anaerobic bacteria, inhabiting the oral cavity which release volatile sulfur compounds (VSCs). The high incidence of this condition and the lack of effective treatment methods make it a significant problem of contemporary den− tistry. Objectives. The aim was to objectivize halitosis symptoms using a halitometer and to determine the microbiolog− ical spectrum from smears collected from the tongue root and periodontal pockets of patients with clinical symp− toms of halitosis. Material and Methods. The study involved 67 patients of both sexes, divided into two groups: those with symp− toms of halitosis (36 subjects, mean age: 38.0 years) and those without (31 subjects: mean age: 33.8 years). Subjects classified as generally healthy were qualified for the examinations. Halitosis symptoms were objectivized using a halitometer (RH−17 Halimeter, Interscan Corp., USA and Canada) in units of parts per billion (ppb). Mean halitometric readings (from three examinations) above 125 ppb were considered halitosis positive. Clinical exam− ination evaluated oral hygiene (PIl index according to Loe and Silness, PI2 according to O’Leary, and API accord− ing to Lange et al.) and the condition of the periodontium (PBI index according to Saxer and Muhlemann and peri− odontal pocket depth using a Periprobe electronic probe on four dental surfaces). Bacteriological evaluation involved smears from the back of the tongue and, in case of inflammation, also from the periodontal pockets. Statistical analysis was performed using the chi−squared test and the non−parametric Mann−Whitneys U test assum− ing a level of significance of p < 0.05. Results. The bacterial species Prevotella oralis, Prevotella dentalis, and Leptotrichia buccalis significantly affect− ed the VSC levels. The highest halitometer values were observed in patients whose bacterial levels were high. The clinical parameters did not differ significantly between the groups. Conclusions. The use of a halitometer enables an objective, reproducible measurement of volatile sulfur com− pounds in expired air. Halitometer readings increase with increased levels of some oral bacteria. Tests using a hal− itometer confirm less objective organoleptic examinations; however, it should be remembered that the instrument does not evaluate other smells (Adv Clin Exp Med 2007, 16, 3, 411–416).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".