Evaluating the clinical usefulness of structured questions in parosmia assessment
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES/HYPOTHESIS: Parosmia and phantosmia relate to distorted odor perceptions. Little is known about their clinical significance. Measuring phantosmia and parosmia is still not possible. Today, assessment of parosmia or phantosmia relies mainly upon the patient's interview and the physician's experience. Therefore, we investigated the clinical usefulness of four structured questions in comparison to the patient's history regarding their accuracy in terms of the presence of odor distortions. STUDY DESIGN: Tertiary care center outpatient clinic analyses. METHODS: Responses from 193 patients were analyzed. All patients underwent full olfactory work-up (ear, nose, and throat examination, Sniffin' Sticks testing, structural brain imaging) and filled in a questionnaire with four parosmia questions and six questions regarding characteristics and severity of the parosmia. These responses formed the bases of a numerical parosmia score. RESULTS: Patients with parosmia showed significantly lower parosmia scores (P <.001) when compared to either patients with phantosmia or patients without odor distortions. Two questions could be identified that showed a high association to the presence or absence of parosmia. CONCLUSIONS: The present results confirm reports on the high frequency of parosmia and phantosmia among patients suffering from olfactory disorders. A parosmia score could be established that distinguishes between patients with or without odor distortions. The score provides valuable information regarding the presence or absence of parosmia, thus helping the physician during the patient's evaluation.
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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 | 0.002 | 0.002 |
| 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 | 0.001 |
| 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 it