Doppler Ultrasonography of the Vertebrobasilar Circulation in Patients with Sudden Sensorineural Hearing Loss
Bibliographic record
Abstract
BACKGROUND: The etiology of sudden sensorineural hearing loss (SSNHL) is still unclear and is most probably diverse. OBJECTIVE: To determine the relationship between vertebrobasilar circulation and hearing in patients with SSNHL treated with pentoxifylline. DESIGN: Case-control study of 32 consecutive patients with SSNHL. METHODS: Patients with onset of SSNHL within 72 hours were treated with pentoxifylline infusions for 10 days. Transcranial Doppler (TCD) ultrasonography of vertebrobasilar circulation and hearing levels were examined at the onset of SSNHL (before treatment), after 10 days of therapy, and after 3 months. MAIN OUTCOME MEASURES: Hearing levels and TCD ultrasonographic findings at the onset of SSNHL, after 10 days, and after 3 months. RESULTS: Patients with SSNHL had more frequent pathologic TCD ultrasonographic findings compared with a normal population. Thirteen patients with SSNHL had normal TCD ultrasonographic findings, eight had borderline findings, and six had pathologic findings, and in five patients, initially, pathologic TCD ultrasonographic findings improved during therapy. Patients with normal TCD ultrasonographic findings had an average hearing improvement of 17 dB, whereas patients with borderline and pathologic TCD ultrasonographic findings had 3 and 0 dB of average hearing improvement, respectively. The greatest improvement (28 dB) was noticed in patients who showed improvement in TCD ultrasonographic findings. CONCLUSION: Although the number of patients is small, our results led to the conclusion that SSNHL has vascular etiology, at least in some patients. Consequently, the therapy for SSNHL should depend on etiology; that is, vasoactive medications should be reserved for patients with supposed vascular etiology. TCD ultrasonography could have a role in the decision regarding the optimal treatment of SSNHL.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".