Vestibular impairment in peripheral sensory neuropathies.
Bibliographic record
Abstract
OBJECTIVE: Patients with peripheral sensory neuropathies frequently complain of dizziness, mainly unsteadiness, which occasionally seems to be more severe than the neuropathy. This study is an attempt to determine whether in cases where dizziness is a prominent feature the underlying cause is, at times, a concomitant vestibular dysfunction. METHOD: The files of 50 patients suffering from peripheral sensory neuropathies were retrospectively reviewed. Patients with central nervous system disease capable of inducing vestibular dysfunction were excluded from this study. In 47 of 50 patients, bithermal caloric tests were performed as part of electronystagmographic recordings. According to the caloric responses, these patients were divided into three groups: group 1: bilaterally reduced responses, group 2: unilaterally reduced responses, and group 3: normal symmetric responses. RESULTS: In 17 of 47 patients, the caloric responses were reduced bilaterally (group 1). In 8 of 47 patients, the responses were reduced unilaterally (group 2). In 22 of 47 patients, the caloric responses were normal and symmetric (group 3). CONCLUSION: Vestibular dysfunction was encountered in 25 of 47 patients (53.2%) suffering from peripheral sensory neuropathy. One wonders whether the pathologic process affecting the peripheral sensory nerves may also affect the vestibular nerve. This seems possible in view of the fact that the vestibular nerve, a sensory nerve itself, has a histologic structure similar to the peripheral sensory nerves.
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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 | 0.000 | 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) | 0.006 | 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".