Treating Benign Paroxysmal Positional Vertigo in the Patient With Traumatic Brain Injury
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to determine the effectiveness of the canalith repositioning procedure (CRP) in the treatment of benign paroxysmal positional vertigo (BPPV) among patients after mild-to-moderate traumatic brain injury. METHODS: An unblinded, nonrandomized, case comparison interventional study with repeated measures (1, 5, 9, and 12 weeks postenrollment) of three groups of patients with traumatic brain injury (BPPV, n = 21; nonspecific dizziness, n = 23; no dizziness, n = 12) was conducted. Patients in the BPPV group received the CRP at baseline and repeatedly until a negative Dix-Hallpike Maneuver was observed. Participants in the other two groups did not receive the CRP. RESULTS: Symptom resolution at the 12-week follow-up was observed in 75% of patients in the BPPV group versus 8.3% in the nonspecific dizziness group (p = .0006). A significant Group × Time interaction was observed for the Dizziness Handicap Inventory (F = 4.2, p = .003) and 36-item Short Form Health Questionnaire physical component scores (F = 2.16, p = .035) with the BPPV group showing significantly improved scores by the 12-week follow-up. Although there were between-group differences on the 36-item Short Form Health Questionnaire mental health component scores (F = 4.06, p = .022), changes over time were not significant in the groups. CONCLUSIONS: Treatment with the CRP for posttraumatic BPPV resulted in significant symptom resolution and improvement in perceived physical health status.
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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) | 0.001 | 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) | 0.001 | 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".