Bibliographic record
Abstract
OBJECTIVES: Benign paroxysmal positional vertigo (BPPV) is the most common peripheral vestibular end-organ disease. This article aims to summarize research findings and key discoveries of BPPV. The pathophysiology, diagnosis, nonsurgical, and surgical management are discussed. METHODS: A comprehensive review of the literature regarding BPPV up through June 2018 was performed. RESULTS: BPPV is typified by sudden, brief episodes of vertigo precipitated by specific head movements. While often self-limited, BPPV can have a considerable impact on quality of life. The diagnosis can be established with a Dix-Hallpike maneuver for the posterior and anterior canals, or supine roll test for the horizontal canal, and typically does not require additional ancillary testing. Understanding the pathophysiology of both canalithiasis and cupulolithiasis has allowed for the development of various repositioning techniques. Of these, the particle repositioning maneuver is an effective way to treat posterior canal BPPV, the most common variant. Options for operative intervention are available for intractable cases or patients with severe and frequent recurrences. CONCLUSIONS: A diagnosis of BPPV can be made through clinical history along with diagnostic maneuvers. BPPV is generally amenable to in-office repositioning techniques. For a small subset of patients with intractable BPPV, canal occlusion can be considered. LEVEL OF EVIDENCE: N/A.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".