Cost-effective evaluation of the vestibular patient
Bibliographic record
Abstract
PURPOSE OF REVIEW: There is in existence a large array of sophisticated equipment to assess patients with complaints of dizziness and imbalance. Many vestibular tests are expensive to administer. In an era of evidence-based medicine and economic austerity, the appropriate utilization of such tests is of paramount importance. This review examines the clinical value together with costs involved in performing the various components of the vestibular assessment battery. RECENT FINDINGS: Vestibular testing is expensive. To date, publications to support the use of specialist tests for the confident diagnosis of specific vestibular pathologies are severely lacking. In fact, over the last 12 months, the literature illustrates a reduction in the enthusiasm for some tests that were popularized over recent decades. SUMMARY: Tests of vestibular function are expensive and their ability to diagnose specific vestibular pathologies is lacking. However, there are some tests that, when used in specific circumstances, may be very helpful in the diagnosis and management of patients with these complaints.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".