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Record W1965858617 · doi:10.1097/mao.0b013e3181e3deb2

Clinical Romberg Testing Does Not Detect Vestibular Disease

2010· article· en· W1965858617 on OpenAlexaff
Neil S. Longridge, Arthur I. Mallinson

Bibliographic record

VenueOtology & Neurotology · 2010
Typearticle
Languageen
FieldNeuroscience
TopicVestibular and auditory disorders
Canadian institutionsVancouver General HospitalUniversity of British Columbia
Fundersnot available
KeywordsMedicineVestibular systemDiseaseAudiologyTandemPhysical medicine and rehabilitationPhysical therapyPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate the effectiveness of tandem Romberg and tandem walking testing at detecting vestibular disease and to increase the difficulty of these standard screening assessments in an attempt to try and make them more effective in the clinical office setting. STUDY DESIGN AND SETTING: A prospective study in a tertiary and quaternary care neuro-otology clinic comparing performance on tandem Romberg and tandem walking between patients with vestibular disease and controls matched for age and sex. RESULTS: Making the tandem Romberg test and tandem walking tests more difficult for patients was not helpful because it also made the tests more difficult to perform for controls with no symptoms of vestibular disease. When comparing a young and an old cohort, there was a significant difference in performance. CONCLUSION: Our techniques of sharpening and sensitizing tandem Romberg and tandem walking tests were not useful at delineating vestibular disease, and age itself may be a confound that mimics the effects of balance system disease. SIGNIFICANCE: The tandem Romberg and tandem walking tests, despite being in widespread clinical use as office screening tests, may not be effective at determining the presence of newly developed vestibular disease.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.042
GPT teacher head0.324
Teacher spread0.282 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations32
Published2010
Admission routes1
Has abstractyes

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