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Record W4399681651 · doi:10.7759/cureus.62353

The Impact of Physical Therapy in Individuals With Benign Paroxysmal Positional Vertigo: A Case Report

2024· article· en· W4399681651 on OpenAlexaff
Om C. Wadhokar, Payal Shelar, Chaitanya Kulkarni

Bibliographic record

VenueCureus · 2024
Typearticle
Languageen
FieldNeuroscience
TopicVestibular and auditory disorders
Canadian institutionsCommunity Based Research Centre
Fundersnot available
KeywordsBenign paroxysmal positional vertigoVertigoMedicinePhysical medicine and rehabilitationAudiologyPsychologySurgery

Abstract

fetched live from OpenAlex

Benign paroxysmal positional vertigo (BPPV) is a mechanical condition of the peripheral vestibular system. It is characterized by recurrent, short-lived episodes of vertigo caused by calcium carbonate crystals that get dislodged from the utricle and move into the semicircular canals. In this case report, a 33-year-old female presenting with complaints of neck pain and dizziness upon head movement was diagnosed with BPPV following a comprehensive evaluation, which included a thorough history, assessment, and investigations. The Dix-Hallpike maneuver was positive on the right side. The patient was then treated with canalith repositioning manuever (CRM) and conventional physiotherapy. There was a reduction in pain, improvement in range of motion, and reduction in the duration and frequency of vertigo. Therefore, it can be concluded that the application of CRM or Epley's maneuver decreases the duration and frequency of vertigo and improves quality of life.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.021
GPT teacher head0.315
Teacher spread0.294 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations0
Published2024
Admission routes1
Has abstractyes

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