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Record W1715984988 · doi:10.1002/mus.24481

Which hand is worse? Concordance between patient perception and electrodiagnostic results in carpal tunnel syndrome

2014· article· en· W1715984988 on OpenAlexaff
Colin Rumbolt, Davyd R. Hooper

Bibliographic record

VenueMuscle & Nerve · 2014
Typearticle
Languageen
FieldMedicine
TopicPeripheral Nerve Disorders
Canadian institutionsRiverview HospitalUniversity of Manitoba
Fundersnot available
KeywordsCarpal tunnel syndromeMedicineConcordanceElectromyographyRetrospective cohort studyElectrodiagnosisPhysical therapyPhysical examinationPhysical medicine and rehabilitationSurgeryInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: In patients with clinically diagnosed carpal tunnel syndrome (CTS) the more symptomatic hand may be different from the more severely affected hand on electrodiagnostic testing. This study aims to determine the level of agreement which should be expected between these measures and consequently the level of suspicion for co-occurring pathology which is warranted if there is discordance. METHODS: This was a single center retrospective review of 252 patients referred for upper extremity electrodiagnostic evaluation who were diagnosed subsequently with CTS. Comparison was made between the patient's perceived worst side and the more abnormal side on electrodiagnostic studies. RESULTS: We found a significant level of agreement (κ = 0.676) between patient symptoms and electrodiagnostic testing when identifying the side with more severe CTS. CONCLUSIONS: Discordance between patient perception and electrodiagnostic results regarding which hand is affected more severely in patients with CTS should alert the clinician to possible coexisting nonneurologic pathology and prompt regional musculoskeletal examination as indicated.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.195
Threshold uncertainty score0.832

Codex and Gemma teacher scores by category

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

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 head0.011
GPT teacher head0.245
Teacher spread0.234 · 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.

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

Citations1
Published2014
Admission routes1
Has abstractyes

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