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Record W2127816643 · doi:10.2106/jbjs.g.01362

The Value Added by Electrodiagnostic Testing in the Diagnosis of Carpal Tunnel Syndrome

2008· article· en· W2127816643 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Bone and Joint Surgery · 2008
Typearticle
Languageen
FieldMedicine
TopicPeripheral Nerve Disorders
Canadian institutionsToronto Western Hospital
Fundersnot available
KeywordsCarpal tunnel syndromeMedicinePre- and post-test probabilityMedian nervePhysical therapyNerve conductionCarpal tunnelWristPhysical examinationGold standard (test)Physical medicine and rehabilitationSurgeryRadiology

Abstract

fetched live from OpenAlex

BACKGROUND: There is no clear-cut consensus on the best diagnostic criteria for carpal tunnel syndrome. The objective of this study was to compare the probability of carpal tunnel syndrome being present following electrodiagnostic testing with the probability of it being present after the diagnosis was established on the basis of a clinical evaluation alone. METHODS: The study sample included patients with any peripheral nerve diagnosis who had been referred to the electrodiagnostic laboratory of an academic health-care center. The probability of carpal tunnel syndrome before electrodiagnostic testing (pretest probability) was estimated with use of the CTS-6, a validated clinical diagnostic aid that is used to estimate the probability of carpal tunnel syndrome on the basis of the presence or absence of six clinical findings recorded as part of the history or noted on physical examination. All patients then underwent a standard electrodiagnostic assessment of the median nerve by a neurologist blinded to the result of the CTS-6 evaluation. Sensory nerve conduction velocity was used to classify the result of the electrodiagnostic testing as either positive or negative for carpal tunnel syndrome with use of two different criteria (one stringent and one lax) derived from the literature. The main outcome measure was the difference between the pretest and posttest probabilities of carpal tunnel syndrome. RESULTS: One hundred and forty-three patients were studied. The pretest probability of carpal tunnel syndrome ranged between 0.10 and 0.99 (mean [and standard deviation], 0.81 +/- 0.22). Seventy-three percent of the patients had a pretest probability of at least 0.80. The average change in probability for these patients was -0.02 when the stringent electrodiagnostic criterion was used and -0.06 when the lax criterion was used. With either electrodiagnostic criterion, the majority of the large changes in probability were for patients for whom the pretest probability was < or =0.50. The probability of carpal tunnel syndrome was lowered after the electrodiagnostic testing in most of these cases. CONCLUSIONS: For the majority of patients who are considered to have carpal tunnel syndrome on the basis of their history and physical examination alone, electrodiagnostic tests do not change the probability of diagnosing this condition to an extent that is clinically relevant.

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.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.060
Threshold uncertainty score0.509

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.040
GPT teacher head0.243
Teacher spread0.203 · 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