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Record W98620229 · doi:10.1177/229255030301100205

Sensitivity and specificity of clinical testing for carpal tunnel syndrome

2003· article· en· W98620229 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Journal of Plastic Surgery · 2003
Typearticle
Languageen
FieldMedicine
TopicPeripheral Nerve Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsWristCarpal tunnel syndromeMedicineMedian nerveCarpal tunnelSurgery

Abstract

fetched live from OpenAlex

OBJECTIVE: The present study evaluated the sensitivity, specificity and predictive values of six clinical tests in the diagnosis of carpal tunnel syndrome (CTS). METHODS: There were 29 carpal tunnel syndrome (CTS) subjects (mean age 48 years) and 30 control subjects (mean age 45 years). The six clinical tests included Tinel's sign, wrist flexion with fingers extended, wrist flexion with fingers flexed, wrist extension, combined wrist extension/median nerve pressure and combined wrist flexion/median nerve pressure. RESULTS: The highest sensitivity and highest negative predictive value was found with wrist flexion with pressure (96%) and wrist extension with pressure (94%) at 60 s. The highest specificity was found with wrist flexion with fingers flexed for 30 s (95%). The highest positive predictive values were found with the wrist flexion with fingers flexed test for 30 s (91%) and the wrist extension test for 30 s (90%). CONCLUSION: No one test possesses all the qualities necessary to be the ideal clinical test for the detection of carpal tunnel syndrome.

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)0.035
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.973

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.035
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 head0.092
GPT teacher head0.302
Teacher spread0.210 · 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