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Record W2527126512 · doi:10.1177/1558944716660555ki

Upper Extremity Disability Is Associated With Grip Strength and Psychological Stress in Carpal Tunnel Syndrome According to a Patient-reported Questionnaire

2016· article· en· W2527126512 on OpenAlexaboutno aff
Akihito Yoshida, Shigeru Kurimoto, Kikuko Nishikawa, Katsuyuki Iwatsuki, Hitoshi Hirata

Bibliographic record

VenueHand · 2016
Typearticle
Languageen
FieldMedicine
TopicPeripheral Nerve Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCarpal tunnel syndromePhysical therapyGrip strengthHospital Anxiety and Depression ScaleCarpal tunnelAnxietyRating scaleMcGill Pain QuestionnaireRank correlationVisual analogue scaleHand strengthPhysical medicine and rehabilitationSurgeryPsychologyPsychiatry

Abstract

fetched live from OpenAlex

Objective: We investigated which clinical factors influenced upper extremity disability in carpal tunnel syndrome (CTS). Materials and Methods: We analyzed 45 hands with CTS of patients enrolled in a prospective cohort study conducted from December 2012 to January 2015. The age among the participant group of 40 females and 5 males ranged from 30 to 86 (mean, 60.3 years). Forty-three patients were right-handed. Twenty-seven had bilateral CTS (36 hands). Operations were performed on 25 right and 20 left hands. Thirty-nine hands were classified as “Extreme CTS” (absence of median motor and sensory responses) according to the severity scale proposed by Padua. Hand10 was used as a validated upper-extremity disability assessment tool. Clinical assessments were comprised of patients’ characteristic, physical and psychological parameters. Patients’ characteristic consisted of age, body mass index, and duration of symptom. Physical parameters included grip strength, key pinch strength, pulp pinch strength, Semmes Weinstein Monofilament Test, static 2 point discrimination test (s2PD test), numerical rating scale for numbness, visual analogue scale for pain (pain VAS), and Japanese version of Short-Form McGill Pain Questionnaire (SF-MPQ). Psychological parameters included Japanese version of Self-rating Depression Scale, Japanese version of Pain Anxiety Symptom Scale–20 (PASS-20), and Stress Response Scale–18 (SRS-18). These assessments were conducted on the day before operation. Statistical Analysis: Factors that were significantly associated with Hand10 scores in bivariate analysis (Pearson correlation test or Spearman rank correlation test as appropriate) were entered into a multivariable analysis. A multiple regression analysis was used to identify factors that were independently associated with Hand10 scores. Results: Hand10 scores showed no statistical differences in terms of unilateral/bilateral CTS and sex differences. Single regression analysis showed that Hand10 scores correlated significantly with the pain VAS, SF-MPQ, PASS-20, SRS-18, s2PD at index and middle scores, and grip strength. Multiple regression analysis showed that grip strength ( B = 1.47, β = 0.49, P = .00) and SRS-18 score ( B = −0.91, β = −0.36, P = .02) were significant correlation factors for the Hand10 score ( R 2 = 0.49). Conclusions: In patients with CTS, grip strength and psychological stress are significant correlating factors of disability according to a patient-administered upper extremity assessment.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.025
GPT teacher head0.288
Teacher spread0.263 · 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 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

Citations0
Published2016
Admission routes1
Has abstractyes

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