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Record W3019501872 · doi:10.1177/1753193420918743

Functional outcomes of spasticity-reducing surgery and rehabilitation at 1-year follow-up in 30 patients

2020· article· en· W3019501872 on OpenAlexaboutno aff
Ulla Bergfeldt, Joakim Strömberg, Therese Ramström, Katarzyna Kulbacka-Ortiz, Carina Reinholdt

Bibliographic record

VenueJournal of Hand Surgery (European Volume) · 2020
Typearticle
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsSpasticityMedicineRehabilitationPhysical therapyObservational studyModified Ashworth scaleCerebral palsySpinal cord injuryPhysical medicine and rehabilitationVisual analogue scaleStroke (engine)Traumatic brain injurySpinal cordInternal medicine

Abstract

fetched live from OpenAlex

The effects of spasticity-reducing surgery in the upper extremity were assessed in a prospective observational study of 30 consecutive patients with stroke ( n = 13), incomplete spinal cord injury ( n = 9), traumatic brain injury ( n = 5), cerebral palsy ( n = 2), and degenerative central nervous system disease ( n = 1). Surgery, which included lengthening of tendons and release of muscles, was followed by early rehabilitation at three intensity levels depending on the patients’ specific needs and conditions. At 12 months follow-up there were significant improvements in all outcome measures with the following mean values: spasticity decreased by 1.4 points (Modified Ashworth Scale, 0–5), visual analogue pain score by 1.3 points, and both Canadian Occupational Performance Measures increased (performance by 3.4 and satisfaction by 3.6), and most measures of joint position or mobility improved. Hand surgery combined with early and comprehensive rehabilitation improves function, activity and patients’ satisfaction in patients with disabling spasticity with improvement lasting for at least 1 year. Level of evidence: II

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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.024
GPT teacher head0.220
Teacher spread0.197 · 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

Citations15
Published2020
Admission routes1
Has abstractyes

Explore more

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