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Record W2789326269 · doi:10.1177/1753193418758852

Activity gains after upper limb surgery for spasticity in patients with spinal cord injury

2018· article· en· W2789326269 on OpenAlexaboutno aff
Johanna Wangdell, Carina Reinholdt, Jan Fridén

Bibliographic record

VenueJournal of Hand Surgery (European Volume) · 2018
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineSpasticitySpinal cord injuryUpper limbPhysical medicine and rehabilitationSpinal cordLower limbSurgeryAnesthesia

Abstract

fetched live from OpenAlex

Spasticity is a common and increasingly prevalent secondary complication of spinal cord injury. The aim of the study was to evaluate patient-experienced gains in prioritized activities after surgery to reduce the effects of spasticity in upper limbs in tetraplegia. The study includes evaluation of 30 operations for 27 patients performed on hypertonic tetraplegic hands during 2007-2015 using the Canadian Occupational Performance Measure. Activity performance increased at both 6 months and 12 months by a mean of 3.0 and 2.9 points, respectively. Satisfaction increased by 3.3 and 3.4, respectively. All types of activities improved, with wheelchair manoeuvring as one of the highest rated. The intervention increased prioritized activity performance and persisted at least 12 months after surgery. Patients with mild upper limb impairment showed greater improvement after surgery. After operation, patients were able to perform 71% of their prioritized activities, which they could not perform before. Patients' satisfaction with the performance was high. LEVEL OF EVIDENCE: IV.

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.045
GPT teacher head0.332
Teacher spread0.287 · 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

Citations14
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Hand Surgery (European Volume)Same topicSpinal Cord Injury ResearchFrench-language works237,207