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Record W2887426105 · doi:10.2106/jbjs.17.01382

Effects of Upper-Extremity Surgery on Manual Performance of Children and Adolescents with Cerebral Palsy

2018· article· en· W2887426105 on OpenAlexaboutno aff
Annoek Louwers, Jessica Warnink‐Kavelaars, Miryam C. Obdeijn, M. Kreulen, Frans Nollet, Anita Beelen

Bibliographic record

VenueJournal of Bone and Joint Surgery · 2018
Typearticle
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsnot available
FundersStichting Rotterdams Kinderrevalidatie Fonds Adriaanstichting
KeywordsMedicinePhysical therapyCerebral palsyMultidisciplinary approachPhysical medicine and rehabilitationActivities of daily livingQuality of life (healthcare)

Abstract

fetched live from OpenAlex

BACKGROUND: Little is known about the effects of upper-extremity surgery on the manual performance of children and adolescents with cerebral palsy (CP). This clinical cohort study describes our experience with patient selection based on multidisciplinary assessment and shared decision-making and the effects of upper-extremity surgery on manual performance and patient-relevant outcomes. METHODS: All patients (up to 20 years of age) with CP referred to our multidisciplinary team for evaluation for upper-extremity surgery between July 2011 and May 2017 were included. Suitability for upper-extremity surgery was assessed with comprehensive, multidisciplinary screening, and the decision to proceed with surgery was made together with the patient. Individual patient-relevant goals were identified with the Canadian Occupational Performance Measure (COPM); perceived independence in performing bimanual activities at home was assessed with the ABILHAND-Kids tool, and perceived quality of use of the affected hand during daily activities was assessed with a visual analog scale (VAS). The quality of use of the affected hand during bimanual performance was measured with the Assisting Hand Assessment (AHA), and gross manual dexterity was evaluated with the Box and Block Test (BBT). All baseline assessments were repeated at an average of 9 months after the surgery. RESULTS: Of 66 patients assessed by the multidisciplinary upper-extremity-surgery team, 44 were considered eligible for upper-extremity surgery. Of these patients, 39 (mean age and standard deviation [SD], 14.9 ± 2.10 years, 87% with unilateral CP, and 72% at Manual Ability Classification System [MACS] level II) underwent upper-extremity surgery and were evaluated in the pre-post study. All outcomes improved significantly after upper-extremity surgery, with average improvements of 3.1 ± 1.6 points in the COPM-Performance (COPM-P) score (p < 0.001), 3.3 ± 2.1 points in the COPM-Satisfaction (COPM-S) score (p < 0.001), 1.5 ± 1.2 logits in the ABILHAND score (p < 0.001), 2.4 ± 1.9 cm in the VAS score (p < 0.001), 6.7 ± 4.2 units in the AHA score (p < 0.001), and 2.2 ± 5.0 blocks/minute on the BBT (p = 0.021). The improvement in the COPM-P, COPM-S, ABILHAND, VAS, AHA, and BBT scores was clinically meaningful in 80%, 77%, 55%, 62%, 71%, and 31% of the patients, respectively. CONCLUSIONS: Careful assessment of eligibility for upper-extremity surgery, based on multidisciplinary screening and shared decision-making, resulted in a clinically relevant improvement in patient-specific functional and/or cosmetic goals and manual performance after upper-extremity surgery in most patients with CP. LEVEL OF EVIDENCE: Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.

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)0.004
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 score0.007
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0020.000

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 head0.009
GPT teacher head0.220
Teacher spread0.211 · 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

Citations16
Published2018
Admission routes1
Has abstractyes

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