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Record W3010801584 · doi:10.1016/j.arrct.2020.100049

Musculoskeletal Pain Outcomes Pre- and Post Intrathecal Baclofen Pump Implant in Children With Cerebral Palsy: A Prospective Cohort Study

2020· article· en· W3010801584 on OpenAlexaboutno aff
Chantel C. Barney, Alyssa M. Merbler, Jean Stansbury, Linda E. Krach, Michael D. Partington, Patrick Graupman, Peter D. Kim, Debbie K. Song, Frank J. Symons

Bibliographic record

VenueArchives of Rehabilitation Research and Clinical Translation · 2020
Typearticle
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCerebral palsyProspective cohort studyImplantCohortPhysical therapyAnesthesiaSurgeryInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To characterize musculoskeletal pain intensity, duration, frequency, and interference with activities of daily living in children with cerebral palsy (CP) before and after intrathecal baclofen pump placement. DESIGN: Prospective cohort study. SETTING: Children's tertiary hospital. PARTICIPANTS: Participants were children with CP (N=32; 53% male; mean age, 9.9y; age range, 4-17y). The majority of participants had a CP diagnosis of quadriplegia (76%) and relied on wheeled mobility (91%). INTERVENTIONS: Assessments were completed pre- and post intrathecal baclofen pump implant. MAIN OUTCOME MEASURES: Because of considerable patient heterogeneity, both pain measures (Brief Pain Inventory, Dalhousie Pain Interview) were completed by proxy (parent) report at the time of the procedure and approximately 6 months after intrathecal baclofen (ITB) pump placement. RESULTS: <.01). CONCLUSIONS: This prospective analysis supports the anecdotal and retrospective evidence that musculoskeletal pain decreases in CP following ITB pump implant. The greatest effect appears to be on the duration of pain experience. Pain did not decrease for all individuals, and it would be worth further investigation to better understand the relation between patient characteristics and pain outcomes.

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 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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.037
Threshold uncertainty score0.343

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.370
Teacher spread0.341 · 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 teacher head, 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

Citations9
Published2020
Admission routes1
Has abstractyes

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