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Record W2927217863 · doi:10.1097/pep.0000000000000587

Physical Therapy Outcome Measures for Assessment of Lower Extremity Chronic Pain-Related Function in Pediatrics

2019· article· en· W2927217863 on OpenAlexaboutno aff
Elizabeth Mirek, Deirdre E. Logan, Kimberly Boullard, Amber M. Hall, Steven J. Staffa, Navil F. Sethna

Bibliographic record

VenuePediatric Physical Therapy · 2019
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePhysical therapyTimed Up and Go testChronic painOccupational therapyRehabilitationPhysical medicine and rehabilitationActivities of daily livingAnxietyHospital Anxiety and Depression ScaleTest (biology)Psychiatry

Abstract

fetched live from OpenAlex

PURPOSE: To assess the clinical utility of 5 physical therapy (PT) outcome measures in quantifying functional changes in pediatric lower extremity chronic pain treated at a hospital-based interdisciplinary rehabilitation center. DESIGN: This was a cross-sectional study with retrospective review of 173 individuals, 8 to 18 years old, treated from June 2008 to 2013. METHODS: The measures used were the Timed Up and Go, Timed Up and Down Stairs, Bruininks-Oseretsky Test of Motor Proficiency, Second Edition, 6-minute walk test, and Lower Extremity Functional Scale. Participant performance was correlated with demographic characteristics, the Functional Disability Index, Multidimensional Anxiety Scale for Children, Child Depression Inventory, and Canadian Occupational Performance Measure. RESULTS: Scores from all 5 PT measures showed significant improvement following treatment. Functional Disability Index correlated to every PT measure except the 6-minute walk test. CONCLUSIONS: This study supports the clinical use of these PT measures to track functional progress after rehabilitative treatment of lower extremity chronic pain-related disability.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.001
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 head0.036
GPT teacher head0.337
Teacher spread0.301 · 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.

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

Citations24
Published2019
Admission routes1
Has abstractyes

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