Multidimensional Outcome Measurement of Children and Youth With Neuropathy Following Treatment of Leukemia: Cross-sectional Descriptive Report
Bibliographic record
Abstract
Background: Children/youth with chemotherapy induced peripheral neuropathy (CIPN) experience many impairments, activity limitations, and participation restrictions. Objective: The objective of this study was to describe the use and feasibility of selected multi-dimensional outcome measures of functioning, disability, and health in children/youth with CIPN following treatment for acute lymphoblastic leukemia. Methods: A selection of clinician evaluated and patient reported outcome measures encompassing all dimensions of the International Classification of Functioning, Disability and Health was collected from seventeen children/youth with CIPN within a study of 3D instrumented motion analysis. Measures included the pediatric modified Total Neuropathy Scale, ankle strength and range of motion, six-minute walk test, Edinburgh Visual Gait Score, Oxford Ankle and Foot Questionnaire, Bruininks-Oseretsky Test of Motor Proficiency running speed and agility subtest, and Pediatric Outcomes Data Collection Instrument Transfers and Basic Mobility, Sports/Physical Functioning, and Pain/Comfort scales. Results: The measures were shown to be feasible and were able to demonstrate differences compared to normative data. They showed variability within the group of children/youth with CIPN except for the running speed and agility test, which had a floor effect. The Edinburgh Visual Gait Scores correlated significantly ( r = −0.668, p <0.001) with the Gait Deviation Index, a summary score of kinematic gait data from the 3D motion analysis study. Conclusion: These measures can contribute clinical practice, research, and the development of core outcome set registries.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".