MétaCan
Menu
Back to cohort
Record W7039736847

Monitoring development of children with cerebral palsy: The On Track Study. Protocol of a longitudinal study of development and services

2018· report· en· W7039736847 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueScholarship@Western (Western University) · 2018
Typereport
Languageen
FieldSocial Sciences
TopicEducation and Social Development in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsPercentileCerebral palsyLongitudinal studyGross Motor Function Classification SystemProtocol (science)DemographicsCohortChild developmentMotor skill
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: The purpose of the On Track study is to determine how children with cerebral palsy (CP) progress in their physical development and participation in daily life. Study aims are to create longitudinal trajectories and percentile graphs for physical development and participation to help health care professionals and parents monitor development and track if children are progressing ‘as expected,’ ‘more than expected,’ or ‘less than expected.’ Services received will be explored in children within each developmental category.\nMETHODS: On Track used a prospective cohort design, in which 708 children with CP were followed; 656 were assessed at least twice (baseline, 12- month) over 1 year and 424 were assessed up to 5 times (baseline, 6-, 12-, 18-, 24-months) over 2 years. Children, aged 1.5-11.9 years, and their families were from Canada and the United States. Children were assessed on standardized measures of body functions and structures, health conditions, activity, and participation. Trained physical and occupational therapists measured balance, range of motion, strength, endurance, and physical activity using valid and reliable tests. Parents completed questionnaires about their family demographics and about their children’s endurance, health, participation in recreation and self-care, and health care services. Therapists and parents collaborated to classify children within five functional levels for gross motor, manual, and communication functions. Body function and participation data from all visits will be analyzed by linear and nonlinear mixed-effects modeling to create longitudinal trajectories by functional classification levels. Data from baseline, 12-month, and 24-month visits will be analyzed via quantile regression to construct cross-sectional reference percentile graphs for each measure by functional classification levels. Using separate multinomial models, service amount, focus, and family-centeredness, controlling for country, will be explored to understand how services relate to children’s development.\nDISCUSSION: Developmental results including longitudinal trajectories and percentile ranks on children with CP by functional classification levels and exploration of services will assist health care professionals and families to monitor development and collaborate on service planning. These results will facilitate conversations to improve family-centered care in order to provide the most efficient and effective interventions for children with CP and their families.

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.

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 score0.081
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.183
GPT teacher head0.410
Teacher spread0.227 · 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