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Record W2948946301 · doi:10.3138/ptc.2018-13.pp

A Scoping Review of Physical Therapy Interventions for Childhood Cancers

2019· review· en· W2948946301 on OpenAlexaffvenue
Paula A. Ospina, Margaret L. McNeely

Bibliographic record

VenuePhysiotherapy Canada · 2019
Typereview
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of TorontoUniversity of Alberta
Fundersnot available
KeywordsMedicinePsychological interventionRandomized controlled trialClinical trialPhysical therapyAlternative medicineCancerMEDLINENursingSurgeryPathologyInternal medicine

Abstract

fetched live from OpenAlex

Purpose: Children and adolescents undergoing cancer treatment are at high risk of developing serious adverse effects, many of which respond to physical therapy (PT). This scoping review aims to (1) outline the state of the research involving PT for children with cancer and (2) identify gaps in the literature for future research. Method: From January 2002 to October 2017, we conducted electronic searches of three major databases and conference proceedings and checked references of screened articles. Results: A total of 12 articles were included in the review: one randomized controlled trial, one pilot randomized trial, five pilot or feasibility studies, two prospective studies, one case series, one case report, and one retrospective study. The research to date supports the feasibility of PT interventions for children with cancer, but the current evidence is not yet at a level to inform clinical practice. To better elucidate treatment protocols and assess their benefits for tumour-specific impairments, research needs to examine the effects of PT on specific impairments or for specific cancer tumour types. Conclusions: Collaborative efforts to conduct multi-centre trials are needed to further the field of paediatric oncology PT.

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)0.000
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: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.385
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.003
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.094
GPT teacher head0.455
Teacher spread0.361 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations20
Published2019
Admission routes2
Has abstractyes

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