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Record W2781692105 · doi:10.1002/pbc.26924

Exercise program for children and adolescents with leukemia and lymphoma during treatment: A comprehensive review

2018· review· en· W2781692105 on OpenAlexaff
Giulia Zucchetti, Francesca Rossi, Carolina Chamorro-Viña, Nicoletta Bertorello, Franca Fagioli

Bibliographic record

VenuePediatric Blood & Cancer · 2018
Typereview
Languageen
FieldMedicine
TopicChildhood Cancer Survivors' Quality of Life
Canadian institutionsAlberta Cancer Foundation
Fundersnot available
KeywordsMedicineRandomized controlled trialMEDLINEQuality of life (healthcare)LymphomaPediatric cancerPhysical therapyCancerInternal medicine

Abstract

fetched live from OpenAlex

An exercise program (EP) during cancer treatment seems to be a valid strategy against physiological and quality-of-life impairments, but scientific evidence of benefits among pediatric patients is still limited. This review summarizes the literature focused on randomized controlled trials of EP offered to patients during leukemia and lymphoma treatment. Studies published up to June 2017 were selected from multiple databases and assessed by three independent reviewers for methodological validity. The review identified eight studies, but several types of bias have to be avoided to provide evidence-based recommendations accessible to patients, families, and professionals.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.028
GPT teacher head0.340
Teacher spread0.312 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations33
Published2018
Admission routes1
Has abstractyes

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