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Record W4281381724 · doi:10.15273/hpj.v2i1.11189

Characterising pragmatic exercise interventions to reduce cognitive impairment in cancer survivors: A scoping review protocol

2022· review· en· W4281381724 on OpenAlexaff
Nikolas Joy Jelicic, Jodi Langley, Shelley McKibbon, Scott A. Grandy, Daniel Santa Mina, Stephanie Snow, Mary MacNeil, Melanie R. Keats

Bibliographic record

VenueHealthy Populations Journal · 2022
Typereview
Languageen
FieldMedicine
TopicCancer-related cognitive impairment studies
Canadian institutionsUniversity of TorontoNova Scotia Health AuthorityDalhousie University
Fundersnot available
KeywordsCINAHLPsychological interventionMEDLINEInclusion (mineral)Survivorship curveScopusPsychologyCancer survivorRandomized controlled trialCognitionProtocol (science)Intervention (counseling)MedicinePhysical therapyClinical psychologyApplied psychologyPhysical medicine and rehabilitationCancerAlternative medicinePsychiatrySocial psychology

Abstract

fetched live from OpenAlex

Objective: The objective of this scoping review is to identify the characteristics of pragmatic exercise interventions aimed to reduce cognitive impairment in cancer survivors, and their effectiveness in reducing this impairment and maintaining high adherence.Introduction: Cognitive impairment (CI) is a particularly troublesome side-effect of cancer treatment that has been suggested to decrease following exercise interventions. Most existing research consists of randomized control trials, which often lack external validity. Pragmatic interventions fill this gap. Some pragmatic trials that provide real-world evidence, however, struggle to maintain strong participant adherence. Thus, examining characteristics of pragmatic interventions with high levels of adherence may be beneficial in improving overall adherence in future pragmatic trials on this topic.Inclusion criteria: This review will examine literature with cancer survivors who are partaking in pragmatic exercise programs. Specifically, literature exploring the effects of pragmatic exercise interventions in decreasing cancer survivors’ CI will be examined, with no limits to intervention mode, frequency, or duration. “Cancer survivor” will be defined as any individual with a cancer diagnosis, at any point along the survivorship continuum.Methods: A comprehensive search strategy was developed in accordance with JBI methodology to retrieve relevant sources. Databases to be reviewed from inception to present will include CINAHL, MEDLINE, EMBASE, SPORTDiscus, Scopus, and PsychInfo. Two independent screeners will examine titles and abstracts as well as full texts of relevant sources. The results of the search and the study inclusion process will be reported in full in a PRISMA-ScR flow diagram. The results will be presented narratively, using appropriate tables and figures.

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)0.100
metaresearch head score (Gemma)0.074
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.100
Threshold uncertainty score0.530

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1000.074
Meta-epidemiology (narrow)0.0050.005
Meta-epidemiology (broad)0.0120.014
Bibliometrics0.0160.013
Science and technology studies0.0050.005
Scholarly communication0.0090.008
Open science0.0070.008
Research integrity0.0090.006
Insufficient payload (model declined to judge)0.0600.013

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 head0.241
GPT teacher head0.548
Teacher spread0.307 · 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 designSystematic review
Domainnot available
GenreProtocol

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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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