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Record W3156219107 · doi:10.11124/jbies-20-00214

Evidence on definitions, concepts, outcome instruments, and interventions for chronic fatigue in spinal cord injury: a scoping review protocol

2021· review· en· W3156219107 on OpenAlexaff
Bob Hoogenes, Matthew Querée, William C. Miller, W. Ben Mortenson, Andrea Townson, Janice J. Eng

Bibliographic record

VenueJBI Evidence Synthesis · 2021
Typereview
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsInternational Collaboration On Repair DiscoveriesUniversity of British ColumbiaGF Strong Rehabilitation Centre
Fundersnot available
KeywordsPsychological interventionProtocol (science)Spinal cord injuryOutcome (game theory)Physical medicine and rehabilitationPsychologyPhysical therapyMedicineSpinal cordAlternative medicineNursingPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: The objective of this review is to review the existing evidence on definitions, concepts, measurement instruments, and interventions for chronic fatigue in spinal cord injury. INTRODUCTION: Chronic fatigue in people with spinal cord injury is an under-studied issue that affects between 25% and 56.6% of people with spinal cord injury. There are questions about how it is defined and managed due to its complex, multifactorial nature and relationship with related conditions. No overview of chronic fatigue in spinal cord injury exists and we are in need of a shared definition of chronic fatigue, as well as a comprehensive review of concepts and evidence supporting outcome instruments and interventions. INCLUSION CRITERIA: This review will include empirical and non-empirical studies that focus on definitions, concepts, measurement instruments, and interventions for chronic fatigue in spinal cord injury. Studies that focus on peripheral muscle fatigue will only be included if they include chronic fatigue as a secondary outcome. METHODS: This review will be done in three phases. Phase I will provide an overview of definitions of chronic fatigue in spinal cord injury and will include a qualitative analysis of concept attributes and characteristics. Phase II will focus on factors related to chronic fatigue and measurement instruments used to measure chronic fatigue, and phase III will focus on interventions. Full texts will be screened by two independent reviewers against inclusion criteria. Results will be presented in tabular form with a narrative summary.

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)0.003
metaresearch head score (Gemma)0.035
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.555
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.035
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.425
GPT teacher head0.592
Teacher spread0.166 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

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