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Record W4411122954 · doi:10.1080/15502783.2025.2517278

Creatine and post-viral fatigue syndrome: an update

2025· review· en· W4411122954 on OpenAlex
Sergej M. Ostojić, Darren G. Candow, Mark A. Tarnopolsky

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of the International Society of Sports Nutrition · 2025
Typereview
Languageen
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsMcMaster Children's HospitalUniversity of Regina
Fundersnot available
KeywordsMedicineSports medicineCreatineClinical nutritionPhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

Post-viral fatigue syndrome, classified as a neurological condition by the WHO (ICD-11 code: 8E49), manifests as persistent fatigue, cognitive difficulties, and post-exertional malaise following viral infections. It shares commonalities with chronic fatigue syndrome and myalgic encephalomyelitis but is distinct due to its association with preceding viral events. Emerging research identifies bioenergetic disruptions, particularly mitochondrial dysfunction and impaired creatine metabolism, as key contributors. Recent studies suggest creatine supplementation may alleviate symptoms and improve energy metabolism. This narrative review summarizes recent advancements in utilizing creatine as a diagnostic and therapeutic target for post-viral fatigue syndrome and explores future directions for its application in managing this perplexing condition.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.489
Threshold uncertainty score0.599

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.027
GPT teacher head0.343
Teacher spread0.317 · 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