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Record W2065185500 · doi:10.1042/cs0990001

Fatigue in chronic disease

2000· article· en· W2065185500 on OpenAlex

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

VenueClinical Science · 2000
Typearticle
Languageen
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsChronic fatigue syndromeChronic fatigueDiseaseMedicineQuality of life (healthcare)Chronic diseasePhysical therapyIntensive care medicinePathology

Abstract

fetched live from OpenAlex

Fatigue is an extremely common complaint among patients with chronic disease. However, because of the subjective nature of fatigue, and the lack of effective therapeutics with which to treat fatigue, this symptom is often ignored by clinicians, who instead focus on hard, objective disease end-points. Recently, the symptom of fatigue has received greater attention as part of overall health-related quality of life assessments in patients with chronic disease. Furthermore, new methods are being developed to help quantify fatigue, and are being utilized more frequently in the clinical setting. Moreover, studies in patients and using animal models of disease have provided some insight into changes within the brain which appear to be linked to the genesis of central fatigue. This review focuses on fatigue in chronic disease and outlines possible mechanisms which may give rise to central fatigue in chronic disease. Moreover, methods for measuring fatigue and an approach to the fatigued patient are discussed. Hopefully, a broader understanding of this distressing symptom will lead to the development of specific therapies for treating fatigue in these patients.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.450
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.099
GPT teacher head0.449
Teacher spread0.350 · 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