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Record W2090292077 · doi:10.3899/jrheum.110902

Fatigue and Quality of Sleep in Patients with Immune-Mediated Inflammatory Disease

2011· review· en· W2090292077 on OpenAlexafffundvenue
Lesley A. Graff, John R. Walker, Anthony S. Russell, Robert Bissonnette, Çharles N. Bernstein

Bibliographic record

VenueJournal of Rheumatology Supplement · 2011
Typereview
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsUniversity of AlbertaInnovaderm (Canada)University of Manitoba
FundersAstellas PharmaCrohn's and Colitis Foundation of CanadaCrohn's and Colitis FoundationJanssen CanadaCanadian Institutes of Health ResearchAbbott CanadaAstraZeneca CanadaAstraZenecaPfizerAmgen
KeywordsMedicineQuality of life (healthcare)DiseaseFeelingChronic fatigueChronic fatigue syndromeImmune systemIntensive care medicinePhysical therapyImmunologyInternal medicineNursing

Abstract

fetched live from OpenAlex

Fatigue, a systemic feeling of exhaustion, is a common symptom of many chronic illnesses, including immune-mediated inflammatory diseases (IMID). IMID-related fatigue is associated with disease activity and pain and has detrimental effects on patient quality of life and overall well-being. Thus, routine assessment and management of fatigue in clinical practice is important. This article provides an overview of the prevalence, correlates, and predictors of fatigue in IMID. There is also discussion of the effects of different treatments on fatigue outcomes, as well as management recommendations.

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)0.001
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.049
GPT teacher head0.343
Teacher spread0.294 · 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
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

Citations27
Published2011
Admission routes3
Has abstractyes

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