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Fatigue in Individuals With Advanced Cancer in Active Treatment and Palliative Settings

2007· article· en· W1968395983 on OpenAlexaff
Kärin Olson, Amanda Krawchuk, Taeed Quddusi

Bibliographic record

VenueCancer Nursing · 2007
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsStuart Olson (Canada)University of Alberta
Fundersnot available
KeywordsCancer-related fatigueMedicinePsychological interventionCognitionPalliative careIntervention (counseling)Clinical psychologyCancerPsychiatryNursing

Abstract

fetched live from OpenAlex

In Brief Fatigue is associated with cancer, but it also occurs in other illnesses and in work and leisure activities. This article is a report of part of a project comparing fatigue across ill and non-ill populations aimed at identifying the unique features of fatigue in individuals with cancer. The first stage of this work suggested that fatigue is 3 distinct but related concepts-tiredness, fatigue, and exhaustion-which led to the development of the Fatigue Adaptation Model. In this article, the authors report the findings of a qualitative study of fatigue in individuals with advanced cancer in active treatment and palliative settings. It is the first in a series of 5 papers intended to make the boundaries between tiredness, fatigue, and exhaustion more explicit. Here, the authors show that although tiredness, fatigue, and exhaustion are all manifested by the same 5 attributes (changes in emotional, cognitive, and muscular function; decreasing control over body processes; and decreased social interaction), the qualitative differences in the manifestations support the assertion that they are distinct states. This distinction is important, as interventions that could prevent, or at least delay, progression from tiredness to fatigue may be inappropriate for the prevention or delay of progression from fatigue to exhaustion. Fatigue is associated with cancer, but it also occurs in other illnesses and in work and leisure activities. This article is a report of part of a project comparing fatigue across ill and non-ill populations aimed at identifying the unique features of fatigue in individuals with cancer. The first stage of this work suggested that fatigue is 3 distinct but related concepts-tiredness, fatigue, and exhaustion-which led to the development of the Fatigue Adaptation Model. In this article, the authors report the findings of a qualitative study of fatigue in individuals with advanced cancer in active treatment and palliative settings. It is the first in a series of 5 papers intended to make the boundaries between tiredness, fatigue, and exhaustion more explicit. Here, the authors show that although tiredness, fatigue, and exhaustion are all manifested by the same 5 attributes (changes in emotional, cognitive, and muscular function; decreasing control over body processes; and decreased social interaction), the qualitative differences in the manifestations support the assertion that they are distinct states. This distinction is important, as interventions that could prevent, or at least delay, progression from tiredness to fatigue may be inappropriate for the prevention or delay of progression from fatigue to exhaustion.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.365
Teacher spread0.338 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations44
Published2007
Admission routes1
Has abstractyes

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