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Record W2169919592 · doi:10.2217/bmt.14.37

Analysis of the Cortisol Diurnal Rhythmicity and Cortisol Reactivity in Long-Term Breast Cancer Survivors

2014· article· en· W2169919592 on OpenAlexafffund
Marie-Ève Couture-Lalande, Sophie Lebel, Catherine Bielajew

Bibliographic record

VenueBreast Cancer Management · 2014
Typearticle
Languageen
FieldNeuroscience
TopicStress Responses and Cortisol
Canadian institutionsUniversity of Ottawa
FundersCanadian Breast Cancer Research AllianceUniversity of OttawaBreast Cancer Alliance
KeywordsBreast cancerMedicineInternal medicineCircadian rhythmReactivity (psychology)OncologyCancerDiseaseEndocrinologyHydrocortisonePathology

Abstract

fetched live from OpenAlex

SUMMARY Aims: In this paper, we examine the long-term consequences of a breast cancer diagnosis on hypothalamic–pituitary–adrenal axis functioning. Methods: This study provides a comprehensive analysis of the diurnal and reactive cortisol profiles of breast cancer survivors considered ‘disease-free’ compared with women with no history of breast cancer. Results: The results indicate similar diurnal patterns in both groups; however, significant differences in stress reactivity were noted, with breast cancer survivors displaying a relatively flat profile following the acute stress induction. Subjective levels of psychological stress were similar in both groups, suggesting incongruence between perceived stress and the physiological stress response of breast cancer survivors. Conclusion: The patterns suggest a progression towards more typical cortisol reactivity with longer time since diagnosis and may reflect some recovery of hypothalamic–pituitary–adrenal axis functioning as time passes.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.248
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.014
GPT teacher head0.270
Teacher spread0.256 · 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

Citations21
Published2014
Admission routes2
Has abstractyes

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