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Record W2328771548 · doi:10.3899/jrheum.100572

Cortisol During the Day in Patients with Systemic Lupus Erythematosus or Primary Sjögren’s Syndrome

2010· article· en· W2328771548 on OpenAlexvenueno aff
Marlies C. van der Goes, Ercolie R. Bossema, A Hartkamp, Guido L. R. Godaert, Johannes W. G. Jacobs, Aike A. Kruize, Ronald H. W. M. Derksen, J. W. J. Bijlsma, Rinie Geenen

Bibliographic record

VenueThe Journal of Rheumatology · 2010
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Disorders and Functions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInternal medicineErythrocyte sedimentation rateSalivaEndocrinologySystemic diseaseLupus erythematosusImmunopathologyGastroenterologyImmunologyAntibody

Abstract

fetched live from OpenAlex

OBJECTIVE: To compare the level and change of cortisol during the day of patients with systemic lupus erythematosus (SLE) and primary Sjögren's syndrome (pSS) with low and high erythrocyte sedimentation rate (ESR). METHODS: Saliva was collected in the real-life environment of 21 women with SLE, 16 women with pSS, and 30 age-matched healthy women at 9 fixed timepoints during 2 consecutive days. Repeated measures ANOVA was performed to examine whether cortisol levels during the day were different for the patients with low ESR (≤ 20 mm/h) versus those with high ESR (> 20 mm/h). RESULTS: The groups with low and high ESR showed the characteristic change of cortisol during the day (time-of-day effect, F = 124.9, p < 0.001). The cortisol awakening level was lower for patients with high ESR than for patients with low ESR (group*time effect, F = 3.1, p = 0.02). CONCLUSION: The cortisol awakening level differs for patients with low and high ESR, which indicates the usefulness of further studies of hypothalamic-pituitary-adrenal axis dynamics in patients with SLE and pSS.

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)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.005
GPT teacher head0.205
Teacher spread0.200 · 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 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

Citations23
Published2010
Admission routes1
Has abstractyes

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