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Record W2028146921 · doi:10.3899/jrheum.131171

The Role of Depression, Anxiety, Fatigue, and Fibromyalgia on the Evaluation of the Remission Status in Patients with Rheumatoid Arthritis

2014· article· en· W2028146921 on OpenAlexvenueno aff
Nevsun İnanç, S. Yılmaz-Öner, Meryem Can, Tuulikki Sokka, Haner Di̇reskeneli̇

Bibliographic record

VenueThe Journal of Rheumatology · 2014
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineFibromyalgiaRheumatoid arthritisDepression (economics)AnxietyPhysical therapyInternal medicineArthritisPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate the effect of depression, anxiety, fatigue, and fibromyalgia (FM) on the remission status in patients with rheumatoid arthritis (RA), defined according to the 28-joint count Disease Activity Score (DAS28)-erythrocyte sedimentation rate (ESR) and the Boolean-based new American College of Rheumatology/European League Against Rheumatism remission criteria. METHODS: The subjects were patients with RA who participated in a hospital-based observational cohort. Patients who met the DAS28-ESR remission criteria at their latest visit were invited to participate in our study. The patient groups fulfilling or not fulfilling the Boolean remission criteria were identified and compared with each other with regard to the presence of depression, anxiety, fatigue (0-50), and FM. The relationship between psychosocial factors and Simplified Disease Activity Index (SDAI) remission, which is the index-based definition of remission in RA, was also investigated. RESULTS: A total of 87 out of 428 patients (20%) with RA met the DAS28-ESR remission criteria and 32 (37%) of these also met the Boolean remission criteria, while 55 (63%) did not. Forty patients were also in SDAI remission. In the Boolean remission group, 2 patients had depression and 2 had anxiety (p = 0.004). In the Boolean nonremission group, 19 patients had depression and 13 had anxiety (p = 0.04). Continuous scales of anxiety (3.34 ± 3.76 vs 5.83 ± 4.70, p = 0.012) and depression (2.18 ± 2.75 vs 4.63 ± 4.10, p = 0.001) were also lower in the Boolean remission group in comparison with the nonremission group. Though FM syndrome was detected in only 1 patient of the Boolean remission group and in 7 patients of the Boolean nonremission group (p = 0.249), patients' polysymptomatic distress scores of FM in the Boolean remission group were significantly lower than those of the nonremission group (3.12 ± 3.25 vs 6.27 ± 5.19, p = 0.001). The mean fatigue scores were 9.5 ± 10.6 in the Boolean remission group and 16.8 ± 12.8 in the Boolean nonremission group (p = 0.006). In multivariate analysis, patient's global assessment (PtGA) and depression were found as the independent discriminators of Boolean-based definition. Similar relationships were also observed between psychosocial factors and SDAI remission. CONCLUSION: In patients with RA who do not fulfill the Boolean remission criteria, to avoid overtreatment, assessment of anxiety, fatigue, FM, and especially depression must be considered if PtGA scores and disease activity variables are significantly different.

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)0.005
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
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)0.0010.000

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 head0.010
GPT teacher head0.255
Teacher spread0.246 · 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

Citations49
Published2014
Admission routes1
Has abstractyes

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