Caracterização dos padrões de dor, sono e alexitimia em pacientes com fibromialgia atendidos em um centro terciário brasileiro
Bibliographic record
Abstract
OBJECTIVES: Fibromyalgia (FM) is a complex syndrome that is characterized by lasting and diffuse chronic musculoskeletal pain, derived from non-inflammatory causes and classically associated with the presence of specific tender points. However, studies have highlighted other important symptoms associated with a lower quality of life (QOL) in FM, such as sleep disturbances and alexithymia. This study aimed to investigate the pain, sleep and alexithymia patterns of FM patients treated in a Brazilian tertiary center. METHODS: 20 patients with FM who were followed-up in the Rheumatology outpatient clinic of a Brazilian tertiary center (Faculdade de Medicina de São José do Rio Preto - FAMERP, São Paulo, Brazil) and 20 patients without FM from other outpatient services of the FAMERP completed a clinical and socio-demographic questionnaire, the Fibromyalgia Impact Questionnaire (FIQ), the Pittsburgh Sleep Quality Index (PSQI), the Toronto Alexithymia Scale (TAS-20) and the SF-36 (WHOQOL). RESULTS: The patients with FM presented worse performances in all QOL dimensions of the SF-36 and higher scores on the PSQI (p=0.01), and the TAS-20 (p=0.02). Patients with FM also scored significantly higher in all specific domains of PSQI and TAS-20. DISCUSSION: The present data were in accordance with literature, disclosing a worse performance of patients with FM on pain impact, sleep complains and more presence of alexithymia. CONCLUSION: Studies have disclosed the presence of important and frequently underdiagnosed symptoms beyond pain complaints in FM, such as sleep complaints and alexithymia, and a better knowledge of such disturbances might improve FM patients' approach and treatment.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".