Perfil dos pacientes atendidos no centro multidisciplinar de dor do Hospital das Clínicas da Universidade Federal de Minas Gerais
Bibliographic record
Abstract
OBJECTIVE: To assess chronic pain in a multidimensional way and examine its influence on socioeconomic status, functionality, quality of life and psychiatric disorders. METHODS: 103 patients from the Multidisciplinary Pain Center of the Hospital das Clínicas of UFMG (Federal University of Minas Gerais) were interviewed, by applying questionnaires on mobile devices and its own computer program. Socioeconomic data and tools for multidimensional pain assessment were collected. The population of the study was stratified into mild, moderate and severe pain, and subsequently descriptive, comparative and multivariate analyzes were performed in order to identify variables that contributed to the analyzed outcome. RESULTS: The patients had a median age of 55 years, were predominantly female, married, white and had completed high school. Most patients were retired due to disability and financial impacts presented correlations with pain intensity. Age was a risk factor for pain intensity, while gender, family income and duration of pain behaved as protective factors. The analysis showed severe disability and low quality of life for patients. 16.5% of the patients were diagnosed with anxiety, 13.59% with depression and 34.95% presented both anxiety and depression. Those with worse scores in psychosocial functioning were more likely to be associated with anxiety and depression, while patients with better results in quality of life were less likely to be associated with anxiety and depression. In the qualitative assessment of pain, using the McGill Questionnaire, patients with greater pain intensity had higher Pain Indexes in the affective component. There was a positive correlation between the McGill Pain Index and the presence of anxiety and depression and a negative correlation with quality-of- life assessment parameters. Of the entire group studied, 74.76% had severe difficulty sleeping. CONCLUSION: Chronic pain was associated with severe disability and leaving the job market, with the associated negative impact on financial condition. Age, gender, family income and duration of pain were directly linked to pain intensity. In the presence of symptoms of anxiety and depression, chronic pain generated severe functional and psychosocial disability, and also low quality of life, directly relating to pain intensity. Furthermore, the presence of anxiety and depression altered the qualitative assessment of pain, making it more unpleasant. Sleep disorders were very prevalent, posing as one more factor that contributed to the deterioration of quality of life.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".