Cognitive Behavioral Therapy for Patient With Rheumatoid Arthritis and Obesity
Bibliographic record
Abstract
Rheumatoid arthritis is an autoimmune disease that causes physical and psychological symptoms when patients are not monitored; these symptoms include depression , anxiety and even the risk of suicide. This study is a case report of one female patient who has Rheumatoid arthritis, and obesity. The present study was carried out with a multidisciplinary approach ( physician and psychologist) and included psychological evaluations and cognitive behavioral therapy (CBT) after a hospital stay when the patient suffered changes in her general framework with a worsening of her disease. The CBT was effective in reducing the patient ’ s depression and anxiety. In addition, the CBT reduced the patient ’ s dysfunctional beliefs, extinguished the thoughts of suicide and taught her to better control her emotions, which reduced her daily peaks of physical pain, making them more affordable than before. CBT increased the patient ’ s motivation, which led to an improvement in her condition and better adherence to treatment. The CBT was effective in treating an obese patient with rheumatoid arthritis who did not want to adhere to the treatment . This suggests that CBT can be an excellent tool for the treatment of chronic and autoimmune diseases ; however, further studies are needed with more subjects . doi: http://dx.doi.org/10.4021/jmc1275w
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".