Quality of Life in Patients with Immune-Mediated Inflammatory Diseases
Bibliographic record
Abstract
There is no doubt that patients with immune-mediated inflammatory diseases (IMID) have a significantly impaired quality of life (QOL). Pain and disability often leave these patients helpless and frustrated. The recognition that addressing physical and psychological functioning plays a significant role in an overall treatment approach led to the inclusion of QOL measures as secondary outcomes in clinical trials with IMID patients. To that end, both generic and disease-specific instruments have been utilized. Measurement of health-related QOL (HRQOL) and patient-reported outcomes (PRO) in a controlled manner allows for better understanding of the correlation between different aspects of disease activity and QOL. In addition, the effects of different therapeutic options on HRQOL-related outcomes can be further evaluated. This 3-part section describes key QOL-related complaints of patients with IMID affecting joints, skin, or gut. An overview of the strengths and weaknesses of various commonly used HRQOL instruments is provided. Finally, the influence of anti-tumor necrosis factor-α agents on HRQOL outcomes, as assessed in recent clinical trials, is highlighted.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".