Evaluation of the meaningfulness of health‐related quality of life improvements as assessed by the SF‐36 and the EQ‐5D VAS in patients with active Crohn’s disease
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Crohn's disease (CD) is a chronic inflammatory illness characterized by episodic abdominal pain, diarrhoea, fever, bleeding and obstruction. While the Crohn's Disease Activity Index (CDAI) remains the most commonly accepted measure for assessing the disease status in clinical trials, patient-reported outcome (PRO) instruments are being utilized more frequently to provide information about health-related quality of life (HRQOL). To facilitate interpretation of results, it is common to identify a meaningful unit of PRO score change, such as a minimal clinically important difference (MCID). AIM: To define and apply MCID estimates for the SF-36 and EuroQol-5D visual analogue scale (EQ-5D VAS) for use in CD treatment evaluation. METHODS: Data from two phase III randomized controlled trials of certolizumab pegol were utilized. MCID estimates were computed from one trial using anchor-based and distribution-based methods. These estimates were applied to data from the other trial. RESULTS: SF-36 PCS and MCS MCID estimates ranged from 1.6 to 7.0 and 2.3 to 8.7 respectively, depending on approach. EQ-5D VAS MCID estimates ranged from 4.2 to 14.8. CONCLUSIONS: For the first time, the MCID values provided interpretation guidelines for PRO results in CD. This research demonstrates that patients treated with certolizumab pegol benefit from meaningful and sustained HRQOL improvements.
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it