Validity and Reliability Problems with Patient Global as a Component of the ACR/EULAR Remission Criteria as Used in Clinical Practice
Bibliographic record
Abstract
OBJECTIVE: To investigate what factors influence patient global health assessment (PtGlobal), and how those factors and the reliability of PtGlobal affect the rate, reliability, and validity of recently published American College of Rheumatology/European League Against Rheumatism (ACR/EULAR) rheumatoid arthritis (RA) remission criteria when used in clinical practice. METHODS: We examined consecutive patients with RA in clinical practice and identified 77 who met ACR/EULAR joint criteria for remission (≤ 1 swollen joint and ≤ 1 tender joint). We evaluated factors associated with a PtGlobal > 1, because a PtGlobal ≤ 1 defined ACR/EULAR remission in this group of patients who had already met ACR/EULAR joint criteria. RESULTS: Of the 77 patients examined, only 17 (22.1%) had PtGlobal ≤ 1 and thus fully satisfied ACR/EULAR criteria. A large proportion of patients not in remission by ACR/EULAR criteria had high PtGlobal related to noninflammatory issues, including low back pain, fatigue, and functional limitations, and a number of patients clustered in the range of PtGlobal > 1 and ≤ 2. However, the minimal detectable difference for PtGlobal was 2.3. In addition, compared with a PtGlobal severity score, a PtGlobal activity score was 3.3% less likely to be abnormal (> 1). CONCLUSION: Noninflammatory factors contribute to the level of PtGlobal and result in the exclusion of many patients who would otherwise be in "true" remission according to the ACR/EULAR definition. Reliability problems associated with PtGlobal can also result in misclassification, and may explain the observation of low longterm remission rates in RA. As currently constituted, the use of the ACR/EULAR remission criteria in clinical practice appears to be problematic.
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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 | 0.087 | 0.232 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".