Reproducibility of Joint Swelling Assessments in Long-lasting Rheumatoid Arthritis: Influence on Disease Activity Score-28 Values (SEA-Repro Study Part I)
Bibliographic record
Abstract
OBJECTIVES: To evaluate the reproducibility of clinical synovitis assessments in rheumatoid arthritis and the effect of variability on the Disease Activity Score-28 (DAS28). METHODS: Seven healthcare professionals from different cities examined the same patients with active non-early rheumatoid arthritis (RA; duration > 4 yrs), for whom a treatment change was being considered. There was no training session and the examination was to be performed as quickly as possible. The healthcare professionals assessed the 28 joints of the DAS28 in 7 patients (196 joints), then reexamined the same 28 joints in 4 of these 7 patients (112 joints), who had been rendered unrecognizable. Then 7 sonographers examined each of the 7 patients twice, using B-mode and power Doppler ultrasound (PD). The reference standards were presence of synovitis according to at least 50% of clinical examiners and 50% of sonographers. Agreement was assessed by Cohen's kappa statistic. RESULTS: Intraobserver reliability ranged from 0.31 (least experienced research technician) to 0.77 (most experienced physician). Interobserver reliability ranged from 0.18 to 0.62. The largest difference between the lowest and the highest swollen joint counts in the same patient was 15, and the greatest variation in the DAS28 score was 0.92. Agreement between clinical and sonographic reference standards was 0.46, 0.37, and 0.36 for B-mode, PD, and both, respectively. CONCLUSION: Clinical inter- and intraobserver reliability is highly dependent on the examiner. Consequences on the DAS28 score can be substantial. Agreement with sonography is poor when both B-mode and PD are used but seems better, although low, when B-mode is used alone.
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 | 0.024 | 0.053 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".