The value of the spondyloarthritis research consortium of ceanada magnetic resonance imaging sacr-oiliac joint inflammation score and structural score in evaluating the activity of axial spondyloarthritis
Bibliographic record
Abstract
Objective To analyze the correlation between the Spondyloarthritis Research Consortium of Canada (SPARCC) magnetic resonance imaging (MRI) sacroiliac joint inflammation score (SPARCC score)/structural score (SSS) and the disease activity as well as the functional indexs. The correlation between the MRI score and inflammatory indicators [erythrocyte sedimentation rate (ESR) and C-reactive protein (CRP)] in patients with active axial spondyloarthritis (axSpA) before and after treatment was explored. In addition, the contribution of the two MRI scoring method in evaluating conditions was also explored. Methods According to the inclusion criteria, 24 patients with active axial SpA were recruited and received the recombinant hauman tumor necrosis factor (TNF)-α receptor Ⅱ: IgG Fc fusion protein(rhTNFR:Fc), sulfasalazine and thalidomide for 12 weeks. Subjects were scored at week 0 and 12 by SPARCC/SSS scores. Bath ankylosing spondylitis disease activity index (BASDAI), Assessment of Spondyloarthritis Intemational Society (ASAS)-endorsed disease activity score(ASDAS)-CRP, bath ankylosing spondylitis functional index (BASFI). Bath ankylosing spondylitis metrology index(BASMI), ESR and CRP. The correlation between the SPARCC/SSS scores and that of clinical indicators were analyzed. Paired sample t test, Wilcoxon signedrank test, Spearman correlation analysis and Pearson correlation analysis were used for statistical analysis, and receiver operating characteristic curve (ROC) was used to evaluate the effectiveness of SPARCC score decline as a response to treatment. Results ① Compared with baseline, after 12 weeks treatment, SPARCC scores [(15±4) and(33±10)], BASDAI [(3.2±0.9) and (5.2±1.1)], BASFI [(2.3±0.6) and (4.6±1.0)], BASMI [(2.3±0.7) and (4.1±1.1)], ASDAS-CRP scores [(2.0±0.8) and (3.7±0.9)], ESR [(16±12) mm/1 h and (49±26) mm/1 h], CRP [(7.2±2.8) mg/L and (30.4±19.3) mg/L] were significantly decreased (t values were 7.822, 6.950, 10.707, 7.204, 6.281,-4.015 and-4.257, respectively), and the differences were statistically significant (P=0.000). There was no significant difference in SSS scores between baseline [(20±6) and (19±7)] and after 12 weeks treatment (t=-0.761, P=0.455). ② Before treatment, SPARCC score showed positive linear correlation with BASDAI (r=0.630, P=0.001), ASDAS-CRP (r=0.646, P=0.001), CRP (r=0.574, P=0.003) and ESR (r=0.559, P=0.004), and the correlation of the above indexes disappeared after treatment (P>0.05). The association between SPARCC structral scores and the above indicators was not significant before and after treatment. ③ Areas under curve(AUC) of ROC for assessing treatment response by reduced SPARCC scores was 0.809. The cut-off value for response to treatment was 20.5, with the sensitivity of 68.8% and specificity of 75.0%. Conclusion The SPARCC MRI SIJ inflamm-ation score has certain value in evaluating disease activity and efficacy, while the SPARCC SSS is not. Key words: Spondyloarthritis; Magnetic resonance imaging; Disease activity; Sacroiliac joint
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".