Additional file 1 of Serial Lipocalin 2 and Oncostatin M levels reflect inflammation status and treatment response in axial spondyloarthritis
Bibliographic record
Abstract
Additional file 1: Figure S1. Correlation of CRP levels with MRI scores. Correlation of CRP levels with SPARCC SIJ scores and Berlin Spine scores in patients with the involvement of LCN2 pathway alone (L++) and with normal LCN2 (Ln). Pearson's correlation coefficient test was used. Table S1. Demographics of axSpA patients in different categories. Table S2. Summary of different categories of patients with the involvement of different pathway(s). Table S3. Sensitivity, specificity, positive and negative predictive values using different LCN2 cutoffs. Table S4. Treatment outcome in patients with LCN2 pathway alone (TNFi vs no TNFi). A. Comparison of OSM negative patients treated with TNFi: patients with persistent LCN2 elevation (L++) vs. transient LCN2 elevation (L+) vs. normal LCN2 (Ln). B. Comparison of OSM negative patients never received TNFi treatment: L++ vs. L+ vs. Ln patients. One-way analysis of variance followed by Bonferroni’s multiple comparison test and Pearson’s chi square test were used. Table S5. Treatment outcome in patients with OSM pathway alone (TNFi vs no TNFi). A. Comparison of patients with normal LCN2 treated with TNFi: patients with persistent OSM elevation (O++) vs transient OSM elevation (O+). LCN2 and OSM levels were compared between these two patient groups. B. Comparison of patients with normal LCN2 and never received TNFi treatment: O++ vs O+ patients. LCN2 and OSM levels were compared between these two patient groups. Table S6. The use of 95%CI of LCN2 and OSM to predict signature of axSpA patients. Table S7. Prevalence of patients having mSASS>50 in CQSA vs CQSQ subgroups.
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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 | 0.002 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.865 | 0.104 |
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".