Cell population data as predictive biomarkers for biologic therapy response in psoriasis
Bibliographic record
Abstract
Background Biologic agents have significantly improved psoriasis treatment, but patient responses exhibit considerable heterogeneity, highlighting the urgent need for practical predictive biomarkers of therapeutic efficacy.Research design and methods This prospective cohort study enrolled 422 psoriasis patients and 150 healthy controls. Sixteen CPD parameters were measured using a hematology analyzer. We analyzed associations between baseline CPD and disease severity as well as inflammatory markers, assessed their predictive value for treatment response over 48 weeks of biologic therapy, and monitored early dynamic changes in CPD and their relationship with treatment response in 169 patients.Results All CPD parameters were significantly elevated in psoriasis patients compared to healthy controls (all p < 0.001). Baseline mean lymphocyte volume (MN-V-LY) demonstrated sustained negative correlations with PASI improvement rates from weeks 4 to 48 (ρ = −0.278 to −0.449, all p < 0.001). Early reduction in monocyte volume heterogeneity (SD-V-MO) was significantly associated with long-term efficacy (ρ = −0.355 to −0.546, all p < 0.001).Conclusions As simple, standardized hematological parameters, CPD show potential for clinical application in predicting biologic therapy response in psoriasis.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".