Chinese medicine combined with calcipotriol betamethasone and calcipotriol ointment for Psoriasis vulgaris (CMCBCOP): study protocol for a randomized controlled trial
Bibliographic record
Abstract
BACKGROUND: Psoriasis causes worldwide concern because of its high-prevalence, as well as its harmful, and incurable characteristics. Topical therapy is a conventional treatment for psoriasis vulgaris. Chinese medicine (CM) has been commonly used in an integrative way for psoriasis patients for many years. Some CM therapies have shown therapeutic effects for psoriasis vulgaris (PV), including relieving symptoms and improving quality of life, and may reduce the relapse rate. However, explicit evidence has not yet been obtained. The purpose of the present trial is to examine the efficacy and safety of the YXBCM01 granule, a compound Chinese herbal medicine, with a combination of topical therapy for PV patients. METHODS/DESIGN: Using an add-on design, the trial is to evaluate whether the YXBCM01 granule combined topical therapy is more effective than topical therapy alone for the treatment of PV. The study design is a double-blind, parallel, randomized controlled trial comparing the YXBCM01 granule (5.5 g twice daily) to a placebo. The duration of treatment is 12 weeks. A total of 600 participants will be randomly allocated into two groups, YXBCM01 granule group and placebo group, from 11 general or dermatological hospitals in China. Topical use of calcipotriol betamethasone for the first 4 weeks and calcipotriol ointment for the remaining 8 weeks will be the same standard therapy for the two groups. Patients will be enrolled if they have a clinical diagnosis of PV, a psoriasis area severe index (PASI) of more than 10 or body surface area (BSA) of more than 10%, but PASI of less than 30 and BSA of less than 30%, are aged between 18 and 65-years-old, and provide signed informed consent. The primary outcome, relapse rate, is based on PASI assessed blindly during the treatment. Secondary outcomes include: (i) relapse time interval, (ii) time to onset, (iii) rebound rate, (iv) PASI score, (v) cumulative consumption of medicine, (vi) the dermatology quality life index (DLQI), and (vii) the medical outcomes study (MOS) item short form health survey (SF-36). Analysis will be on intention-to-treat and per-protocol subject analysis principles. DISCUSSION: To address the effectual remission of the YXBCM01 granule for PV, this trial may provide a novel regimen for PV patients if the granule can decrease relapse rate without more adverse effects. TRIAL REGISTRATION: Chinese Clinical Trial Registry (http://cwww.chictr.org): ChiCTR-TRC-13003233, registered 26 May 2013.
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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 | 0.016 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".