The Safety and Effectiveness of Decapeptide in Patients With Vitiligo: A Real-World Study
Bibliographic record
Abstract
Background Vitiligo, a chronic autoimmune depigmenting skin disease, affects a significant portion of the global population. One of the topical treatment options for vitiligo is basic fibroblast growth factor (bFGF)-related decapeptide (bFGFrP) 0.1% solution. This study aimed to assess the real-world effectiveness and safety of decapeptide in treating vitiligo. Methods This retrospective analysis utilized data collected from routine clinical practice in the management of vitiligo, focusing on patients treated with topical decapeptide lotion (Melgain™, manufactured by Zydus Healthcare Ltd., Ahmedabad, India). The primary outcome measures included the extent of re-pigmentation (EOR) and the grade of re-pigmentation (GOR) assessed at each follow-up visit. Results The analysis included data from 65 patients (24 males and 41 females) with an average age of 30.83 years. Segmental vitiligo was present in 52.31% of cases, with the face being the most commonly affected site. Among the patients, 33 received decapeptide as monotherapy, while 32 received decapeptide alongside adjuvant drug/phototherapy. The mean duration of treatment was five months. The first, second, and final follow-ups were observed to be at a mean of 45 days, two months, and five months, respectively. During the second and final follow-up, a significant response (>75% re-pigmentation) was observed in 12% (eight) and 71% (46) of the patients. A mild response (<50% re-pigmentation) was noted in 45% (29) of the patients during the first follow-up visit, 15% (10) during the second follow-up visit, and 6% (four) during the final follow-up visit. Grade 6 and 7 re-pigmentation occurred in a higher number of patients at the final visit, indicating treatment effectiveness. Overall, nearly all patients (96.92%) reported excellent tolerability of the decapeptide lotion based on the global assessment of tolerability. Conclusion This real-world study demonstrates that decapeptide promotes re-pigmentation and improves patient outcomes in vitiligo. Both decapeptide regimens, as monotherapy or in combination with other therapies, were effective and well tolerated by most patients. Thus, decapeptide represents a safe and effective therapeutic option for vitiligo treatment.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".