A study of verapamil in treatment of keloid
Bibliographic record
Abstract
<p class="abstract"><strong>Background:</strong> Keloid is a common presentation in clinical practice. Symptoms due to keloid are mild, but disfigurement and functional impairment can be severe. It is difficult to treat. Intralesional, injection triamcinolone acetonide, has limited efficacy, causes adverse effects such as local dermal atrophy, telengiectasia and hypopigmentation. Injection verapamil is reported to have similar efficacy, but lesser side effects, and is cheaper. Aim was to study efficacy and adverse effects of intralesional verapamil in treatment of keloid.</p><p class="abstract"><strong>Methods:</strong> An open label study on 25 patients of keloid, either gender, age 11 to 55 years at a medical college hospital. Injection verapamil 2.5 mg/ml was administered intralesionally, at an interval of 3 weeks, for a total of 6 sittings, over a period of 18 weeks. Vancouver scar scale (VSS) was used to assess the improvement. The statistical analysis was done using SPSS version 21.0.<strong></strong></p><p class="abstract"><strong>Results:</strong> Median duration of keloids was 8 months. The mean VSS score before treatment was 7.68 which reduced to 4.28 after treatment. Mean percentage change in VSS score was 46.21%, very highly significant (p&lt;0.001). Physician’s assessment was ‘very good’ in 32.0% and 'excellent' in 8.0%. The complaint of post-procedure pain was present in almost all.</p><p class="abstract"><strong>Conclusions:</strong> Intralesional injection verapamil, gives very good to excellent improvement in 40% of patients of keloid. Post injection pain persists for more than 24 hours. Drug does not cause local dermal atrophy or hypopigmentation.</p>
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 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".