Efektifitas Terapi Injeksi Kortikosteroid Intralesi Dan 5-Flurourasil Pada Penderita Keloid
Bibliographic record
Abstract
Keloid adalah keluhan dermatologis umum yang diakibatkan oleh terganggunya proses penyembuhan luka normal. Meskipun ada banyak pendekatan terapeutik untuk keloid, namun tidak ada satu metode pun yang memberikan efikasi penuh. Salah satu modalitas terapi untuk keloid adalah kombinasi injeksi intralesi Triamcinolon acetonide dan 5-Fluorourasil (5-FU). Penelitian ini bertujuan untuk membandingkan efektivitas antara terapi injeksi kortikosteroid dengan kombinasi terapi injeksi triamsinolon asetat dan 5-FU terhadap perbaikan klinis keloid. Penelitian ini merupakan penelitian uji klinis desain paralel dengan matching. Populasi penelitian ini adalah seluruh penderita keloid yang berobat di poliklinik kulit dan kelamin RSUDZA Banda Aceh dengan besar sampel 12 pasien dikelompokkan dalam 2 kelompok yaitu kelompok kontrol yang mendapatkan terapi injeksi kortikosteroid intralesi dan kelompok uji yang mendapatkan kombinasi terapi injeksi kortikosteroid intralesi dan injeksi 5-Flurourasil. Berdasarkan hasil penelitian menunjukkan bahwa terapi kombinasi triamcinolon acetonide dengan 5-FU dan triamcinolon acetonide sebagai terapi keloid menunjukkan hasil yang lebih baik, tetapi tidak terdapat perbedaan signifikan antara kedua kelompok yang dinilai menggunakan Vancouver Scar Scale.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".