MétaCan
Menu
Back to cohort
Record W3214227515 · doi:10.55175/cdk.v48i4.1471

Penggunaan Isotretinoin Oral pada Tatalaksana Akne Vulgaris

2021· article· id· W3214227515 on OpenAlexaboutno aff
Restu Nur Rohmah

Bibliographic record

VenueCermin Dunia Kedokteran · 2021
Typearticle
Languageid
FieldMedicine
TopicAcne and Rosacea Treatments and Effects
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAcneIsotretinoinDermatologyPapulopustularRosacea

Abstract

fetched live from OpenAlex

<p>Akne vulgaris adalah penyakit kulit paling umum dan dikaitkan dengan kecemasan, penurunan harga diri, stigma, dan skar pada wajah yang dapat menjadi beban penyakit yang signifikan bagi pasien. Pada kasus akne nodulokistik dan papulopustular yang berat, isotretinoin oral sering diresepkan sebagai terapi lini pertama yang berpotensi menyembuhkan penyakit. Pedoman praktik klinis Kanada, Amerika, dan Eropa merekomendasikan isotretinoin untuk penatalaksanaan akne derajat sedang hingga berat. Meskipun penggunaan klinis isotretinoin telah berlangsung bertahun-tahun, tinjauan komprehensif terapi isotretinoin pada pasien akne masih kurang. Artikel ini akan memaparkan penggunaan isotretinoin oral pada tatalaksana akne vulgaris.</p><p>Acne vulgaris is the most common skin disease and the associated anxiety, reduced self-esteem, stigma, and facial scarring can impose a significant burden on the patient. In cases of severe nodulocystic and papulopustular acne, oral isotretinoin is often prescribed as a first-line treatment, potentially cure of disease. Canadian, American, and European clinical practice guidelines have suggested that isotretinoin should be used for management of moderate to severe acne. Despite many years of clinical use of isotretinoin, a comprehensive review of evidence for isotretinoin therapy for acne is lacking. This article describes the use of oral isotretinoin in the treatment of acne vulgaris.</p>

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.497
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.003

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.

Opus teacher head0.015
GPT teacher head0.271
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueCermin Dunia KedokteranSame topicAcne and Rosacea Treatments and EffectsFrench-language works237,207