MétaCan
Menu
Back to cohort
Record W4292738936 · doi:10.47191/ijmscrs/v2-i8-23

Salmon DNA Combination for Hypertrohic Scar Treatment with Diabetes Mellitus Type 2: A Case Report

2022· article· en· W4292738936 on OpenAlexaboutno aff
Andi Muh. Octavian Pratama

Bibliographic record

VenueInternational Journal of Medical Science and Clinical Research Studies · 2022
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsnot available
Fundersnot available
KeywordsHypertrophic scarMedicineSurgeryTriamcinolone acetonideScarsIntradermal injectionWound healingDermatology

Abstract

fetched live from OpenAlex

Background: Hypertrophic scar is a problem of wound healing process. Salmon DNA (Polydeoxyribonucleotide/PDRN) is a mixture of deoxyribonucleotide gonads derivate of Oncorhynchus mykiss (Rainbow Salmon) that helps wound healing process and preventing the formation of scars. Methods: A diabetic 30-year-old man with 5x3 cm hypertrophic scar on his dorsal hand since 10 months. The hypertrophic scar had been treated with ointments and Triamcinolone 10mg/ml every 2 weeks for 2 months. The patient was treated with intradermal injection 2% Polydeoxyribonucleotide (PDRN) in 2.7 ml (PDRN Bellavita®) and topical therapy containing Allium cepa extract and Vitamin E (Lanakeloid®) every 12 hours. PDRN was injected intradermal into the whole area of the scar using a 30-G Needle at a dose of 0.05 ml at each injection site with a distance of about 0.5-1.0 cm. PDRN was given every 2 weeks for 3 months. Vancouver Scar Scale was used to asses hypertrophic scar treatment progress. Results: The Vancouver Scar Scale was downgrading from 10 to 3 in 3 months. Conclusion: The combination of PDRN injection with topical administration of Allium cepa and vitamin E, is effective for hypertrophic scar treatment.

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)0.012
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.638
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.271
GPT teacher head0.574
Teacher spread0.303 · 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; a candidate call from one teacher head, not a consensus.

Study designOther design
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

Citations2
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Medical Science and Clinical Research StudiesSame topicDermatologic Treatments and ResearchFrench-language works237,207