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Record W3111253002 · doi:10.4103/jmms.jmms_108_20

Microneedle-Assisted Steroid Delivery Therapy in the Management of Hypertrophic Scars

2020· article· en· W3111253002 on OpenAlexaboutno aff
Guruswamy Vishwanath, Jandhyala Sridhar

Bibliographic record

VenueJournal of Marine Medical Society · 2020
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicAdvancements in Transdermal Drug Delivery
Canadian institutionsnot available
Fundersnot available
KeywordsHypertrophic scarsMedicineLesionScarsDermatologySurgery

Abstract

fetched live from OpenAlex

Introduction: Microneedle assisted transdermal delivery is an emerging technique of drug delivery on the horizon with exciting potential therapeutic applications. Aims and Objectives: To study the role of microneedling assisted steroid therapy in the management of hypertrophic scars and make suitable recommendations on employability of the procedure as a treatment modality. Materials and Methods: Twenty six consecutive patients with hypertrophic burn scars were studied. Each scar was divided into two halves–control and test. Both halves received topical fluticasone propionate cream 0.05% once daily, silicone gel sheet and a pressure garment. In addition, the test half received microneedling therapy followed by fluticasone propionate cream 0.05% application twice weekly for twelve sittings. The two halves were evaluated for response using the Vancouver Scar Scale (VSS) at the beginning and end of therapy. Results: Twenty patients completed the study. No statistically significant difference was noted in the VSS scores of the two halves. Subjective relief of pruritus was found to be statistically significant in the test half. Conclusion: This study found that percutaneous microneedling assisted steroid therapy as per the the regimen used in this study produced no objectively assessed benefit in the management of hypertrophic scars. Relief of pruritus was noted.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.928
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.101
GPT teacher head0.389
Teacher spread0.288 · 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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Marine Medical SocietySame topicAdvancements in Transdermal Drug DeliveryFrench-language works237,207