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Record W4411498599 · doi:10.3390/idr17030072

Polylactic Acid Membranes, a Novel Adjunct Treatment for Bullous Impetigo

2025· article· en· W4411498599 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInfectious Disease Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicNail Diseases and Treatments
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineAdjunctImpetigoPolylactic acidDermatologySurgery

Abstract

fetched live from OpenAlex

Impetigo is a highly contagious bacterial skin infection characterized by blistering and erosions that can lead to significant discomfort and complications. The standard treatment includes topical or systemic antibiotics, but severe cases may require advanced wound management strategies. Polylactic acid (PLA)-based membranes have demonstrated effectiveness in enhancing wound healing, modulating inflammation, and reducing pain. Clinical case: We present three cases of bullous impetigo with extensive erosions, managed using PLA membranes as an adjunct to systemic antibiotics. A significant improvement was shown after 7 days of treatment of a single application, and complete resolution was achieved after 30 days. Notably, pain was resolved within 48–72 h, highlighting the analgesic and protective properties of the membrane. Conclusions: These findings suggest that PLA membranes provide a viable adjunct to antibiotic therapy in bullous impetigo, accelerating healing, reducing discomfort, and improving long-term skin outcomes. Given the increasing concern over antibiotic resistance and the limitations of standard wound care, bioresorbable synthetic membranes represent a promising alternative in dermatological wound management.

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.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.198
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.013
GPT teacher head0.299
Teacher spread0.286 · 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