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Record W4386272581 · doi:10.25270/wnds/23094

Efficacy of a Polylactic Acid Matrix for the Closure of Wagner Grade 1 and 2 Diabetic Foot Ulcers: A Single-center, Prospective Randomized Trial

2023· article· en· W4386272581 on OpenAlexaff
Brock Liden, José L. Ramírez-GarcíaLuna

Bibliographic record

VenueWOUNDS A Compendium of Clinical Research and Practice · 2023
Typearticle
Languageen
FieldMedicine
TopicWound Healing and Treatments
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineDiabetic footWound healingRandomized controlled trialPolylactic acidSurgeryDebridement (dental)Prospective cohort studyRefractory (planetary science)Diabetes mellitus

Abstract

fetched live from OpenAlex

INTRODUCTION: CAMPs are used for treating refractory DFUs where other treatments have failed. PLA is a CAMP that has demonstrated effectiveness in promoting healing in burns and acute wounds. OBJECTIVE: A single-center, prospective, randomized controlled trial comparing PLA-guided closure matrices versus collagen dressings was conducted to assess healing of Wagner grades 1 and 2 DFUs. MATERIALS AND METHODS: A total of 30 participants were randomized to receive weekly debridement, wound care, and DFU offloading plus either PLA or collagen CAMPs. The primary outcome was the time to achieve full healing, and the secondary outcome was the proportion of ulcers healed at 12 weeks. RESULTS: The median time to achieve full healing was 9.3 ± 2.9 weeks in the PLA group versus 14.8 ± 8.1 weeks in the collagen group (P = .021), representing a 44% reduction in the time to heal. Furthermore, by 12 weeks, 80% of the PLA-treated ulcers were healed compared to only 33% in the collagen group (P = .025). CONCLUSION: The results of this study show PLA matrices induce a potent healing response that leads to reduced healing time and an increased OR for achieving healing by 12 weeks.

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)0.014
metaresearch head score (Gemma)0.054
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.095
Threshold uncertainty score0.954

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.054
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.274
GPT teacher head0.544
Teacher spread0.271 · 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 designRandomized trial
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

Citations10
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueWOUNDS A Compendium of Clinical Research and PracticeSame topicWound Healing and TreatmentsFrench-language works237,207