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ASSESSMENT OF POST-BURN WOUNDS IN CHILDREN AFTER USING BIOPLASTIC COLLAGEN MATERIAL

2020· article· en· W3039144901 on OpenAlexaboutno aff
A. V. Hlutkin, V. G. Vakulchyk

Bibliographic record

VenueJournal of the Grodno State Medical University · 2020
Typearticle
Languageen
FieldMedicine
TopicWound Healing and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsBioplasticMedicineBurn woundSurgeryWound healingWaste management

Abstract

fetched live from OpenAlex

Background. Assessment of the state of healed burn wounds after their treatment is an urgent problem at the present time.Aim of the research. To assess the condition of post-burn wounds in 1 and 6 months after the completion of treatment of II-III degree burns (according to ICD-10) in children using bioplastic collagenous material "Collost" in various forms and traditional local conservative therapy using hydrocolloid dressings.Material and methods. The condition of the healed wound was assessed at discharge, as well as after 1 and 6 months in 48 patients using modified Vancouver Scar Scale (management of burn wounds: main group - bioplastic material and hydrocolloid dressings; control group - hydrocolloid dressings).Results. The use of native collagen in the complex treatment of thermal trauma helps to reduce the relative and absolute risk after 1 and 6 months as well as to lower adverse trends from the post-burn wound.Conclusions. The obtained results suggest further investigation of the mechanism of influence of type I collagenbased drugs on the dynamics of the wound process in thermal burns, as well as the study of its effect on individual wound characteristics described by the Vancouver scar scale.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.258

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.012
GPT teacher head0.259
Teacher spread0.247 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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 the Grodno State Medical UniversitySame topicWound Healing and TreatmentsFrench-language works237,207