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Record W7046877158

Estudio Clínico para comparar la eficacia y tolerabilidad de la utilización de velos electrohilados para el tratamiento de pacientes quemados

2023· dissertation· en· W7046877158 on OpenAlex

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
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".

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRepository of Digital Objects for Teaching Research and Culture (University of Valencia) · 2023
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsnot available
Fundersnot available
KeywordsAdverse effectTolerabilityRandomized controlled trialClinical trialComplete responseSoft tissueLesionClinical efficacy
DOInot available

Abstract

fetched live from OpenAlex

Introduction: Split-thickness skin autografts are the gold standard for surgical treatment of burns. In preclinical studies, the use of an electrospun poly(lactic-co-glycolide) acid (PLGA) bioveil, placed between autografts and their bed, has shown potential to stimulate dermal regeneration, increase graft take and improve scar quality. This bioveil also has potential as a drug delivery scaffold due to its three-dimensional structure and biodegradability. These properties have not yet been evaluated in human clinical trials. Objective: The primary goal of this study was to compare intra-individually the effectiveness and tolerability of the SKINHEALTEX PLGA bioveil used in conjunction with partial skin autografts for the treatment of debrided burns, compared to partial skin autografts alone. Materials and methods: A double-blind randomized controlled clinical trial was conducted with adult patients with burns that required surgical treatment, for 4 years (November 2018 to September 2022). Each patient acted as their own control, and they were followed for 12 months. In the control area an autograft was applied, while in the treatment area the PLGA bioveil was interposed between the autograft and the bed. The outcome variables were the percentage of graft take, evaluated clinically, the scar quality measured using the Vancouver Scar Scale and the Patient and Observer Scar Assesment Scale, and scar elasticity using a device based on the deformation after applying negative pressure. Blood test variables preoperatively and one month after surgery were also collected, as well as adverse events (phase I-II clinical trial, safety and effectiveness). Results: The bioveil was well tolerated in the 26 patients that were recruited. No adverse events related to the bioveil or laboratory changes suggestive of systemic effects were observed. No statistically significant differences were observed in partial skin autograft take and subsequent scar quality between the control group (partial skin autografts alone) and the autograft and SKINHEALTEX PLGA bioveil group. Conclusion: This is the first clinical trial investigating the application of an electrospun biomaterial in the treatment of burns using skin autografts. SKINHEALTEX PLGA is a biocompatible and safe product that can be applied as an interface between autografts and the debrided bed of a burn, without reducing graft take. The results of this sstudy suggest 7 potential of the PLGA bioveil as a possible route of administration for local therapies that increase graft take of autografts and/or improve the quality of the resulting scars in burn patients.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.651
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.031
GPT teacher head0.339
Teacher spread0.308 · 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