Estudo clínico piloto do efeito de membranas contendo ácido úsnico incorporado em lipossomas no tratamento de queimados
Bibliographic record
Abstract
Burns are traumatic wounds that cause partial or total destruction of the skin, and can reach deeper layers. The healing process can be favored by a matrix of gelatin combined with liposome, which allows the incorporation of synthetic drugs, such as unic acid, to have antimicrobial and anti-inflammatory activity, being released in a controlled way in the damaged tissue. In this perspective, the objective of this research was to evaluate the effect of the liposome-embedded gelic membrane containing liposomes (P1QLS08) compared to the silver sulfadiazine ointment, a reference product used in the hospital's clinical practice for the burn healing process In humans. This study is a pilot, controlled and randomized clinical trial developed at the Burn Treatment Unit (UTQ) of Sergipe Emergency Hospital (HUSE). Thirty patients were studied, being the patient his own control. The areas for analysis were randomly selected, one area called test (membrane administration) and another called control (treated with silver sulfadiazine ointment). Initially, an analysis was performed in 15 patients for microbiological evaluation, macroscopic observation to follow the lesions, such as skin changes and possible complaints of patients during 7, 14 and 21 days after administration of the products. At the determined times, standardized photographic records were made of both the test area and the control area. The second stage of the study corresponded to the evaluation of 15 patients, following the same methodological criteria, using the analysis by ImageJ®, in order to obtain a quantitative evaluation. With the execution of this research, the efficacy of the bioactive membrane P1QLS08 was verified in humans, because it presented evident antimicrobial action and better quality of the cicatrization. The Vancouver scale assessment showed a difference between the groups, observing a better aspect of the scar in the test areas. The courage equipment showed greater elasticity, lower tissue damage and lower level of erythema in the test areas compared to the control area. Thus, the P1QLS08 membrane effectively contributes to the development of a new product of clinical importance in accelerating the biological events associated with healing in burn patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".