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The use of medicinal cosmetics in the complete treatment of rosacea

2018· article· en· W2789739485 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.

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

VenueCurrent issues in pharmacy and medicine science and practice · 2018
Typearticle
Languageen
FieldMedicine
TopicMedicinal plant effects and applications
Canadian institutionsnot available
Fundersnot available
KeywordsCosmeticsRosaceaBusinessMedicineTraditional medicineDermatologyAcnePathology

Abstract

fetched live from OpenAlex

The aim of work is to carry out literature analysis about etiology and pathogenesis, classification and methods for rosacea correction, to conduct marketing research of the pharmaceutical market of medical cosmetics, to identify the main groups of biologically active substances in their composition.Materials and methods. In the course of the research we analyzed the pharmaceutical market of Ukraine for the availability of pharmaceutical cosmetics (price policy of the manufacturer) and the composition of biologically active substances.Results. The medicinal cosmetic products (MCP) for the skin prone to couperose and rosacea are represented by the products of Ukraine and foreign manufacturers - namely, France, Canada, Poland and Russia. French anti-cure agents are represented by the following companies: Avene, La Roche, Ducray, Uriage, Lierac, Nuxe, Ukrainian – Stop Cuperoz, Polish - Clarena, Canada by Galderma and Russian – Cora.When reviewing the biologically active components of MCP presented in the market it is evident that they include a large number of extracts, vitamins, essential oils, vegetable oils, organic acids, as well as proprietary complexes. Predominantly, these substances are anti-inflammatory, venotonic, anti-edema, reduce vascular permeability and strengthen the walls of capillaries. Gel, lotions, tonics, emulsions, milk, creams and thermal water are selected as cosmetic forms.Conclusions. On the basis of the literature analysis, the main causes of occurrence, pathogenesis of rosacea (couperose) and methods of its correction were established. Statistical and comparative methods were used in the research process. As a result of the research of the market of anticorrosion agents, it was established that MCP are represented by foreign manufacturers, the vast majority of which are French (75 %). 18.8 % of the data are made by manufacturers of Canada, Poland and Russia. Ukrainian MCP are represented by "PhytoBioTechnologies " – 6.25 %. As for dosage forms – creams prevail. There are also emulsions, tonics, milk, thermal water, masks, gels and lotions. There are groups of basic biologically active substances in the composition of MCP against couperose. Based on the research, the Ukrainian national market has the potential to introduce new medical forms, both national and foreign.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.969
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
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 head0.286
GPT teacher head0.514
Teacher spread0.228 · 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