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Clinical efficiency of the combined application of physiotherapeutic technologies and drinking mineral waters in patients with curral skin changes under conditions of insulin resistance

2021· article· en· W4200349555 on OpenAlexaboutno aff
Christina V. Kazantseva, Sergey N. Nagornev, В. К. Фролков, E. V. Gusakova, M. S. Nagorneva

Bibliographic record

VenueRussian Journal of Physiotherapy Balneology and Rehabilitation · 2021
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsnot available
Fundersnot available
KeywordsPhonophoresisMedicineMetabolic syndromeMetabolic control analysisInsulin resistanceInternal medicinePhysical therapySurgeryInsulinDiabetes mellitusEndocrinologyUltrasound

Abstract

fetched live from OpenAlex

BACKGROUND: One of the effective and pathogenetically substantiated methods of therapeutic action on cicatricial changes in the skin are laser technologies in combination with collagenases. However, as previous studies have shown, the presence of metabolic syndrome in patients significantly reduces the clinical efficacy of the combined use of laser therapy and phonophoresis of Fermencol. The most reasonable solution in this situation can be scientific research and experience in the practical use of drinking mineral waters, which have a high corrective efficiency in relation to metabolic processes, the course of which is significantly impaired in type II diabetes mellitus and metabolic syndrome. AIMS: Assessment of clinical indicators of cicatricial changes in the skin of patients with metabolic syndrome in the combined application of the method of phonophoresis Fermenkol, fractional photothermolysis and drinking mineral waters. MATERIAL AND METHODS: The study included 60 patients (49 men and 11 women) with cicatricial changes in the skin aged 19 to 50 years, with a confirmed diagnosis of metabolic syndrome. All patients by the method of simple fixed randomization were divided into two groups: the control group (30 people) and the main group (30 people). Both groups received treatment, which included a course of phonophoresis of 0.01% Fermencol gel in combination with the technique of fractional laser therapy. Patients of the main group, in contrast to the control group, in addition to the specified physiotherapeutic treatment received bottled sodium bicarbonate-chloride water Essentuki No. 17 (mineralization 11.8 g/l) at room temperature, 200250 ml three times a day for 1520 minutes before meals for 3 weeks. RESULTS: The addition of physiotherapeutic combined anti-scar therapy with a course of drinking mineral water Essentuki No. 17 in patients with cicatricial changes in the skin in combination with metabolic syndrome was accompanied by a significantly more pronounced clinical effect, assessed by the Vancouver scale and the Dermatological Index of Quality of Life. CONCLUSION: Additional course use of drinking mineral water Essentuki No. 17 is accompanied by a more pronounced dynamics of clinical manifestations of cicatricial deformities of the skin and an indicator of the quality of life of patients, due to the sanogenetic mechanisms of the drinking balneofactor.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.310
Teacher spread0.303 · 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 source (direct Gemma or distilled Codex), 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".

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Citations2
Published2021
Admission routes1
Has abstractyes

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