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Record W3135837979

Analysis of the clinical trial results of the flavonoid effects on some cellular immunity indicators in children and adults.

2021· article· en· W3135837979 on OpenAlexaff
Galina Beketova, Larisa Kuznetsova, Oleksandr Grynevych, Tetiana Broun, Liudmyla Momotiuk, Олена Мотузка, Liudmyla Yashchenko

Bibliographic record

VenuePubMed · 2021
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacology and Nanomedicine Research
Canadian institutionsDebiopharm Group (Canada)
Fundersnot available
KeywordsClinical trialMedicineImmunityCellular immunityImmune systemImmunologyInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

In the scope of this paper, an analysis of the clinical trial results assessing the clinical and immunological efficacy of the effects of flavonoids on some indicators of immunity in children and adults is given. AIM: The aim of the study was to evaluate the effects of flavonoids on the cellular component of the immune system in children and adults with viral and viral-bacterial diseases by using meta-analysis and statistical analysis of the clinical findings. MATERIALS AND METHODS: The analysis comprises 5 scientific sources with the results of controlled clinical trials involving 412 children and 15 sources involving 1493 adult patients during the period from 2003 to 2017. In analysis Student's t-test was applied. RESULTS: The data obtained indicate the efficacy of flavonoids in the treatment of viral and viral-bacterial diseases in children and adults. The administration of flavonoids (Proteflazid®, Immunoflazid®, Flavozid®) in the treatment of children with acute respiratory diseases and adults with HHV infection contributes to the normalization of cellular immunity indicators, the HHV infections symptom resolution, and the relapse rate reduction of genital herpes caused by HHV infection. CONCLUSIONS: Therapy with such medical products as Proteflazid®, Immunoflazid®, Flavozid® helps to improve the clinical status and normalize the cellular immunity indicators in patients who were administered a treatment course.

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)0.005
metaresearch head score (Gemma)0.002
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 score0.115
Threshold uncertainty score0.700

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.089
GPT teacher head0.432
Teacher spread0.343 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

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