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Record W2589566749 · doi:10.1139/cjpp-2016-0424

Effects of trimetazidine on interleukin-2 and interleukin-8 concentrations in patients with coronary artery disease

2017· article· en· W2589566749 on OpenAlexvenueno aff
Aleksander Danikiewicz, Janusz Szkodziński, Bartosz Hudzik, Ilona Korzonek-Szlacheta, Mariusz Gąsior, Barbara Zubelewicz‐Szkodzińska

Bibliographic record

VenueCanadian Journal of Physiology and Pharmacology · 2017
Typearticle
Languageen
FieldMedicine
TopicCardiovascular and exercise physiology
Canadian institutionsnot available
Fundersnot available
KeywordsTrimetazidineMedicineCoronary artery diseaseInterleukinInternal medicineInterleukin 1βCardiologyEndocrinologyGastroenterologyCytokine

Abstract

fetched live from OpenAlex

Trimetazidine (TMZ) exhibits metabolic and cardioprotective effects. The aim of this study was to assess the effects of TMZ on interleukin-2 (IL-2) and interleukin-8 (IL-8) serum concentrations in 156 patients with stable coronary artery disease. They underwent a treadmill exercise test (TET) before and after 3 months of TMZ treatment. IL-2 and IL-8 concentrations were determined before and after each TET. Before treatment, TET did not influence IL-2 concentrations, whereas IL-8 concentrations increased. TMZ treatment led to a decrease in IL-2 concentrations before TET, as well as it prevented the increase of IL-8 following the second TET. Obtained results confirmed the improvement in TET performance during TMZ treatment and they revealed a significant influence of TMZ on IL-2 and IL-8 concentrations both before and after TET. These changes may reflect potential anti-inflammatory effects of TMZ.

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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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

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 head0.248
Teacher spread0.241 · 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".

Quick stats

Citations8
Published2017
Admission routes1
Has abstractyes

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