[Effect of the anti-inflammatory peptide preparation ingramon on the blood levels of acute-phase proteins and chemokines in patients after coronary stenting].
Bibliographic record
Abstract
AIM: To study the effect of the anti-inflammatory peptide preparation ingramon on the peripheral blood levels of inflammatory markers in patients with exercise-induced stable angina after coronary stenting (CS). SUBJECTS AND METHODS: The investigation enrolled 64 patients with stable angina who had undergone coronary bypass surgery, of them 34 patients received ingramon in addition to standard therapy. The blood levels of high-sensitive C-reactive protein (hs-CRP), fibrinogen, the chemokines MCP-1, IL-8, IP-10, and MID were measured before and 1, 2, and 7 days and 1, 3, and 6 months after surgery. Twenty patients who had gone coronarography (CG) only were examined as a control group. RESULTS: In the post CS patients receiving only standard therapy, the levels of hs-CRP and fibrinogen were much higher on days 1, 2, and 7 after surgery than in the CG patients. On day 1 following CS, the increment in hs-CRP correlated with the length of implanted stents. During ingramon therapy, the content of hs-CRP and fibrinogen was considerably lower on days 1, 2, and 7 after CS than in the control group; this trend persisted a month after surgery; there was also a reduction in MCP-1 levels within the first 24 hours after initiation of therapy. The levels of the chemokines IP-10, MIG, and IL-8 were significantly unchanged. CONCLUSION. When added to standard therapy, ingramon exerts a positive effect against risk factors for coronary heart disease (CHD) and its events. Further investigations are required to define the impact of ingramon therapy on prognosis in patients with CHD.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".