Repair of Old Myocardial Infarction by Intracoronary Transplantation of Autologous Bone Marrow Mesenchymal Stem Cells: A Pilot Clinical Trial
Bibliographic record
Abstract
Experimental and clinical studies have shown that intracoronary transplantation of autologous bone marrow mesenchymal stem cells (BMSCs) has resulted in regenerated infarcted myocardium and improved left ventricular (LV) function. The aim of this pilot study was to assess the benefical effects of intracoronary transplantation of BMSC in patients with old myocardial infarction (OMI). Autologous BMSCs were transplanted by the intracoronary method via percutaneous transluminal coronary balloon angioplasty (PTCA) in five patients with old myocardial infarction. Time from myocardial infarction (MI) to cell therapy was 5.2 ± 3.11 months (mean ± SD). All patients were <70 years old (32-61 years) and had significant LV dysfunction (LV ejection fraction, mean ± SD, 34% ± 10.83%), and severe wall motion abnormality (akinesia and / dyskinesia) at the location of infarcted area. Follow up angiography was performed 6-9 months (mean ± SD,7 ± 1.4 months) after BMSC transplantation, which revealed an increased trend in the LV ejection fraction (LVEF) of patients after treatment (LVEF: Mean ± SD from 34 %± 10.83% to 46.25 %± 9.46%, P= 0.051 and median from 35% to 42.5%). Clinical follow up (for 12-18 months) also revealed appreciable improvement in their symptoms or functional class [dyspnea from New York Heart Association(NYHA)-Class Ш-IV to I–II and Chest discomfort from Canadian Cardiovascular Society (CCS) Class II-IV to I-II]. Intracoronary transplantation of autologous BMSC in patients with old myocardial infarction appears to be feasible, safe and effective .The therapeutic effect could be attributed to BMSCs ability to
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".