Clinical research for treatment of angina with autologous bone marrow mononuclear cell transplantation
Bibliographic record
Abstract
Objective To evaluate the safety and efficacy of transplantation of autologous bone marrow mononuclear cell (BMMNC) for angina.Methods Fifteen patients who had suffered from unstable angina were selected to receive intraeoronary transplantation immediately following percutaneous coronary intervention (PCI) with BMMNC (BMMNC group).Sixteen patients who had suffered from unstable angina only received treatment of regular medicine and PCI (non-BMMNC group).Two-D echocardiography,singlephoton emission computed tomography (SPECT) imaging and Holter monitoring electrocardiogram were checked up before and 6 months after the procedure.The complications of myocardial infarction,arrhythmia etc,efficacy for angina were evaluated during the procedure and 3,6 months after the procedure.Results The intracoronary injection of BMMNC did not result in myocardial infarction and arrhythmia during the transplantation.Efficacy parameters including nitroglycerine usage per week,exercise time 3 months after the procedure showed that BMMNC group were better than non-BMMNC group (P <0.05).Efficacy parameters including angina frequency per week,nitroglycerine usage per week,exercise time,and Canadian Cardiovascular Society class 6 months after the procedure showed that BMMNC group were better than nonBMMNC group[(12.6 ± 9.3) times/week vs.(18.0 ± 16.3) times/week,(-4.1 ± 14.7) mg/week vs.(4.8 ± 37.9)mg/week,(2.5±1.3)min vs.(2.0 ± 2.1) min, (-1.4 ± 1.0) grades vs.(-0.8 ± 1.7) grades](P＜0.05).Conclusion Intracoronary transplantation of autologous BMMNC is safe and efficient for angina. Key words: Angina pectoris; Bone marrow; Cell transplantation; Mononuclea cell
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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 | 0.002 | 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) | 0.002 | 0.001 |
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".