Quality of Life (QOL) improvement following catheter-based autologous bone marrow mononuclear cell transplantation (ABM-MCT)
Bibliographic record
Abstract
We have reported a pilot study of ABM-MCT to areas of ischemic myocardium [ 1 ], and in humans at 8 weeks follow-up after ABM-MCT ACC'03. The purpose of this study was to assess whether the changes in the QOL in patients with end-stage ischemic heart failure (ESIHF) submitted to catheter-based ABM-MCT persists in the 6 month follow-up. A prospective assessment of the QOL before and 8 and 24 weeks after ABM-MCT guided by the NOGA system, targeting hibernating myocardium in ESIHF, using the Minnesota Living with Heart Failure Questionnaire and the Medical Outcomes Study Short Form-36. The cardiac evaluation included Canadian Cardiovascular Society class, VO 2 max on the treadmill test, ejection fraction and end systolic volume on two-dimensional echocardiogram and total reversibility defect on MIBI-SPECT. There were 14 patients (two females). The changes in parameters 8 and 24 weeks after the procedure are presented in Table 1 . According to these objective data we observed a QOL improvement, based on the scores of Minnessota varying from 46 ± 19 to 30 ± 17 ( P = 0.002) at 8 weeks and to 18 ± 14 ( P = 0.003) at 24 weeks, and an increase of all eight dimensions of the Medical Outcomes Study Short Form-36 as presented in Table 2 . The data suggest that ABM-MCT can improve the QOL of patients with ESIHF. Prospective studies with a greater number of patients will be necessary to confirm these initial data.
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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".