Effect of intramyocardial bone marrow cell injection on diastolic function in patients with chronic myocardial ischemia
Bibliographic record
Abstract
PURPOSE: To evaluate the effect of intramyocardial bone marrow cell injection on diastolic function in patients with chronic myocardial ischemia. MATERIALS AND METHODS: In 24 patients (19 male; 65 +/- 9 years) with refractory angina (Canadian Cardiovascular Society [CCS] class III-IV) 84.6 +/- 28.7 x 10(6) bone marrow-derived mononuclear cells were injected intramyocardially (using the NOGA system) in regions with ischemia on Tc-99m tetrofosmin single photon emission computed tomography (SPECT). Diastolic function was evaluated at baseline and at three months using magnetic resonance imaging (MRI) and tissue Doppler imaging (TDI). RESULTS: MRI revealed an increased early (E) peak filling rate (374 +/- 121 mL/second vs. 412 +/- 102 mL/second; P = 0.04), whereas the atrial (A) peak filling rate remained unchanged (340 +/- 81 mL/second vs. 334 +/- 93 mL/second; P = not significant [NS]). The E/A peak flow ratio increased from 1.09 +/- 0.33 to 1.23 +/- 0.47 at three months (P = 0.02). TDI demonstrated a significant improvement in early diastolic velocity (E') from 4.4 +/- 1.7 cm/second to 4.8 +/- 1.6 cm/second at three months (P = 0.03), whereas the late diastolic velocity (A') remained unchanged (6.0 +/- 1.6 cm/second vs. 6.0 +/- 1.7 cm/second; P = NS). Consequently, the E'/A' ratio increased from 0.74 +/- 0.19 to 0.84 +/- 0.28 at three months (P = 0.02). CONCLUSION: Intramyocardial bone marrow cell injection in patients with chronic myocardial ischemia improved MRI and TDI-derived parameters of diastolic function.
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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".