Long-Term Medical Outcomes and Quality-of-Life Assessment of Patients With Chronic Myeloid Leukemia Followed at Least 10 Years After Allogeneic Bone Marrow Transplantation
Bibliographic record
Abstract
PURPOSE: Benchmark analysis of patients with chronic myeloid leukemia (CML) alive for more than 10 years after allogeneic bone marrow transplantation (BMT) including data on disease status, bone marrow reserve, long-term complications, and quality of life (QOL). PATIENTS AND METHODS: Eighty-nine patients (46 in first chronic phase, 43 in advanced phase) received an allogeneic BMT for CML during the study period. Medical outcomes and QOL of patients were analyzed retrospectively. RESULTS: Twenty-eight (31.5%) of 89 patients were alive at 10 years and included in this analysis. Thirteen (46.4%) of 28 long-term survivors never relapsed. Fifteen patients relapsed between 0.5 and 16 years after transplantation. Ten patients showed a hematologic relapse and received salvage treatment. Five patients showed transient low levels of BCR-ABL-positive cells by Southern blot with no subsequent hematologic relapse. One of the 28 patients died in blast crisis at 12 years. The most frequent long-term complications were chronic graft-versus-host disease, osteoporosis, and cataracts. Frequency of clonogenic progenitors remained persistently decreased. QOL assessment yielded lower scores in physical performance as compared with an age-matched normative population, whereas social functioning was equivalent. A high degree of satisfaction was noted with interpersonal relationships. CONCLUSION: Patients with CML surviving their BMT long term do well in terms of medical outcomes. A constant rate of relapse was noted, with a high salvage rate of affected patients, suggesting the need for lifelong monitoring. QOL is perceived as good, particularly as related to social functioning; however, it is inferior to a normative population with regard to physical performance.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".