Autologous blood and marrow transplantation in patients 60 years and older
Bibliographic record
Abstract
Although many hematologic malignancies are more common in older patients, autologous blood and marrow transplantation (ABMT) has traditionally been restricted to patients younger than 60 years because of concerns that older patients would be either unable to provide a graft or unable to tolerate the therapy. From June 1995 to May 1998, 30 patients > or = 60 years underwent ABMT at our institution for low-grade lymphoma (4 patients), relapsed intermediate-grade lymphoma (17 patients), or multiple myeloma (9 patients). The median patient age was 62.5 years (range 60-73). Pretransplantation conditioning regimens were CBV (cyclophosphamide, BCNU [carmustine], etoposide) or BEAM (carmustine, etoposide, cytarabine, melphalan) for intermediate-grade lymphoma patients and melphalan 140 mg/m2 + etoposide 60 mg/kg + total body irradiation 500 cGy for the others. The rescue product was bone marrow (BM; 4 patients), peripheral blood stem cells (PBSC; 23 patients), or BM+PBSC (3 patients). The median number of CD34+ cells/kg infused was 3.60 x 10(6) (range 0.53-31.0), by the International Society for Hematotherapy and Graft Engineering method. The treatment-related mortality at day 100 and at 6 months was 10% and 16.7%, respectively. The median days to neutrophil > 0.5 x 10(9)/L was 11 (range 9-25) and platelets > 20 x 10(9)/L was 16 (range 6-70). Three patients died of infection (days 26, 27, and 38), and 1 died of an intracranial hemorrhage related to persistent thrombocytopenia (day 130). Bearman regimen-related toxicity was moderate, with most toxicities < or = grade 2. Seven patients developed significant gut toxicity: 4 patients with Clostridium difficile colitis and 3 patients with neutropenic enterocolitis. Depressive symptoms and signs were noted in 4 patients. Three male patients developed decreased gonadal function after transplantation. These transplantations accounted for 997 patient days, of which 266 days (27%) were in the outpatient BMT program--a smaller percentage than in patients < 60 years (56%, P = .002). Twenty patients are alive 153 to > or = 1224 days after transplantation. ABMT in patients > or = 60 years of age is feasible. Further studies addressing supportive care particular to older patients and comparisons of ABMT with traditional approaches to multiple myeloma and relapsed non-Hodgkin's lymphoma in older patients are needed. Further work to identify elderly patients most likely to benefit from this approach is also required.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".