Trends in Use of and Survival after Autologous Hematopoietic Cell Transplantation in North America, 1995-2005: Significant Improvement in Survival for Lymphoma and Myeloma during a Period of Increasing Recipient Age
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Autologous hematopoietic cell transplantation (auto-HCT) is performed to treat relapsed and recurrent malignant disorders and as part of initial therapy for selected malignancies. This study evaluated changes in use, techniques, and survival in a population-based cohort of 68,404 patients who underwent first auto-HCT in a US or Canadian center between 1994 and 2005 and were reported to the Center for International Blood and Marrow Transplant Research (CIBMTR). The mean annual number of auto-HCTs performed was highest during 1996-1999 (6948), and decreased subsequently 2000-2003 (4783), owing mainly to fewer auto-HCTs done to treat breast cancer. However, the mean annual number of auto-HCTs increased from 5278 annually in 1994-1995 to 5459 annually in 2004-2005, reflecting increased use for multiple myeloma, non-Hodgkin lymphoma, and Hodgkin lymphoma. Despite an increase in the median recipient age from 44 to 53 years, there has been a significant improvement in overall survival (OS) from 1994 to 2005 in patients with chemotherapy-sensitive relapsed non-Hodgkin lymphoma (day +100 OS, from 85% to 96%; 1-year OS, from 68% to 80%; P < .001) and chemotherapy-sensitive multiple myeloma (day +100 OS, from 96% to 98%; 1-year OS, from 83% to 92%; P < .001). This improvement in OS was most pronounced in middle-aged (>40 years) and older (>60 years) individuals.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 it