Allogeneic Stem Cell Transplantation for Relapsed Follicular Non-Hodgkin’s Lymphoma: Single Centre Experience.
Bibliographic record
Abstract
Abstract Between 1993 and 2005, 57 patients with follicular lymphoma underwent high-dose chemo/radiotherapy and allogeneic hematopoietic stem cell transplantation (HSCT), 49 Allogeneic, (16 Bone Marrow and 33 Peripheral Blood), 6 MIN, 2 MUD. Median age was 47 years. Median days to neutrophil and platelet engraftment after HSCT were 18 and 13 days respectively. Twenty-five patients experienced Acute GVHD and thirty-four had Chronic GVHD (12 mild and 22 extensive). Thirty-three patients were in grade 1, 17 in grade 2, 4 in grade 3 and 3 grade 4. As of their FLIPI score, 4, 14, 21 and 18 patients were calculated to have score of 0, 1, 2 and 3 respectively. Forty-one patients are alive. Two patients have relapsed, one a year and the other two years after HSCT. The 5 year survival was 71.9% (95% CI 57.5–82.2%) and 5 year survival was 67.2% (95% CI 52.3–78.5%). Transplant related mortality rate (TRM) in 5 year was 22.4% (95% CI 63.6–86.8%). No significant differences was found among FLIPI groups 0,1,2 and 3 in terms of overall, relapse-free survival, TRM Allogeneic HSCT for patients with progressive follicular lymphoma is feasible and may result in prolonged disease-free survival.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".