Clinical progression and outcome of patients with monoclonal B-cell lymphocytosis
Bibliographic record
Abstract
Monoclonal B-cell lymphocytosis (MBL) is a clonal lymphoproliferation with the immunophenotype of chronic lymphocytic leukemia (CLL) but a B-lymphocyte count of less than 5 x 10(9)/l and no lymphadenopathy, organomegaly, cytopenias or symptoms. We performed a retrospective analysis of patients with MBL (n = 46), Rai stage 0 CLL (n = 112) and Rai stage > or =1 CLL (n = 54). Median follow-up and range was 30 (0.1-120) months for MBL, 60 (0.1-309) months for stage 0 CLL and 54 (0.1-309) months for stage > or =1 CLL. None of the MBL patients required treatment compared with 24 of 112 (21%) stage 0 CLL and 28 of 54 (52%) stage > or =1 CLL patients (p < 0.0003). No MBL underwent aggressive transformation compared with 1 of 112 (0.8%) stage 0 CLL and 6 of 54 (11%) stage > or =1 CLL patients (p < 0.0003). Progression-free survival (PFS) appeared improved in MBL compared to stage 0 CLL, although this did not reach statistical significant (p = 0.07) due to the relatively short follow-up in the MBL group; two year PFS was 97.2% for MBL, 93.1% for stage 0 CLL, and 68% for stage > or =1 CLL patients (p < 0.0001 for stage > or =1 CLL compared with MBL and stage 0 CLL). This is the first study of outcome in MBL which demonstrates that patients have an improved disease course compared to stage 0 CLL patients. Over a median 2.5 years of follow-up, no MBL patients required treatment or died of CLL-related causes.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".