Distinct characteristics and new prognostic scoring system for Chinese patients with Waldenström macroglobulinemia
Bibliographic record
Abstract
BACKGROUND: Waldenström macroglobulinemia (WM) is an uncommon lymphoid malignancy. The characteristics and prognosis of WM have never been systematically studied in the East. METHODS: We analyzed the clinical characteristics and the prognostic factors of 90 Chinese WM patients, and compared them with the Western reports. RESULTS: The median age was 62 years old with a male-to-female ratio of 3.74. The most common symptoms at diagnosis were fatigue (77.8%) and bleeding (20%), while only 6 patients (6.7%) were asymptomatic. In the univariate analysis, age >62 years, thrombocytopenia, leucopenia, cytopenias ≥ 2, and high risk on the international prognostic scoring system for WM were the adverse risk factors, but only age >62 years and ≥ 2 cytopenias were the independent prognostic factors in the multivariate analysis. Using age <62 years and ≥ 2 cytopenias, three significantly different prognostic groups could been distinguished, with 5-year overall survival of 71.6%, 48.6%, and 17.0% (P < 0.001). CONCLUSION: Distinct characteristics exist in WM in China compared to the West and we describe a new simple prognostic model for newly diagnosed WM patients.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| 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".