Up to half of patients diagnosed with chronic lymphocytic leukemia in México may not require treatment
Bibliographic record
Abstract
Introduction: Although therapeutic choices for patients with chronic lymphocytic leukemia (CLL) were once limited, treatment of this disease has vastly improved in the last decades.Patients and methods: Consecutive CLL patients diagnosed in a single institution were analyzed. Treatment was withheld in persons with CLL Rai stage 0 or 1, until progression and in persons with stages 2–4, with a negative expression of ZAP-70 until progression. Between 1983 and 1991, patients were give chlorambucil and prednisone (CP); after 1991 fludarabine and cyclophosphamide (FC) and after 1998, rituximab and FC (FCR).Results: 98 patients with CLL were identified; 49 were followed for >3 months. 21 persons (43%) did not require treatment nor progressed; 14 received CP, 6 FC, 7 FCR and one rituximab. Median overall survival (OS) has not been reached, being above 247 months; median OS for patients given CP was 115 months, for FC above 132 months and for FCR above 136 months (p > 0.5).Conclusion: CLL seems to be less aggressive in Mexican mestizos than in Caucasians; 43% of patients do not need treatment at all.
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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 | 0.000 |
| 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) | 0.009 | 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".