The Clinical Course and Prognosis of Patients With Essential Thrombocythemia Treated With Hydroxyurea and Low-Dose Aspirin in an 11-Year Follow-Up
Bibliographic record
Abstract
Background: The main objective of this study was to determine the clinical course and prognosis in patients with essential thrombocythemia, treated with hydroxyurea and low-dose aspirin, and complications of treatment in a 12-year follow-up with a precise and regular control. Methods: In this study, 76 patients with high-risk essential thrombocytosis were retrospectively studied. Data obtained from initial examinations, sonography, complications, and treatment were analyzed. Results: The mean follow-up was 66.8 months (minimum, 3 months; maximum, 137 months). The mean age of patients was 46.9 years. The mean platelet count of patients at diagnosis and the last follow-up were 818,000/mm 3 and 422,000/mm 3 , respectively. In 60 patients, a gene mutation test for JAK2 V617F was performed and was reported as 36.7% positive. Nine patients had bleeding, two of whom were reported after treatment, and eight cases had thrombosis. Macrocytosis and myelofibrosis were seen in 32 and one cases, respectively. Moreover, no cases of leukemia or malignancy due to cytoreduction therapy were seen. One case of skin lesion was seen. Conclusion: A rapid diagnosis, accurate and regular control, and timely treatment can improve the quality of life and reduce morbidity and threatening complications. This study showed that complications using aspirin and hydroxyurea treatment are at the minimum level. J Hematol. 2016;5(4):117-122 doi: https://doi.org/10.14740/jh305w
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".