Chronic Myeloid Leukemia: Clinico-Hematological Profile from Southern Pakistan
Bibliographic record
Abstract
Background: Chronic myeloid leukemia is a form of chronic myeloproliferative disorder described by the presence of specific haematological and cytogenetic markers. It is a very common blood neoplasm that usually requires a basic clinical history, review, and regular blood examination to diagnose. If detected early, it has a high cure rate. Objective: To assess the clinical and laboratory features of chronic phase chronic myeloid leukemia patients. Study Design: Cross-sectional study Place and Duration of Study: Department of Haematology, Liaquat National Hospital and Medical College, Karachi 1st January 2012 to 31st December 2016 Methodology: One hundred and forty four chronic myeloid leukemia patients visited the study site during this period, of which 132 were in the chronic phase and met the eligibility criteria. The patient’s data, including age, gender, clinical and laboratory parameters were obtained. Results: One hundred and fifteen (87.1%) had constitutional symptoms, predominantly fatigue and abdominal discomfort. The clinical presentation displayed splenomegaly among 89.3% of patients with a mean spleen span of 18.9±3.7 cm and massive splenomegaly in 32.5% of patients. Haematological presentation at baseline showed that the mean haemoglobin level of the enrolled patients was 9.6±2.0g/dl, TLC was 167.6±123.3x109/l, and platelet count was 398.7±281.9x109/l. Furthermore, 19.4%of patients were anaemic, and hyperleukocytosis was detected in 24.2%. High LDH, hyperuricemia and elevated serum creatinine were present in 38.6%, 40.9%, and 14.3%, respectively. Conclusion: Unlike the western countries, chronic myeloid leukemiais more prevalent in a very young age group in Pakistan. The chronic myeloid leukemia patients displayed variable clinical and haematological presentation. Constitutional symptoms and splenomegaly were consistent features among the majority of patients. Keywords: Chronic myeloid leukemia, Clinico-hematological, Pakistan
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.003 | 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".