No association between <i>BCR-ABL1</i> fusion genes and clinical features of acute lymphoblastic leukaemia in Ghanaian patients
Bibliographic record
Abstract
INTRODUCTION: The BCR-ABL1 fusion gene has been associated with poor prognosis in acute lymphoblastic leukaemia (ALL). This study was designed to determine the presence, frequency and associated laboratory and clinical features of the BCR-ABL1 gene in Ghanaian patients diagnosed with ALL. METHODS: this was a cross-sectional study using archival methanol-fixed bone marrow aspirate slides of morphologically diagnosed ALL patients. Presence of the BCR-ABL1fusion gene was determined by fluorescent in situ hybridization. Clinical features and haematological parameters were extracted from the patients´ medical records. RESULTS: seventeen patients were studied, 13 (76.5%) males and 4 (23.5%) females. Median age was 24 years (range 15 to 67 years). A frequency of 29.4% was obtained for the BCR-ABL1 fusion gene. There was no significant association between presence of BCR-ABL1 and selected clinical features (lymphadenopathy, splenomegaly and hepatomegaly). All patients had moderate to severe anaemia with median haemoglobin concentration of 7.6 g/dL (range 3.7 to 8.7 g/dL). Median haemoglobin concentration for BCR-ABL1 positive patients was higher than that for negative patients (7.6 vs. 7.4 g/dL, p = 0.506); who also had higher median white blood cell counts (24.76 vs. 13.02 X 109/L), but lower median platelet counts (58.0 vs. 64.5 X 109/L, p = 0.721) and bone marrow blast percentages (78.5 vs. 98.0 %, p = 0.851) compared to negative patients. Conclusion: BCR-ABL1 fusion gene was detected in nearly one third of adult ALL patients in this study, with no significant association with common haematological parameters and clinical features of the disease.
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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 | 0.001 |
| 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) | 0.003 | 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".