Prevalence of Anemia among Chronic Myeloid Leukemia Patients Treatedwith Imatinib: A Evidence-based Meta-analysis
Bibliographic record
Abstract
BACKGROUND: Imatinib is one of the tyrosine kinase inhibitors used for the treatment of chronic myeloid leukemia (CML) patients. The exact association of imatinib with anemia in CML patients is still unclear. AIM: The current study aimed to find the prevalence of anemia in chronic myeloid leukemia patients treated with imatinib. METHODS: The relevant articles were searched in PubMed, Google scholar, and Clinical trials registries till 31st July, 2021. The quality of the articles was assessed using the Newcastle-Ottawa Scale. The prevalence rate with 95% CI was calculated using StatsDirect Statistical analysis software V.3. RESULTS: A total of 18 studies containing 3537 patients were found relevant for the analysis. The pooled prevalence of anemia in CML was found to be 34% (95% CI: 23%-46%). However, the heterogeneity among studies was found to be high. CONCLUSION: The monitoring of hemoglobin levels and identifying the cause of anemia are major concerns for the CML patients treated with Imatinib.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.006 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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 teacher head, 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".