Prevalence of anemia among chronic myeloid leukemia patients treated with Imatinib: A evidence based meta-analysis.
Bibliographic record
Abstract
Aim- 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. 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 January 2021. The quality of the articles was assessed using the Newcastle-Ottawa Scale. The prevalence rate with 95% C. I was calculated using StatsDirect Statistical analysis software V.3. Results A total of 18 studies containing 3,537 patients (male-1912 and female-1478) 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 physician should also take care of anemia while treating CML patients with imatinib. Anemia is a major concern associated with CML patients treated with Imatinib.
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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 | 0.012 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.032 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".