Impact of Serum Ferritin and Iron Overload on Acute Myeloid Leukemia Outcomes: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
OBJECTIVE: To evaluate the iron overload among individuals with acute myeloid leukemia (AML) who have not received red blood cell transfusions. METHODS: A comprehensive search was conducted in Embase, PubMed, PubMed Central, Web of Science, NIH, and Blood Library databases up to September 2023. The search strategy included keywords related to AML, iron overload, serum ferritin, survival, outcomes, and inflammation. Manual searches through included articles and relevant references were also performed. From 1650 initial articles, 16 studies involving 8752 patients met the inclusion criteria for systematic review. Statistical analysis used hazard ratios (HR) and confidence intervals (CI). Results: The systematic review and meta-analysis revealed a statistically significant association between high serum ferritin (SF) levels and poor outcomes in AML patients before starting chemotherapy. Elevated SF levels (>1000 mg/L) were associated with lower overall survival (OS) and event-free survival (EFS) (HR for OS: 1.99, 95% CI: 1.48-2.66; HR for EFS: 2.29, 95% CI: 1.73-3.05). Elevated SF levels were inversely correlated with the gradual onset of infections, indicating an increased risk of early mortality (p<0.05). CONCLUSION: Elevated serum ferritin levels are significantly associated with poor outcomes in AML patients before treatment initiation. These findings highlight the importance of monitoring iron levels in these patients to improve prognostic assessments and treatment strategies.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.010 | 0.006 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".