Analysis of Source Material
1. Core Topic & Intended Audience:
The core topic is the advancement and validation of prognostic nomograms for predicting survival in patients with acute erythroid leukemia (AEL). The study utilizes data from the SEER database to identify key factors influencing survival and create models to estimate overall and cancer-specific survival.
The intended audience is primarily oncologists, hematologists, and researchers specializing in leukemia, especially AEL. The level of detail (mention of Cox regression, concordance indices, ROC analyses) suggests a readership familiar with statistical methods in medical research.It could also be of interest to clinicians involved in the care of AEL patients who are seeking tools to aid in prognosis and treatment decisions.
2. Optimal Keywords:
* Primary Topic: Acute Erythroid Leukemia Prognosis
* Primary Keyword: Acute Erythroid Leukemia
* secondary Keywords:
* Prognostic Nomogram
* Survival Prediction
* Acute Myeloid Leukemia (AML)
* SEER Database
* Chemotherapy
* Risk Stratification
* Cancer-Specific Survival
* Overall Survival
* TP53 Mutation (as a limitation)
* Hematology
* Oncology
* Prognosis
* Treatment Planning
* Risk Assessment
* Clinical Decision Support
* Retrospective Analysis
* validation Study
* Age (as a prognostic factor)
* Marital Status (as a prognostic factor)
* First Primary Tumor (as a prognostic factor)
* Decision Curve Analysis
* Calibration Curves
* Receiver Operating Characteristic (ROC) Analysis
* Concordance Index (C-index)
* autonomous Prognostic Factors
* Disease Outcomes
* Aggressive Leukemia
* Rare Cancer
* Standardized Treatment Strategy
* Molecular complexity
* Clinical Value
* External Validation
* Routine Datasets
* Disease Biology
* 2000-2021 (timeframe)
* Ma X et al. (author reference)
* discov Oncol. (journal reference)
* doi:10.1007/s12672-026-04465-8 (DOI reference)
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