ArticleClinical Medicine Insights. Oncology2025
Reading Between the Lines: Complete Blood Count-Derived Parameters as Prognostic Factors in Patients With Newly Diagnosed Acute Myeloid Leukemia.
Article in Clinical Medicine Insights. Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Research proved the prognostic significance of the neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), and red blood cell distribution width (RDW) in some hematological malignancies. This study aimed to analyze the role of pretreatment NLR, LMR, PLR, RDW coefficient of variation (RDW-CV), and RDW standard deviation (RDW-SD) as prognostic markers for acute myeloid leukemia (AML). Methods: This retrospective cohort study included 204 patients newly diagnosed with AML in the Department of Hematooncology and Bone Marrow Transplantation of the Medical University of Lublin. Results: In the univariate models, higher RDW-CV and lower LMR predicted a poorer response to induction chemotherapy (odds ratio [OR] = 1.21, 95% confidence interval [CI95] = [1.09-2.36], Conclusions: Higher NLR, higher RDW, lower LMR, and possibly lower PLR are poor prognostic factors that may help in the risk stratification of patients with AML.
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