ArticleDiagnostics (Basel, Switzerland)2022
Beyond the In-Practice CBC: The Research CBC Parameters-Driven Machine Learning Predictive Modeling for Early Differentiation among Leukemias.
Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06746571 (Role of Cbc Indices in Acute Lymphoblastic Leukemia Patients), which is not on this map. Cited by 24 papers.
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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.
Role of Cbc Indices in Acute Lymphoblastic Leukemia Patients
Who cites it
24 citing papers in PubMed, 34 citations in OpenAlex.
- Article
- Identifying predictive hematological biomarkers for radiation exposure by machine learning in mouse models.Communications medicine · 2026Article
- Performance Evaluation of GPT-5, Grok 4, and DeepSeek R1 in Interpreting Complete Blood Count Reports for Hematologic Diseases: Retrospective Comparative Study.Journal of medical Internet research · 2026Article
- A three-parameter complete blood count triage tool for monocytosis to prioritize hematology evaluation: development in MIMIC-IV and external validation in two independent cohorts.Frontiers in medicine · 2026Article
- AI-Based Computational Model Integrating Routinely Acquired Blood Parameters for Triage and Early Detection of Acute Myeloid Leukemia.Biomedical engineering and computational biology · 2026Article
- Diagnostic value of peripheral blood leukocyte parameters, NE-WX, LY-Y, MO-WY, MO-Y, MO-Z, and NE-SFL, in lung cancer.Frontiers in oncology · 2026Article
- Development of a screening model for APL using cell population data and deep learning-extracted WBC scattergram features.BMC cancer · 2025Article
- Application of artificial intelligence in laboratory hematology: Advances, challenges, and prospects.Acta pharmaceutica Sinica. B · 2025Review
- Machine learning-based models for screening of anemia and leukemia using features of complete blood count reports.Scientific reports · 2025Article
- Risk factors for severe COVID-19 and development of a predictive model.BMC pulmonary medicine · 2025Article
- The mean corpuscular volume (MCV) is a hematological biomarker associated with COVID-19 mortality risk.Biomarkers in medicine · 2025Article
- Machine Learning Model Predicts Abnormal Lymphocytosis Associated With Chronic Lymphocytic Leukemia.JCO clinical cancer informatics · 2025Observational
- Investigation Role of Toll-like Receptor-9 Gene and miR-155 Expression Levels in Acute Myeloid Leukemia via Quantitative Real-Time PCR.Asian Pacific journal of cancer prevention : APJCP · 2025Article
- Applications of Artificial Intelligence in Acute Promyelocytic Leukemia: An Avenue of Opportunities? A Systematic Review.Journal of clinical medicine · 2025Review
- A novel method for screening malignant hematological diseases by constructing an optimal machine learning model based on blood cell parameters.BMC medical informatics and decision making · 2025Article
- Single Cell Transcriptomics Genomics Based on Machine Learning Algorithm: Constructing and Validating Neutrophil Extracellular Trap Gene Model in COPD.International journal of general medicine · 2025Article
- A multicenter study on developing a prognostic model for severe fever with thrombocytopenia syndrome using machine learning.Frontiers in microbiology · 2025Article
- Development and application of machine learning models for hematological disease diagnosis using routine laboratory parameters: a user-friendly diagnostic platform.Frontiers in medicine · 2025Article
- Immunophenotypic properties association of CLL and ALL patient cells by flow cytometry analysis.Journal of Taibah University Medical Sciences · 2024Article
- Application of artificial intelligence in chronic myeloid leukemia (CML) disease prediction and management: a scoping review.BMC cancer · 2024Article
Corrections and comments
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Authors and funding
5 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A targeted and timely treatment can be a beneficial tool for patients with hematological emergencies (particularly acute leukemias). The key challenges in the early diagnosis of leukemias and related hematological disorders are their symptom-sharing nature and prolonged turnaround time as well as the expertise needed in reporting confirmatory tests. The present study made use of the potential morphological and immature fraction-related parameters (research items or cell population data) generated during complete blood cell count (CBC), through artificial intelligence (AI)/machine learning (ML) predictive modeling for early (at the pre-microscopic level) differentiation of various types of leukemias: acute from chronic as well as myeloid from lymphoid. The routine CBC parameters along with research CBC items from a hematology analyzer in the diagnosis of 1577 study subjects with hematological neoplasms were collected. The statistical and data visualization tools, including heat-map and principal component analysis (PCA,) helped in the evaluation of the predictive capacity of research CBC items. Next, research CBC parameter-driven artificial neural network (ANN) predictive modeling was developed to use the hidden trend (disease's signature) by increasing the auguring accuracy of these potential morphometric parameters in differentiation of leukemias. The classical statistics for routine and research CBC parameters showed that as a whole, all study items are significantly deviated among various types of leukemias (study groups). The CPD parameter-driven heat-map gave clustering (separation) of myeloid from lymphoid leukemias, followed by the segregation (nodding) of the acute from the chronic class of that particular lineage. Furthermore, acute promyelocytic leukemia (APML) was also well individuated from other types of acute myeloid leukemia (AML). The PCA plot guided by research CBC items at notable variance vindicated the aforementioned findings of the CPD-driven heat-map. Through training of
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.