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Original Articles

Role of RDW in mathematical formulas aiding the differential diagnosis of microcytic anemia

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Pages 464-469 | Received 02 Mar 2020, Accepted 23 May 2020, Published online: 12 Jun 2020

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Naokazu Nakamura, Hiroko Tsunemine, Ryo Ikunari, Yasuhiro Tanaka & Nobuyoshi Arima. (2024) Red blood cell distribution width is a useful biomarker to predict bleeding and thrombosis risks in patients with immune thrombocytopenic purpura. eJHaem.
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Ying-feng Zhou, Jiao Wang, Xin-lin Wang, Shu-shu Song, Yue Bai, Jian-lin Li, Jing-yu Luo, Qi-qi Jin, Wei-cha Cai, Kai-ming Yuan & Jun Li. (2023) A prediction model of elderly hip fracture mortality including preoperative red cell distribution width constructed based on the random survival forest (RSF) and Cox risk ratio regression. Osteoporosis International 35:4, pages 613-623.
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Atul Kumar Jain, Prashant Sharma, Sarkaft Saleh, Tuphan Kanti Dolai, Subhas Chandra Saha, Rashmi Bagga, Alka Rani Khadwal, Amita Trehan, Izabela Nielsen, Anilava Kaviraj, Reena Das & Subrata Saha. (2024) Multi-criteria decision making to validate performance of RBC-based formulae to screen $$\beta$$-thalassemia trait in heterogeneous haemoglobinopathies. BMC Medical Informatics and Decision Making 24:1.
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晓妮 逯. (2024) The Correlation between Fibrinogen and Red Blood Cell Distribution Width and Kawasaki Disease in Children. Advances in Clinical Medicine 14:01, pages 883-888.
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Maliheh Mohammadi, Hamideh Ghazizadeh, Maryam Mohammadi‐Bajgiran, Mary Kathryn Bohn, Mahdiyeh Yaghooti‐Khorasani, Atieh Kamel Khodabandeh, Shannon Steele, Niyusha Torabzadeh Khorasani, Gordon A. Ferns, Hassan Boskabadi, Habibollah Esmaily, Khosrow Adeli, Reza Assaran Darban & Majid Ghayour‐Mobarhan. (2023) Pediatric reference intervals for hematology parameters in healthy infants and young children in Iran. International Journal of Laboratory Hematology 45:6, pages 845-852.
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Johannes J.M.L. Hoffmann & Eloísa Urrechaga. (2023) Recent advances in laboratory hematology reflected by a decade of CCLM publications . Clinical Chemistry and Laboratory Medicine (CCLM) 61:5, pages 829-840.
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Donghua Mo, Qian Zheng, Bin Xiao & Linhai Li. (2023) Predicting thalassemia using deep neural network based on red blood cell indices. Clinica Chimica Acta 543, pages 117329.
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Kun Song, Cuirong Guo, Zhao Zeng, Changluo Li & Ning Ding. (2022) Factors associated with in-hospital mortality in adult sepsis with Escherichia coli infection. BMC Infectious Diseases 22:1.
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Reena Das, Sarkaft Saleh, Izabela Nielsen, Anilava Kaviraj, Prashant Sharma, Kartick Dey & Subrata Saha. (2022) Performance analysis of machine learning algorithms and screening formulae for –thalassemia trait screening of Indian antenatal women . International Journal of Medical Informatics 167, pages 104866.
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Mina Jahangiri, Fakher Rahim, Najmaldin Saki & Amal Saki Malehi. (2021) Application of Bayesian Decision Tree in Hematology Research: Differential Diagnosis of β-Thalassemia Trait from Iron Deficiency Anemia. Computational and Mathematical Methods in Medicine 2021, pages 1-10.
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Yang Kai, Pan Ying, Yan Bo, Yu Furong, Chen Jin, Fu Juanjuan, Tian Pingping & Zhang Fasu. (2021) Red blood cell distribution width-standard deviation but not red blood cell distribution width-coefficient of variation as a potential index for the diagnosis of iron-deficiency anemia in mid-pregnancy women. Open Life Sciences 16:1, pages 1213-1218.
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Johannes J.M.L. Hoffmann & Eloísa Urrechaga. (2020) Assessment of the Martín-Sánchez indices for distinguishing beta thalassemia trait from iron deficiency anemia. Clinica Chimica Acta 510, pages 617-618.
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