ArticlePloS one2015
Discrimination index of microcytic anemia in young soldiers: a single institutional analysis.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 33 citations in OpenAlex.
- Comparison of the diagnostic performance of machine learning algorithms for differentiating iron deficiency anemia and thalassemia.Annals of hematology · 2026Article
- Multiclass classification of thalassemia types using complete blood count and HPLC data with machine learning.Scientific reports · 2025Article
- Machine learning approach for differentiating iron deficiency anemia and thalassemia using random forest and gradient boosting algorithms.Scientific reports · 2025Article
- Article
- Comparison of screening indicators for different types of thalassemia carriers in Hunan Province.Journal of medical biochemistry · 2024Article
- Multi-criteria decision making to validate performance of RBC-based formulae to screenBMC medical informatics and decision making · 2024Article
- Novel Decision Tool for More Severe α-Thalassemia Genotypes Screening with Functional Loss of Two or More α-Globin Genes: A Diagnostic Test Study.Diagnostics (Basel, Switzerland) · 2022Article
- Differential diagnosis of thalassemia and iron deficiency anemia in pregnant women using new formulas from multidimensional analysis of red blood cells.Annals of translational medicine · 2021Article
- ThalPred: a web-based prediction tool for discriminating thalassemia trait and iron deficiency anemia.BMC medical informatics and decision making · 2019Article
- Shine & Lal index as a predictor for early detection of β-thalassemia carriers in a limited resource area in Bandung, Indonesia.BMC medical genetics · 2019Article
- Differentiation of beta thalassemia trait from iron deficiency anemia by hematological indices.Pakistan journal of medical sciencesArticle
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe common differential diagnosis of microcytic anemia in young Asian men includes iron deficiency anemia (IDA), α-thalassemia (αT) and β-thalassemia (βT). In this study, we aimed to distinguish between these diseases in a distinct population of young men using a specific index. PATIENTS AND
methodsWe retrospectively reviewed the laboratory data of young men with microcytic anemia. The clinical, characteristic and laboratory data, including complete blood cell counts, serum ferritin and hemoglobin electrophoresis results, were collected; genomic DNA mutations were also evaluated. Based on these data, ten discrimination indices were used to differentiate thalassemia from IDA. The sensitivity, specificity, positive and negative predictive values, Youden's index and receiver operating characteristic (ROC) curves were also calculated.
resultsA total of 877 patients (92 patients with IDA, 332 with αT and 453 with βT) were enrolled; the Shine and Lal (S&L) formula was the best method with which to discriminate IDA from thalassemia (100% sensitivity, 91% specificity). The new cut-off values were evaluated, and the approaches used in our study cohort, particularly the Green & King (G&K) formula, significantly increased the accuracies of red cell distribution width-containing indices (cut-off value: 58.66; 89.62% sensitivity and 96.2% specificity; AUC: 0.9716). In addition, when applied properly, these indices could differentiate IDA patients from αT patients, especially Huber-Herklotz index (HH).
conclusionsThe sensitivity and specificity differed among ethnic and age groups. We concluded that when using the original cut-off value, the S&L formula was the best discriminating index for differentiating between IDA and thalassemia in young Asian men. However, when using the G&K formula, the newly obtained cut-off value must be applied to increase accuracy based on the results from our cohort.
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