Accuracy of the model derived from red blood cell indices in predicting α0-thalassemia trait among non-anemic pregnant women

The combined-parameter prediction model provided excellent diagnostic performance with low false positive rate. The application of the prediction model could decrease unnecessary PCR method for α<sup>0</sup>-thalassemia testing, thereby decreasing the cost of investigation. Our proposed model can possibly have a great impact or significant change in clinical practice, especially in Southeast Asia.

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Publication Details

Journal
Heliyon
Published
2024-10-01
DOI
https://doi.org/10.1016/j.heliyon.2024.e39103
Citations
2
Primary Topic
Hemoglobinopathies and Related Disorders
Type
article
Field-Weighted Citation Impact
0.88

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article

Accuracy of the model derived from red blood cell indices in predicting α0-thalassemia trait among non-anemic pregnant women

Theera Tongsong, Pimlak Charoenkwan, Phudit Jatavan, Atiphoom Thiamkaew
2 citations
Heliyon
Hemoglobinopathies and Related Disorders
0.88
article

Accuracy of the model derived from red blood cell indices in predicting α0-thalassemia trait among non-anemic pregnant women

Theera Tongsong, Pimlak Charoenkwan, Phudit Jatavan, Atiphoom Thiamkaew
article en
2 citations

Abstract

The combined-parameter prediction model provided excellent diagnostic performance with low false positive rate. The application of the prediction model could decrease unnecessary PCR method for α<sup>0</sup>-thalassemia testing, thereby decreasing the cost of investigation. Our proposed model can possibly have a great impact or significant change in clinical practice, especially in Southeast Asia.

HeliyonVol. 10(20)
Chiang Mai University (TH)
Chiang Mai University, Thailand Research Fund
Gender equality
Openalex Percentile: Top 24%
Hemoglobinopathies and Related Disorders
0.88
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