ArticleMediterranean journal of hematology and infectious diseases2023
Prevalence of Thalassemia in the Vietnamese Population and Building a Clinical Decision Support System for Prenatal Screening for Thalassemia.
Article in Mediterranean journal of hematology and infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 19 citations in OpenAlex.
- Third-generation sequencing technology in the prevention and control of thalassemia: Applications and advances.The Journal of international medical research · 2026Review
- Prevalence of Severe Thalassemia and Performance of Prenatal Screening Tests Among Pregnant Women at Siriraj Thalassemia Center in Thailand.Clinical and translational science · 2026Article
- Prediction ofFrontiers in medicine · 2026Article
- Nutritional deficiencies among adults with beta thalassemia major in Vietnam.Public health nutrition · 2025Article
- Dietary Patterns Among Patients With Beta-Thalassemia Major in Vietnam.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2025Article
- Thalassemia in Bangladesh: progress, challenges, and a strategic blueprint for prevention.Orphanet journal of rare diseases · 2025Review
- Artificial Intelligence in Biomedical Engineering and Its Influence on Healthcare Structure: Current and Future Prospects.Bioengineering (Basel, Switzerland) · 2025Review
- Cardiac injury caused by iron overload in thalassemia.Frontiers in pediatrics · 2025Review
- Iron Deficiency Anaemia Screening and Management in Young Children: India and Southeast Asia Consensus.Anemia · 2025Article
- From CBC to clarity: Interpretable detection of beta-thalassemia carriers in imbalanced datasets.PloS one · 2025Article
- CRISPR/Cas-edited iPSCs and mesenchymal stem cells: a concise review of their potential in thalassemia therapy.Frontiers in cell and developmental biology · 2025Review
- Burden and causes of anemia in Vietnam: insights from the global burden of disease data.BMC public health · 2024Article
- Article
- Prevalence of common autosomal recessive mutation carriers in women in the Southern Vietnam following the application of expanded carrier screening.Scientific reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: The prevalence of thalassemia among the Vietnamese population was studied, and clinical decision support systems for prenatal screening of thalassemia were created. The aim of this report was to investigate the prevalence of thalassemia in the Vietnamese population, building a clinical decision support system for prenatal screening for thalassemia. Methods: A cross-sectional study was conducted on pregnant women and their husbands visiting the Vietnam National Hospital of Obstetrics and Gynecology from October 2020 to December 2021. A total of 10112 medical records of first-time pregnant women and their husbands were collected. Results: A clinical decision support system was built, including 2 different types of systems for prenatal screening for thalassemia (an expert system and 4 AI-based CDSS). One thousand nine hundred ninety-two cases were used to train and test machine learning models, while 1555 cases were used for specialized expert system evaluation. There were ten key variables for AI-based CDSS for machine learning. The four most important features in thalassemia screening were identified. The accuracy of the expert system and AI-based CDSS was compared. The rate of patients with Alpha thalassemia is 10.73% (1085 patients), the rate of patients with beta-thalassemia is 2.24% (227 patients), and 0.29% (29 patients) of patients carry both alpha-thalassemia and beta-thalassemia gene mutations. The expert system showed an accuracy of 98.45%. Among the AI-based CDSS developed, the multilayer perceptron (MLP) model was the most stable regardless of the training database (accuracy of 98,5% using all features and 97% using only the four most important features). Conclusions: When comparing the expert system with the AI-based CDSS, the accuracy of the expert system and AI-based models was comparable. The developed expert system for prenatal thalassemia screening showed high accuracy. AI-based CDSS showed satisfactory results. Further development of such systems is promising with a view to their introduction into clinical practice.
Indexed as
Identifiers
What OpenQuestion holds
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.