ArticleHeliyon2024
Accuracy of the model derived from red blood cell indices in predicting α
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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Who cites it
3 citing papers in PubMed.
- The shifting global thalassemia burden and lessons from Chineseintegrated control strategy.iScience · 2026Article
- Iron Deficiency Diagnosis in Sub-Saharan Africa: Challenges, Barriers, and Opportunities.Anemia · 2026Review
- Accuracy of Red Blood Cell Parameters in Predicting αJournal of clinical medicine · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The study aims to establish prediction model derived from red blood cell indices to improve the accuracy of α Method: A diagnostic study as secondary analysis on the prospective database was conducted. The participants were pregnant women, undergoing α Findings: The total 587 Thai pregnant women were included in the analysis, consisting of 136 cases of α Interpretation: 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
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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.