ArticleProceedings of the National Academy of Sciences of the United States of America2023
Assessment of stored red blood cells through lab-on-a-chip technologies for precision transfusion medicine.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
What it found
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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
30 citing papers in PubMed, 42 citations in OpenAlex.
- Blood-storage duration affects hematological and metabolic profiles in patients with sickle cell disease receiving transfusions.The Journal of clinical investigation · 2025Trial
- Continuous Measurement of Spatially Resolved Red Blood Cell Aggregation Using Multiple Side-Branch Channels.Biosensors · 2026Article
- Precision transfusion medicine in the omics era.Blood · 2026Review
- Fundamentals of big data and artificial intelligence in transfusion medicine.Vox sanguinis · 2026Review
- Lower efficacy of transfusion of red blood cells from donors with sickle cell trait.HemaSphere · 2026Article
- Micro Blood Flow-Resolved Rheometry.Micromachines · 2026Article
- Surface acoustic wave hemolysis assay for evaluating stored red blood cells.Lab on a chip · 2026Article
- High-Throughput Metabolomics in Transfusion Medicine.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Blood Mechanical Intelligence: From Force Sensing to Precision Mechanomedicine.Research (Washington, D.C.) · 2026Review
- Microfluidic Chip Platforms for Red Blood Cell Storage Lesion Quality Control and Precision Transfusion.Research (Washington, D.C.) · 2026Review
- Red cell physiologic stress results in lower quality transfusions: a randomized trial in adults with sickle cell disease.Blood red cells & iron · 2025Article
- Artificial Intelligence in Patient Blood Management: A Systematic Review of Predictive, Diagnostic, and Decision Support Applications.Journal of clinical medicine · 2025Review
- Supercooled storage of red blood cells slows down the metabolic storage lesion.Scientific reports · 2025Article
- Evaluation of Six Large Language Models for Clinical Decision Support: Application in Transfusion Decision-making for RhD Blood-type Patients.Annals of laboratory medicine · 2025Article
- Revolutionizing breast cancer monitoring: emerging hematocrit-based metrics - a narrative review.Annals of medicine and surgery (2012) · 2025Review
- Microfluidic Chip for Quantitatively Assessing Hemorheological Parameters.Micromachines · 2025Article
- Red blood cell metabolism: a window on systems health towards clinical metabolomics.Current opinion in hematology · 2025Review
- Demonstrating public health impacts of translational science at the clinical and translational science collaborative (CTSC) of northern Ohio: a mixed-methods approach using the translational science benefits model.Frontiers in public health · 2025Article
- AI Applications in Transfusion Medicine: Opportunities, Challenges, and Future Directions.Acta haematologica · 2025Review
- It's in your blood: The impact of age, sex, genetic factors and exposures on stored red blood cell metabolism.Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis · 2024Review
Corrections and comments
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Authors and funding
18 authors at 11 institutions in 4 countries.
Funding
Abstract
Transfusion of red blood cells (RBCs) is one of the most valuable and widespread treatments in modern medicine. Lifesaving RBC transfusions are facilitated by the cold storage of RBC units in blood banks worldwide. Currently, RBC storage and subsequent transfusion practices are performed using simplistic workflows. More specifically, most blood banks follow the "first-in-first-out" principle to avoid wastage, whereas most healthcare providers prefer the "last-in-first-out" approach simply favoring chronologically younger RBCs. Neither approach addresses recent advances through -omics showing that stored RBC quality is highly variable depending on donor-, time-, and processing-specific factors. Thus, it is time to rethink our workflows in transfusion medicine taking advantage of novel technologies to perform RBC quality assessment. We imagine a future where lab-on-a-chip technologies utilize novel predictive markers of RBC quality identified by -omics and machine learning to usher in a new era of safer and precise transfusion medicine.
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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.