ArticleFrontiers in medicine2021
Machine Learning for the Prediction of Red Blood Cell Transfusion in Patients During or After Liver Transplantation Surgery.
Article in Frontiers in medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed, 39 citations in OpenAlex.
- Unified comparison of machine learning paradigms for blood transfusion prediction in pediatric congenital heart surgery.iScience · 2026Article
- AI and Blood Banking: Predicting Transfusion Demand - A Systematic Review of Forecasting Approaches.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2026Review
- Artificial Intelligence in Post-Liver Transplantation: A Scoping Review of Comparative Model Performance.Journal of clinical medicine · 2026Review
- Artificial Intelligence in Patient Blood Management: A Systematic Review of Predictive, Diagnostic, and Decision Support Applications.Journal of clinical medicine · 2025Review
- Machine learning for the prediction of blood transfusion risk during or after mitral valve surgery: a multicenter retrospective cohort study.Scientific reports · 2025Article
- Prediction of biological evolution following blood product transfusion during liver transplantation: the contribution of machine learning to decision-making.BMJ health & care informatics · 2025Article
- Mapping the landscape of machine learning models used for predicting transfusions in surgical procedures: a scoping review.BMC medical informatics and decision making · 2024Article
- Enhancing Trauma Care: A Machine Learning Approach with XGBoost for Predicting Urgent Hemorrhage Interventions Using NTDB Data.Bioengineering (Basel, Switzerland) · 2024Article
- Development of machine learning models to predict perioperative blood transfusion in hip surgery.BMC medical informatics and decision making · 2024Article
- Forecasting demand for blood products: Towards inventory management of a perishable product.Bioinformation · 2024Article
- Machine learning in transfusion medicine: A scoping review.Transfusion · 2024Article
- Construction and validation of a machine learning model for the diagnosis of juvenile idiopathic arthritis based on fecal microbiota.Frontiers in cellular and infection microbiology · 2024Article
- Prediction of intraoperative red blood cell transfusion in valve replacement surgery: machine learning algorithm development based on non-anemic cohort.Frontiers in cardiovascular medicine · 2024Article
- Robust Meta-Model for Predicting the Likelihood of Receiving Blood Transfusion in Non-traumatic Intensive Care Unit Patients.Health data science · 2024Article
- Prediction of red blood cell transfusion after orthopedic surgery using an interpretable machine learning framework.Frontiers in surgery · 2023Article
- Assessment of the need for routine intraoperative cell salvage in liver transplantation.Acta cirurgica brasileira · 2023Article
- Multivariable statistical models to predict red cell transfusion in elective surgery.Blood transfusion = Trasfusione del sangue · 2023Article
- Predicting willingness to donate blood based on machine learning: two blood donor recruitments during COVID-19 outbreaks.Scientific reports · 2022Article
- Development of Machine Learning Models Predicting Estimated Blood Loss during Liver Transplant Surgery.Journal of personalized medicine · 2022Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.