Observational studyThe Annals of thoracic surgery2017
Prediction of Transfusions After Isolated Coronary Artery Bypass Grafting Surgical Procedures.
Observational study in The Annals of thoracic surgery, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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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.
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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
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- 2024 EACTS/EACTAIC/EBCP Guidelines on cardiopulmonary bypass in adult cardiac surgery.British journal of anaesthesia · 2025Guideline
- Multicenter external validation of the FW-TRIC score for predicting red blood cell transfusion in on-pump cardiac surgery.Perioperative medicine (London, England) · 2026Article
- 2024 EACTS/EACTAIC/EBCP Guidelines on cardiopulmonary bypass in adult cardiac surgery.Interdisciplinary cardiovascular and thoracic surgery · 2025Article
- 2024 EACTS/EACTAIC/EBCP Guidelines on cardiopulmonary bypass in adult cardiac surgery.European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery · 2025Article
- Determinants of hospital variability in perioperative red blood cell transfusions during coronary artery bypass graft surgery.The Journal of thoracic and cardiovascular surgery · 2022Observational
- Evaluation of Plasma Fibrinogen Levels before and after Coronary Artery Bypass Graft Surgery and Its Association with the Need for Blood Products.Advanced biomedical research · 2022Article
- Risk and Safety Perceptions Contribute to Transfusion Decisions in Coronary Artery Bypass Grafting.The journal of extra-corporeal technology · 2021Article
- Risk factors for prolonged intensive care unit stays in patients after cardiac surgery with cardiopulmonary bypass: A retrospective observational study.International journal of nursing sciences · 2021Article
- Adjusted preoperative variables to predict perioperative red blood cell transfusion in coronary artery bypass grafting.General thoracic and cardiovascular surgery · 2020Article
- 2019 EACTS/EACTA/EBCP guidelines on cardiopulmonary bypass in adult cardiac surgery.Interactive cardiovascular and thoracic surgery · 2020Article
- Does Transfusion of Blood and Blood Products Increase the Length of Stay in Hospital?Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2019Article
- Risk of massive blood product requirement in cardiac surgery: A large retrospective study from 2 heart centers.Medicine · 2019Observational
Corrections and comments
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Authors and funding
12 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundAlthough blood transfusions are common and have been associated with adverse sequelae after cardiac surgical procedures, few contemporaneous models exist to support clinical decision making. This study developed a preoperative clinical decision support tool to predict perioperative red blood cell transfusions in the setting of isolated coronary artery bypass grafting.
methodsWe performed a multicenter, observational study of 20,377 patients undergoing isolated coronary artery bypass grafting among patients at 39 hospitals participating in the Michigan Society of Thoracic and Cardiovascular Surgeons Quality Collaborative's PERFusion measures and outcomes (PERForm) registry between 2011 and 2015. Candidates' preoperative risk factors were identified based on previous work and clinical input. The study population was randomly divided into a 70% development sample and a 30% validation sample. A generalized linear mixed-effect model was developed to predict perioperative red blood cell transfusion. The model's performance was assessed for calibration and discrimination. Sensitivity analysis was performed to assess the robustness of the model in different clinical subgroups.
resultsTransfusions occurred in 36.8% of patients. The final regression model included 16 preoperative variables. The correlation between the observed and expected transfusions was 1.0. The risk prediction model discriminated well (receiver operator characteristic [ROC]
conclusionsOur risk prediction model uses 16 readily obtainable preoperative variables. This model, which provides a patient-specific estimate of the need for transfusion, offers clinicians a guide for decision making and evaluating the effectiveness of blood management strategies.
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Registered trials
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