Observational studyClinical cardiology2015
Predicting Bleeding Risk by Platelet Function Testing in Patients Undergoing Heart Surgery.
Observational study in Clinical cardiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 12 citations in OpenAlex.
- The Impact of Antithrombotic Therapy on Bleeding Complications in Percutaneous Liver Biopsy: Are the Withdrawal Criteria of Antithrombotic Agents in Japan Gastroenterological Endoscopy Society Guidelines for Gastroenterological Endoscopy Useful?Diseases (Basel, Switzerland) · 2026Article
- Big data modeling to predict platelet usage and minimize wastage in a tertiary care system.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- CRUSADE Score is Superior to Platelet Function Testing for Prediction of Bleeding in Patients Following Coronary Interventions.EBioMedicine · 2017Article
- Validation of Three Platelet Function Tests for Bleeding Risk Stratification During Dual Antiplatelet Therapy Following Coronary Interventions.Clinical cardiology · 2016Observational
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 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPredicting bleeding events in patients with coronary artery bypass grafting (CABG) represents an unmet medical need that may improve CABG outcomes. HYPOTESIS: To assess the potential link between platelet function testing and bleeding risk in patients undergoing CABG.
methodsPlatelet aggregation and clinical outcomes in 478 patients treated with aspirin and/or clopidogrel were retrospectively analyzed. Platelet activity was assessed prior to CABG with arachidonic acid (ASPI Test), and adenosine diphosphate(ADP Test) utilizing multiple-electrode aggregometry.
resultsIn the study group of 478 patients, mean age was 65.2±15.2 years; 138 were women. The majority of patients (n = 198) underwent on-pump surgery, with 162 undergoing off-pump and 30 undergoing minimally invasive surgery. Forty-eight patients received artificial valve implantation alone, and 40 received valve implantation in combination with CABG. The analysis of the entire pool revealed that an ASPI test value <407 area under curve per minute (AUC*min) may be useful in predicting postoperative drainage. In CABG patients only, an ASPI test value <271 AUC*min predicted the need for red blood cell concentrate transfusion following surgery. In patients who stopped clopidogrel for up to 5 days before surgery, the ADP test failed to exhibit prognostic utility for predicting bleeding risk.
conclusionsIn patients undergoing heart surgery, an ASPI test value <407 AUC*min may predict higher postoperative drainage, whereas <271 AUC*min may be linked to postoperative use of red blood cell concentrate.
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.