Evidence map›Paper›PMID 27749339›Full record

Observational studyAnesthesia and analgesia2016

Comparison of SEER Sonorheometry With Rotational Thromboelastometry and Laboratory Parameters in Cardiac Surgery.

Julie L Huffmyer, Lucas G Fernandez, Cyrus Haghighian, Abdullah S Terkawi, Danja S Groves

2 registry-linked trialsAbstract readComparative StudyObservational Study
PubMed Publisher
In one paragraph

Observational study in Anesthesia and analgesia, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
1 · What the graph read from it

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.

2 · The registry

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.

NCT03902275 naterminatednot on this mapstarted 2019, after this paper: background citation

Validation of a Quantra Supported Hemotherapy Algorithm in Cardiac Surgery

TypeinterventionalSponsorJohann Wolfgang Goethe University HospitalRan2019 to 2020Enrolled20ConditionsHemorrhage, BleedingArmsQuantra-Algorithm, ROTEM-Algorithm
NCT07105904 completednot on this mapstarted 2025, after this paper: background citation

Biological and Clinical Relevance of Quantra Viscoelastic Hemostatic Assay in Hemorrhagic Cardiac Surgery: a Prospective Observational Study

Typeobservational_patient_registrySponsorPitié-Salpêtrière HospitalRan2025 to 2026Enrolled600ConditionsHemorrhage, Cardiac Surgery, Hemorrhagic ShockArmsViscoelastometric hemostatic assay
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
  2. Baseline values for QuantraBMC pregnancy and childbirth · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Julie L HuffmyerFrom the *University of Virginia, Charlottesville, Virginia; †University of Toledo College of Medicine, Toledo, Ohio.
Lucas G Fernandez
Cyrus Haghighian
Abdullah S Terkawi
Danja S Groves
University of Virginia · USUniversity of Toledo · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Quantra Hemostasis Analyzer is a novel diagnostic device that uses an ultrasound-based technology, sonic estimation of elasticity via resonance (SEER) sonorheometry, to characterize the dynamic changes in viscoelastic properties of a blood sample during coagulation. Cardiac surgery utilizing cardiopulmonary bypass (CPB) is associated with a significant impact on the coagulation system and can result in perioperative coagulopathy. The aim of this study was to correlate SEER sonorheometry results to corresponding rotational thromboelastometry (ROTEM) and laboratory parameters obtained before, during, and after CPB.

methodsThe Quantra uses a multiwell cartridge that performs 4 independent measurements with different combination of reagents. The output test results include Clot Time, Clot Stiffness, Fibrinogen and Platelet Contribution, Clot Time Ratio, and Heparinase Clot Time. Clot Time was compared with ROTEM INTEM clotting time and the adjusted partial thromboplastin time. Clot Stiffness was compared with ROTEM EXTEM. The Fibrinogen Contribution to the Clot Stiffness was correlated to ROTEM FIBTEM as well as fibrinogen concentration by the Clauss method. The Platelet Contribution to Clot Stiffness was compared with absolute platelet count and ROTEM-determined clot elasticity attributable to platelets.

resultsFifty-five patients undergoing elective cardiac surgery were enrolled in this prospective observational study. Clot Time exhibited good correlation with ROTEM INTEM clotting time (pre-CPB r = 0.84, post-CPB r = 0.65) and adjusted partial thromboplastin time (pre-CPB r = 0.72, post-CPB r = 0.89); however, the majority of values were within a narrow normal range. Clot Stiffness exhibited significant correlation with ROTEM EXTEM A10 throughout the course of the study in all samples (r = 0.84). Fibrinogen Contribution correlated strongly with FIBTEM A10 (r = 0.85), and moderately with the fibrinogen concentration (r = 0.73) determined with the Clauss assay. The Platelet Contribution to Clot Stiffness showed moderate correlation to absolute platelet counts (r = 0.48). However, the correlation between Platelet Contribution and ROTEM-determined clot elasticity attributable to platelets was stronger (r = 0.78) than platelet number. All of the correlation coefficients were statistically significant with P < .001.

conclusionsSEER sonorheometry demonstrates significant correlation with ROTEM for determining Clot Stiffness and assessing Fibrinogen Contribution. SEER sonorheometry results can provide valuable information about the coagulation status in patients undergoing cardiac surgery using CPB.

Indexed as

Blood CoagulationBlood Loss, SurgicalThrombelastographyAdultAgedAged, 80 and overBlood ViscosityCardiac Surgical ProceduresCardiopulmonary BypassElasticityFemaleFibrinogenHemorheologyHumansLinear ModelsMaleFibrinogen

Identifiers

PMID27749339
OpenAlexW2530516863

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.