Evidence map›Paper›PMID 36510196›Full record

ArticleThrombosis journal2022

Haemostasis patterns in patients with acute-on-chronic liver failure and acute decompensation of cirrhosis including thromboelastometric tests with and without the addition of Protac: a pilot study.

Andrea Calvo, Miguel Angel Torrente, Klaus Görlinger, Javier Fernandez, Enric Reverter, Julia Vidal, Dolors Tassies, Jordi Colmenero, Annabel Blasi, Juan Carlos Reverter

Open access · goldAbstract read
In one paragraph

Article in Thrombosis journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 38% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Andrea CalvoAnaesthesiology and Critical Care Department, Hospital Clínic, Institute d'Investigacions Biomédica AgustPi I Sunyer (IDIBAPS), University of Barcelona, Barcelona, Spain.
Miguel Angel TorrenteHaematology Department, Hospital Clínic and University of Barcelona, Barcelona, Spain.
Klaus GörlingerDepartment of Anaesthesiology and Intensive Care Medicine, University Hospital Essen, University Duisburg-Essen, Essen, Germany.
Javier FernandezInstitut d'Investigacions Biomèdiques August Pi-Sunyer (IDIBAPS) Y Ciber de Enfermedades Hepáticas Y Digestivas (CIBEREHD), Liver Unit, Institut de Malalties Digestives I Metabòliques, Hospital Clínic and University of Barcelona, Barcelona, Spain.
Enric ReverterInstitut d'Investigacions Biomèdiques August Pi-Sunyer (IDIBAPS) Y Ciber de Enfermedades Hepáticas Y Digestivas (CIBEREHD), Liver Unit, Institut de Malalties Digestives I Metabòliques, Hospital Clínic and University of Barcelona, Barcelona, Spain.
Julia VidalAnaesthesiology Department, Hospital Clínic, Barcelona, Spain.
Dolors TassiesHaematology Department, Hospital Clínic and University of Barcelona, Barcelona, Spain.
Jordi ColmeneroInstitut d'Investigacions Biomèdiques August Pi-Sunyer (IDIBAPS) Y Ciber de Enfermedades Hepáticas Y Digestivas (CIBEREHD), Liver Unit, Institut de Malalties Digestives I Metabòliques, Hospital Clínic and University of Barcelona, Barcelona, Spain.
Annabel Blasi *Anaesthesiology Department, Hospital Clínic and University of Barcelona, Spain, Institut d'Investigacions Biomèdiques August Pi-Sunyer (IDIBAPS) Y Ciber de Enfermedades Hepáticas Y Digestivas (CIBEREHD), 08036, Barcelona, Spain. ablasi@clinic.cat.
Juan Carlos Reverter *Haematology Department, Hospital Clínic and University of Barcelona, Barcelona, Spain.
Universitat de Barcelona · ESConsorci Institut D'Investigacions Biomediques August Pi I Sunyer · ESHospital Clínic de Barcelona · ESUniversity of Duisburg-Essen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThromboelastometry is considered the best method to assesses hemostasis in liver disease. Diagnostic performance could be improved by adding protein C activators such as thrombomodulin or Protac®. We assessed changes in ROTEM parameters after the addition of Protac® in patients with acute-on-chronic liver failure (ACLF), acute decompensation (AD), and healthy individuals (HI) to define different hemostasis patterns, considering standard and velocity ROTEM parameters, and assess whether Protac® can improve the definition of the pattern.

methodsPre-test, we investigated whether diluted EXTEM reagent improved the effect of Protac® on the clotting time (CT)-ratio with and without Protac®. Ten ACLF and 20 AD patients and 21 HI were included in the main study.

resultsStandard EXTEM was used in the main study. INTEM CFT, INTEM A5 (inverse), and INTEM TPI (inverse) were the parameters that best differentiated liver disease from HI (ROC AUC, 0.921, 0.906, and 0.928, respectively; all P-values < 0.001). Combining INTEM CFT with EXTEM LI60-ratio only slightly improved the diagnostic performance (ROC AUC, 0.948; P < 0.001). EXTEM LI60 and INTEM maxV-t were the parameters that best differentiated between ACLF and AD patients (ROC AUC, 0.743, P = 0.033; and 0.723, P = 0.050; respectively). Combining EXTEM LI60 + INTEM maxV-t moderately improved the diagnostic performance (ROC AUC, 0.81, P < 0.001).

conclusionsROTEM velocity, fibrinolysis parameters and the indices calculated improve the diagnosis in combination with standard parameters (e.g., CFT and A5). Ratios calculated with and without Protac® (e.g., EXTEM LI60-ratio) only slightly increased the diagnostic performance in discriminating hemostasis patterns.

Indexed as

CirrhosisHaemostasisProtacProtein CThromboelastometryThrombomodulin

Identifiers

PMID36510196
PMCPMC9744590
OpenAlexW4311580813

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.