Evidence map›Paper›PMID 34264472›Full record

ReviewJournal of clinical monitoring and computing2022

Questions about COVID-19 associated coagulopathy: possible answers from the viscoelastic tests.

Vittorio Pavoni, Lara Gianesello, Maddalena Pazzi, Pietro Dattolo, Domenico Prisco

Abstract readReview
In one paragraph

Review in Journal of clinical monitoring and computing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Clot Stiffness Measured By Seer Sonorheometry As a Marker Of Poor Prognosis In Hospitalized COVID-19 Patients.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
    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

5 authors.

Vittorio PavoniEmergency Department and Critical Care Area, Anesthesia and Intensive Care Unit, Santa Maria Annunziata Hospital, Bagno a Ripoli, Florence, Italy.
Lara GianeselloDepartment of Anesthesia and Intensive Care, Orthopedic Anesthesia, University-Hospital Careggi, Largo Palagi, 1, 50139, Florence, Italy. gianesello.lara@libero.it.ORCID 0000-0002-2207-1956
Maddalena PazziEmergency Department and Critical Care Area, Anesthesia and Intensive Care Unit, Santa Maria Annunziata Hospital, Bagno a Ripoli, Florence, Italy.
Pietro DattoloNephrology Unit Florence 1, Santa Maria Annunziata Hospital, Bagno a Ripoli, Florence, Italy.
Domenico PriscoDepartment of Experimental and Clinical Medicine, University of Florence, Florence, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abnormal coagulation parameters are often observed in patients with coronavirus disease 2019 (COVID-19) and the severity of derangement has been associated with a poor prognosis. The COVID-19 associated coagulopathy (CAC) displays unique features that include a high risk of developing thromboembolic complications. Viscoelastic tests (VETs), such as thromboelastometry (ROTEM), thromboelastography (TEG) and Quantra Hemostasis Analyzer (Quantra), provide "dynamic" data on clot formation and dissolution; they are used in different critical care settings, both in hemorrhagic and in thrombotic conditions. In patients with severe COVID-19 infection VETs can supply to clinicians more information about the CAC, identifying the presence of hypercoagulable and hypofibrinolysis states. In the last year, many studies have proposed to explain the underlying characteristics of CAC; however, there remain many unanswered questions. We tried to address some of the important queries about CAC through VETs analysis.

Indexed as

Blood Coagulation DisordersCOVID-19HemostasisHumansSARS-CoV-2ThrombelastographyCoagulopathyCOVID-19Thromboembolic eventsViscoelastic tests

Identifiers

PMID34264472
PMCPMC8280589

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.