Evidence map›Paper›PMID 34350003›Full record

ArticleSAGE open medical case reports2021

Thromboelastometry early identifies thrombotic complications related to COVID-19: A case report.

Raíssa Lanna Araújo San Martin, Tomaz Crochemore, Felício Aragão Savioli, Fernanda Oliveira Coelho, Rogério da Hora Passos

Open access · goldAbstract readCase Reports
In one paragraph

Article in SAGE open medical case reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 62% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Raíssa Lanna Araújo San MartinD'Or Institute for Research and Education (IDOR), Hospital São Rafael, Salvador, Bahia, Brazil.ORCID https://orcid.org/0000-0002-1202-5614
Tomaz CrochemoreHospital Leforte, São Paulo, São Paulo, Brazil.
Felício Aragão SavioliHospital Leforte, São Paulo, São Paulo, Brazil.
Fernanda Oliveira CoelhoD'Or Institute for Research and Education (IDOR), Hospital São Rafael, Salvador, Bahia, Brazil.
Rogério da Hora PassosD'Or Institute for Research and Education (IDOR), Hospital São Rafael, Salvador, Bahia, Brazil.
D’Or Institute for Research and Education · BRHospital Leforte · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is a contagious infectious disease, which quickly spreads worldwide, whose clinical presentation includes from mild flu-like symptoms to pneumonia and severe acute respiratory syndrome. The severe presentation of the disease can affect different organs and systems. Coagulopathy has been associated with a worse clinical outcome, with manifestations such as pulmonary embolism and systemic arterial thrombosis. Thromboelastometry has been used to identify hypercoagulability in early stages of disease. We report the case of a 59-year-old woman with COVID-19 infection complicated by pulmonary embolism and acute arterial thrombosis associated with critical lower limb ischemia requiring amputation. This report showed a case of thrombotic complication in patient with infection caused by novel coronavirus 2019 whose thromboelastometry allowed the early identification of hypercoagulability pattern. This is a single case report and the use of thromboelastometry should be further evaluated in large prospective cohort studies.

Indexed as

case reportcoronavirushypercoagulabilityThromboelastometrythrombosis

Identifiers

PMID34350003
PMCPMC8287407
OpenAlexW3111213168

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.