Evidence map›Paper›PMID 33446976›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2020

Thromboelastography Profile of Patients with COVID-19 Admitted to Intensive Care Unit: A Single-center Retrospective Study from India.

Sanjith Saseedharan, Vijay B Talla, Annapurna Chiluka

Abstract read
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Observational
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Observational
  8. Thromboelastogram to Detect Hypercoagulability in Critically Ill COVID-19 Patients: Has Its Time Come?Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2020
    Article
  9. 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

3 authors.

Sanjith SaseedharanDepartment of Intensive Care Unit, SL Raheja Hospital, Mumbai, Maharashtra, India.
Vijay B TallaDepartment of Pharmacology, Andhra Medical College, Visakhapatnam, Andhra Pradesh, India.
Annapurna ChilukaDepartment of Intensive Care Unit, SL Raheja Hospital, Mumbai, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease (COVID-19) causes thromboinflammation resulting in a high incidence of venous thromboembolism (VTE) events, which occur in significant numbers despite giving standard thromboprophylaxis with low-molecular-weight heparins. Various markers and tests have been evaluated and found to have a strong association with the worse prognosis of the disease. Common coagulation markers like D-dimer and fibrinogen give more of a static picture of coagulation, whereas viscoelastic tests like thromboelastography (TEG) provide an understanding of the coagulation function and help in better interpretation. We conducted a retrospective analysis of TEG values of 32 patients with COVID-19 admitted to the intensive care unit (ICU). Hypercoagulation as defined by TEG-coagulation index (CI) higher than the upper limit of the normal reference range (NRR) is found in 62.5% of the patients. There is also a clear representation of hypercoagulability as reflected by TEG-R, TEG-K, and TEG-LY30 values lower than or toward the lower limit of NRR, and TEG-ANGLE, TEG-MA, and TEG-CI values higher than or toward the upper limit of NRR which is more pronounced in severe forms of the disease, both in comparison to NRRs and other non-COVID ICU patients. Findings are similar to that of earlier studies in patients with COVID-19 except for the LY30, which is retained in the majority of our patients. Thromboelastography can be a useful tool to understand and screen for COVID-19-related hypercoagulability and may help predict VTE events. The potential of TEG to determine the optimal anticoagulant therapy needs to be evaluated in larger prospective studies.

Indexed as

Coagulation disorderCoronavirus diseaseIntensive care unitThromboelastography

Identifiers

PMID33446976
PMCPMC7775920

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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.