Evidence map›Paper›PMID 37719352›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2023

The Effect of Sepsis and Septic Shock on the Viscoelastic Properties of Clot Quality and Mass Using Thromboelastometry: A Prospective Observational Study.

Priyanka Mohapatra, Arvind Kumar, Rakesh Kumar Singh, Ruchi Gupta, Mumtaz Hussain, Swati Singh, Pankaj Kumar

Abstract read
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Categorizing Sepsis-induced Coagulopathy Using Thromboelastography: An Approach to Address the Second Pillar of Patient Blood Management.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Sepsis Induced Coagulopathy: Bringing Science to the Bedside.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2023
    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

7 authors.

Priyanka MohapatraDepartment of Anesthesiology & Critical Care Medicine, Indira Gandhi Institute of Medical Science, Patna, Bihar, India.ORCID https://orcid.org/0000-0002-6213-3779
Arvind KumarDepartment of Anesthesiology & Critical Care Medicine, Indira Gandhi Institute of Medical Science, Patna, Bihar, India.ORCID https://orcid.org/0000-0002-2608-2046
Rakesh Kumar SinghDepartment of Anesthesiology & Critical Care Medicine, Indira Gandhi Institute of Medical Science, Patna, Bihar, India.ORCID https://orcid.org/0000-0001-8324-7487
Ruchi GuptaDepartment of Critical Care, Holy Family Hospital, New Delhi, India.ORCID https://orcid.org/0000-0003-2419-165X
Mumtaz HussainDepartment of Anesthesiology & Critical Care Medicine, Indira Gandhi Institute of Medical Science, Patna, Bihar, India.ORCID https://orcid.org/0000-0001-7159-166X
Swati SinghDepartment of Anesthesiology & Critical Care Medicine, Indira Gandhi Institute of Medical Science, Patna, Bihar, India.ORCID https://orcid.org/0000-0002-8382-5977
Pankaj KumarDepartment of Anesthesiology & Critical Care Medicine, Indira Gandhi Institute of Medical Science, Patna, Bihar, India.ORCID https://orcid.org/0000-0003-1199-2466

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sepsis is associated with wide variable coagulation abnormalities. Thromboelastography (TEG) effectively measures the viscoelastic properties of the clots. This study aims to illustrate the viscoelastic properties of clot quality and mass in sepsis and septic shock patients using TEG, as an effective tool over standard coagulation tests. Materials and methods: A single-center, prospective observational study was conducted. 50 patients each meeting the criteria for sepsis and septic shock, and a healthy group of 30 patients was included in the study. Blood samples were obtained and analyzed for standard coagulation tests, platelet count, fibrinogen, and TEG study. Results: A total of 130 patients were included. Septic shock patients had a higher sequential (sepsis-related) organ failure score. Prothrombin time (PT) and activated partial thromboplastin time (aPTT) were increased significantly as compared to the sepsis and control groups. TEG markers such as alpha angle, and maximum amplitude (MA) were significantly prolonged while reaction time (R time), was significantly shortened in the sepsis group as compared to the healthy group, suggestive of a hypercoagulable state in sepsis patients. While in septic shock patients, MA and Lysis Index 30 (LY 30) were significantly prolonged and, R time was significantly shortened compared to all other groups. Even though LY30 in sepsis patients was found to be within the normal range ( Conclusion: Thromboelastography, as a point-of-care test combined with conventional coagulation tests can provide additional, clinically relevant information on coagulopathy, and outcome, and thus help guide treatment modality in sepsis and septic shock-induced coagulopathy. How to cite this article: Mohapatra P, Kumar A, Singh RK, Gupta R, Hussain M, Singh S,

Indexed as

BiomarkersCoagulation testsCoagulopathyfibrinolysisHypercoagulable stateObservational studies as topicSepsisSeptic shockSeveritySystemic inflammatory response syndrome

Identifiers

PMID37719352
PMCPMC10504658

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Registered trials

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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.