Evidence map›Paper›PMID 42506354›Full record

ReviewMedical sciences (Basel, Switzerland)2026

Role of Thromboelastometry in Sepsis-Induced Coagulopathy: A Narrative Review.

Andrzej Lubiewski, Mariusz Siemiński

Abstract readReview
In one paragraph

Review in Medical sciences (Basel, Switzerland), 2026. 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
–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

0 citing papers in PubMed.

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

2 authors.

Andrzej LubiewskiDepartment of Emergency Medicine, Medical University of Gdansk, 80-210 Gdansk, Poland.ORCID 0009-0002-4344-9978
Mariusz SiemińskiDepartment of Emergency Medicine, Medical University of Gdansk, 80-210 Gdansk, Poland.ORCID 0000-0001-8219-2912

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis-induced coagulopathy (SIC) represents an early, predominantly prothrombotic disturbance that is difficult to detect using conventional coagulation tests. This review aims to evaluate whether rotational thromboelastometry (ROTEM) provides added value in the diagnosis and phenotyping of SIC compared with standard laboratory parameters. We summarize current evidence on SIC pathophysiology and its relationship to disseminated intravascular coagulation (DIC), with particular focus on mechanisms driving hypercoagulability and fibrinolytic shutdown. The limitations of routine tests, platelet count, PT/INR, fibrinogen, and fibrin-related markers are examined, especially their inability to capture early dynamic changes in coagulation. We then outline the principles of ROTEM and review clinical studies assessing its application in sepsis. Available data consistently demonstrate increased clot firmness, frequently driven by elevated fibrinogen, along with impaired fibrinolysis. These patterns often precede overt SIC or DIC and are associated with worse clinical outcomes, including organ dysfunction and mortality. Finally, we discuss the implications of these findings for clinical management. While routine anticoagulation in unselected septic patients remains unsupported, integrating SIC criteria with ROTEM profiles may improve risk stratification and help identify prothrombotic phenotypes that could benefit from targeted therapies. Overall, ROTEM appears to be a valuable adjunct to conventional testing, with potential to refine diagnostic accuracy and guide future interventional strategies in septic coagulopathy.

Indexed as

Blood Coagulation DisordersDisseminated Intravascular CoagulationSepsisThrombelastographyFibrinolysisHumansdisseminated intravascular coagulation (DIC)fibrinolysis shutdownimmunothrombosisrotational thromboelastometry (ROTEM)sepsissepsis-induced coagulopathy (SIC)

Identifiers

PMID42506354
PMCPMC13413929

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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.