Evidence map›Paper›PMID 29967855›Full record

ArticleJournal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures)2016

Sepsis-Associated Coagulopathy.

Ecaterina Scarlatescu, Dana Tomescu, Sorin Stefan Arama

Open access · hybridAbstract read
In one paragraph

Article in Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.7field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Compass in COVID-19 Illness: Disseminated Intravascular Coagulation/Sepsis-induced Coagulopathy Scoring in Predicting Severity.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2021
    Article
  11. Review
  12. Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2018
    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 at 2 institutions in 1 country.

Ecaterina ScarlatescuDepartment of Anesthesiology and Intensive Care III, Fundeni Clinical Institute, Bucharest, Romania.
Dana TomescuDepartment of Anesthesiology and Intensive Care III, Fundeni Clinical Institute, Bucharest, Romania.
Sorin Stefan AramaUniversity of Medicine and Pharmacy "Carol Davila", Bucharest, Romania.
Institutul Clinic Fundeni · ROCarol Davila University of Medicine and Pharmacy · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic inflammatory activation in sepsis often leads to coagulation activation, but the relationship is bilateral, as coagulation also modulates the inflammatory response. This close associate has significant consequences for the pathogenesis of microvascular thrombosis and organ dysfunction in sepsis. While coagulation activation can be beneficial for immune defense, it can also be detrimental once it becomes widespread and uncontrolled. The knowledge of the pathophysiologic mechanisms involved in the interaction between infection and coagulation may lead to the better timing for the administration of targeted antithrombotic therapies in septic patients. This brief review highlights the pathophysiologic pathways leading to the prothrombotic state in sepsis and the mechanisms that play a role in the interaction between infection and coagulation.

Indexed as

coagulopathysepsisthrombosis

Identifiers

PMID29967855
PMCPMC5953252
OpenAlexW2553219602

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.