Evidence map›Paper›PMID 30764843›Full record

ReviewScandinavian journal of trauma, resuscitation and emergency medicine2019

Sepsis: mechanisms of bacterial injury to the patient.

Hayk Minasyan

Open access · goldAbstract readReview
In one paragraph

Review in Scandinavian journal of trauma, resuscitation and emergency medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed
16.1field-weighted citation impact, top 1% 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

96 citing papers in PubMed, 207 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Infection and drug resistance · 2026
    Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Anti-biofouling organogel and substrate independent coatings with a continuous lubricating network.Chemical engineering journal (Lausanne, Switzerland : 1996) · 2025
    Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Article

36 more citing papers are in PubMed but not listed here.

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

1 author at 1 institution in 1 country.

Hayk Minasyan, Yerevan, Armenia. haykminasyan@rambler.ru.
Armenian State Pedagogical University after Khachatur Abovian · AM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In bacteremia the majority of bacterial species are killed by oxidation on the surface of erythrocytes and digested by local phagocytes in the liver and the spleen. Sepsis-causing bacteria overcome this mechanism of human innate immunity by versatile respiration, production of antioxidant enzymes, hemolysins, exo- and endotoxins, exopolymers and other factors that suppress host defense and provide bacterial survival. Entering the bloodstream in different forms (planktonic, encapsulated, L-form, biofilm fragments), they cause different types of sepsis (fulminant, acute, subacute, chronic, etc.). Sepsis treatment includes antibacterial therapy, support of host vital functions and restore of homeostasis. A bacterium killing is only one of numerous aspects of antibacterial therapy. The latter should inhibit the production of bacterial antioxidant enzymes and hemolysins, neutralize bacterial toxins, modulate bacterial respiration, increase host tolerance to bacterial products, facilitate host bactericidal mechanism and disperse bacterial capsule and biofilm.

Indexed as

Anti-Bacterial AgentsHumansSepsisAnti-Bacterial AgentsAntibacterial therapyAntibioticsBactericidalsBacteriostaticsSepsisTreatment

Identifiers

PMID30764843
PMCPMC6376788
OpenAlexW2939873693

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.