Evidence map›Paper›PMID 29946267›Full record

ArticleFrontiers in physiology2018

Cellular Mechanisms of Myocardial Depression in Porcine Septic Shock.

Dagmar Jarkovska, Michaela Markova, Jan Horak, Lukas Nalos, Jan Benes, Mahmoud Al-Obeidallah, Zdenek Tuma, Jitka Sviglerova, Jitka Kuncova, Martin Matejovic and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 26 citations in OpenAlex.

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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

11 authors at 1 institution in 1 country.

Dagmar JarkovskaDepartment of Physiology, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czechia.
Michaela MarkovaDepartment of Physiology, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czechia.
Jan HorakBiomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czechia.
Lukas NalosDepartment of Physiology, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czechia.
Jan BenesBiomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czechia.
Mahmoud Al-ObeidallahDepartment of Physiology, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czechia.
Zdenek TumaBiomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czechia.
Jitka SviglerovaDepartment of Physiology, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czechia.
Jitka KuncovaDepartment of Physiology, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czechia.
Martin MatejovicBiomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czechia.
Milan StenglDepartment of Physiology, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czechia.
Charles University · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The complex pathogenesis of sepsis and septic shock involves myocardial depression, the pathophysiology of which, however, remains unclear. In this study, cellular mechanisms of myocardial depression were addressed in a clinically relevant, large animal (porcine) model of sepsis and septic shock. Sepsis was induced by fecal peritonitis in eight anesthetized, mechanically ventilated, and instrumented pigs of both sexes and continued for 24 h. In eight control pigs, an identical experiment but without sepsis induction was performed.

Indexed as

calciummitochondriamyocardial depressionpigsepsis

Identifiers

PMID29946267
PMCPMC6005898
OpenAlexW2808513450

What OpenQuestion holds

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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.