Evidence map›Paper›PMID 36926088›Full record

ArticleFrontiers in network physiology2022

Critical Parameters in Dynamic Network Modeling of Sepsis.

Rico Berner, Jakub Sawicki, Max Thiele, Thomas Löser, Eckehard Schöll

Open access · goldFull text read
In one paragraph

Article in Frontiers in network physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Embracing complexity in sepsis.Critical care (London, England) · 2023
    Review
  9. Article
  10. 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

5 authors at 2 institutions in 2 countries.

Rico BernerInstitut für Physik, Humboldt-Universität zu Berlin, Berlin, Germany.
Jakub SawickiInstitut für Theoretische Physik, Technische Universität Berlin, Berlin, Germany.
Max ThieleInstitut für Theoretische Physik, Technische Universität Berlin, Berlin, Germany.
Thomas LöserInstitut LOESER, Leipzig, Germany.
Eckehard SchöllInstitut für Theoretische Physik, Technische Universität Berlin, Berlin, Germany.
Technische Universität Berlin · DEPotsdam Institute for Climate Impact Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we propose a dynamical systems perspective on the modeling of sepsis and its organ-damaging consequences. We develop a functional two-layer network model for sepsis based upon the interaction of parenchymal cells and immune cells

Indexed as

adaptive networkscluster synchronizationcoupled oscillatorscytokine activitymultiplex networkspattern formationsepsis

Identifiers

PMID36926088
PMCPMC10012967
OpenAlexW4281709142

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read23
table measurements read1
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.