Evidence map›Paper›PMID 37374146›Full record

ReviewLife (Basel, Switzerland)2023

Reviewing Atrial Fibrillation Pathophysiology from a Network Medicine Perspective: The Relevance of Structural Remodeling, Inflammation, and the Immune System.

Ivis Levy Fernandes Martins, Flávia Valéria Dos Santos Almeida, Karyne Pollo de Souza, Fernanda Carla Ferreira de Brito, Gabriel Dias Rodrigues, Christianne Bretas Vieira Scaramello

Abstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

Ivis Levy Fernandes MartinsResearch Nucleus on Plasticity, Epidemiology and In-Silico Studies (NUPPEESI), Fluminense Federal University, Niteroi 24020-141, Rio de Janeiro, Brazil.
Flávia Valéria Dos Santos AlmeidaResearch Nucleus on Plasticity, Epidemiology and In-Silico Studies (NUPPEESI), Fluminense Federal University, Niteroi 24020-141, Rio de Janeiro, Brazil.
Karyne Pollo de SouzaResearch Nucleus on Plasticity, Epidemiology and In-Silico Studies (NUPPEESI), Fluminense Federal University, Niteroi 24020-141, Rio de Janeiro, Brazil.
Fernanda Carla Ferreira de BritoExperimental Pharmacology Lab (LAFE), Fluminense Federal University, Niteroi 24020-141, Rio de Janeiro, Brazil.
Gabriel Dias RodriguesExperimental and Applied Physiology Lab (LAFEA), Fluminense Federal University, Niteroi 24020-141, Rio de Janeiro, Brazil.ORCID 0000-0002-9258-2954
Christianne Bretas Vieira ScaramelloResearch Nucleus on Plasticity, Epidemiology and In-Silico Studies (NUPPEESI), Fluminense Federal University, Niteroi 24020-141, Rio de Janeiro, Brazil.ORCID 0000-0003-0388-2208

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atrial fibrillation (AF) is the most common type of sustained arrhythmia. The numerous gaps concerning the knowledge of its mechanism make improving clinical management difficult. As omics technologies allow more comprehensive insight into biology and disease at a molecular level, bioinformatics encompasses valuable tools for studying systems biology, as well as combining and modeling multi-omics data and networks. Network medicine is a subarea of network biology where disease traits are considered perturbations within the interactome. With this approach, potential disease drivers can be revealed, and the effect of drugs, novel or repurposed, used alone or in combination, may be studied. Thus, this work aims to review AF pathology from a network medicine perspective, helping researchers to comprehend the disease more deeply. Essential concepts involved in network medicine are highlighted, and specific research applying network medicine to study AF is discussed. Additionally, data integration through literature mining and bioinformatics tools, with network building, is exemplified. Together, all of the data show the substantial role of structural remodeling, the immune system, and inflammation in this disease etiology. Despite this, there are still gaps to be filled about AF.

Indexed as

atrial fibrillationbioinformatics analysisimmune cellinflammationnetwork medicinestructural remodelingsystems biology

Identifiers

PMID37374146
PMCPMC10305414

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.