Evidence map›Paper›PMID 29997587›Full record

ArticleFrontiers in microbiology2018

Development of a Computational Model of Abscess Formation.

Alexandre B Pigozzo, Dominique Missiakas, Sergio Alonso, Rodrigo W Dos Santos, Marcelo Lobosco

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. 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 4 institutions in 3 countries.

Alexandre B PigozzoDepartment of Computer Science, Federal University of São João Del-Rei, São João Del-Rei, Brazil.
Dominique MissiakasDepartment of Microbiology, University of Chicago, Chicago, IL, United States.
Sergio AlonsoDepartment of Physics, Universitat Politècnica de Catalunya, Barcelona, Spain.
Rodrigo W Dos SantosGraduate Program in Computational Modeling, Federal University of Juiz de Fora, Juiz de Fora, Brazil.
Marcelo LoboscoGraduate Program in Computational Modeling, Federal University of Juiz de Fora, Juiz de Fora, Brazil.
Universidade Federal de Juiz de Fora · BRFederal University of São João del-Rei · BRUniversitat Politècnica de Catalunya · ESUniversity of Chicago · US

Funding

Molecular basis and intervention of Staphylococcus aureus agglutinationR01AI110937 · NIAID · UNIVERSITY OF CHICAGO · PI MISSIAKAS, DOMINIQUE M. · 2015 to 2019
$1.8M
NIAID NIH HHS R01 AI110937
6 · The paper itself

Abstract

In some bacterial infections, the immune system cannot eliminate the invading pathogen. In these cases, the invading pathogen is successful in establishing a favorable environment to survive and persist in the host organism. For example,

Indexed as

abscess formationcomputational modelingfibrin networkpartial differential equationS. aureus infection

Identifiers

PMID29997587
PMCPMC6029511
OpenAlexW2811442439

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.