Evidence map›Paper›PMID 31024468›Full record

ArticleFrontiers in microbiology2019

Polymorphisms of a Collagen-Like Adhesin Contributes to

Mena Abdel-Nour, Han Su, Carla Duncan, Shaopei Li, Deepa Raju, Feras Shamoun, Marine Valton, Christophe Ginevra, Sophie Jarraud, Cyril Guyard and 2 more

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

Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. mBio · 2025
    Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. The Role ofFrontiers in microbiology · 2019
    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

12 authors at 3 institutions in 2 countries.

Mena Abdel-NourOntario Agency for Health Protection and Promotion, Toronto, ON, Canada.
Han SuDepartment of Physical & Environmental Sciences, University of Toronto Scarborough, Toronto, ON, Canada.
Carla DuncanOntario Agency for Health Protection and Promotion, Toronto, ON, Canada.
Shaopei LiDepartment of Physical & Environmental Sciences, University of Toronto Scarborough, Toronto, ON, Canada.
Deepa RajuDepartment of Biological Sciences, University of Toronto at Scarborough, Toronto, ON, Canada.
Feras ShamounDepartment of Biological Sciences, University of Toronto at Scarborough, Toronto, ON, Canada.
Marine ValtonOntario Agency for Health Protection and Promotion, Toronto, ON, Canada.
Christophe GinevraCIRI-International Center for Infectiology Research, Legionella Pathogenesis Team, Université de Lyon, Lyon, France.
Sophie JarraudCIRI-International Center for Infectiology Research, Legionella Pathogenesis Team, Université de Lyon, Lyon, France.
Cyril GuyardOntario Agency for Health Protection and Promotion, Toronto, ON, Canada.
Kagan KermanDepartment of Physical & Environmental Sciences, University of Toronto Scarborough, Toronto, ON, Canada.
Mauricio R TerebiznikDepartment of Biological Sciences, University of Toronto at Scarborough, Toronto, ON, Canada.
University of Toronto · CAMount Sinai Hospital · CAUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Legionellosis is a severe respiratory illness caused by the inhalation of aerosolized water droplets contaminated with the opportunistic pathogen

Indexed as

adhesionbiofilmcell–cell adhesionclinical prevalencecollagen-like adhesionLegionella pneumophila

Identifiers

PMID31024468
PMCPMC6460258
OpenAlexW2933399628

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.