Evidence map›Paper›PMID 31511977›Full record

ArticleParasitology research2019

Vermamoeba vermiformis in hospital network: a benefit for Aeromonas hydrophila.

Vincent Delafont, Estelle Perraud, Kévin Brunet, Elodie Maisonneuve, Sihem Kaaki, Marie-Hélène Rodier

Abstract read
PubMed Publisher
In one paragraph

Article in Parasitology research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Harnessing black soldier fly (Open veterinary journal · 2024
    Article
  4. Article
  5. Review
  6. 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 at 3 institutions in 1 country.

Vincent DelafontLaboratoire Ecologie et Biologie des Interactions, UMR CNRS 7267, Université de Poitiers, Poitiers, France. vincent.delafont@univ-poitiers.fr.ORCID http://orcid.org/0000-0003-1111-2916
Estelle PerraudLaboratoire Ecologie et Biologie des Interactions, UMR CNRS 7267, Université de Poitiers, Poitiers, France.
Kévin BrunetLaboratoire de Parasitologie et Mycologie, CHU de Poitiers, Poitiers, France.
Elodie MaisonneuveEA BIOS 4691, Université de Reims Champagne-Ardenne, 51097, Reims, France.
Sihem KaakiUnité de pathologie ultrastructurale et expérimentale, Laboratoire d'anatomie et cytologie pathologiques, CHU la Milètrie, Poitiers, France.
Marie-Hélène RodierLaboratoire Ecologie et Biologie des Interactions, UMR CNRS 7267, Université de Poitiers, Poitiers, France.
Centre National de la Recherche Scientifique · FRBiomatériaux et Inflammation en Site Osseux · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aeromonas hydrophila, considered as an emerging pathogen, is increasingly involved in opportunistic human infections. This bacterium, mainly present in aquatic environments, can therefore develop relationships with the free-living amoeba Vermamoeba vermiformis in hospital water networks. We showed in this study that the joint presence of V. vermiformis and A. hydrophila led to an increased bacterial growth in the first 48 h of contact and moreover to the protection of the bacteria in adverse conditions even after 28 days. These results highlight the fact that strategies should be implemented to control the development of FLA in hospital water systems.

Indexed as

Aeromonas hydrophilaAmoebaAntibiosisHospitalsHumansLoboseaWaterWater MicrobiologyWaterAeromonas hydrophilaEnvironmentFree-living amoebaeVermamoeba vermiformisWater

Identifiers

PMID31511977
OpenAlexW2972896159

What OpenQuestion holds

Textmetadata
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.