Evidence map›Paper›PMID 36325465›Full record

ArticleFrontiers in cellular and infection microbiology2022

Interspecies relationships between nosocomial pathogens associated to preterm infants and lactic acid bacteria in dual-species biofilms.

Josué Jara, Rubén Jurado, Víctor G Almendro-Vedia, Iván López-Montero, Leonides Fernández, Juan Miguel Rodríguez, Belén Orgaz

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

Article in Frontiers in cellular and infection microbiology, 2022. 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
0.6field-weighted citation impact, top 31% 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. Article
  2. Article
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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

7 authors at 1 institution in 1 country.

Josué JaraDepartamento de Nutrición y Ciencia de los Alimentos, Facultad de Veterinaria, Universidad Complutense de Madrid, Madrid, Spain.
Rubén JuradoDepartamento de Farmacia Galénica y Tecnología de los Alimentos, Facultad de Veterinaria, Universidad Complutense de Madrid, Madrid, Spain.
Víctor G Almendro-VediaDepartamento de Farmacia Galénica y Tecnología de los Alimentos, Facultad de Veterinaria, Universidad Complutense de Madrid, Madrid, Spain.
Iván López-MonteroDepartamento de Química Física, Facultad de Químicas, Universidad Complutense de Madrid, Madrid, Spain.
Leonides FernándezDepartamento de Farmacia Galénica y Tecnología de los Alimentos, Facultad de Veterinaria, Universidad Complutense de Madrid, Madrid, Spain.
Juan Miguel RodríguezDepartamento de Nutrición y Ciencia de los Alimentos, Facultad de Veterinaria, Universidad Complutense de Madrid, Madrid, Spain.
Belén OrgazDepartamento de Farmacia Galénica y Tecnología de los Alimentos, Facultad de Veterinaria, Universidad Complutense de Madrid, Madrid, Spain.
Universidad Complutense de Madrid · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The nasogastric enteral feeding tubes (NEFTs) used to feed preterm infants are commonly colonized by bacteria with the ability to form complex biofilms in their inner surfaces. Among them, staphylococci (mainly

Indexed as

Cross InfectionLactobacillalesStaphylococcal InfectionsBiofilmsEnterobacteriaceaeHumansInfant, NewbornInfant, PrematureKlebsiella pneumoniaeSerratia marcescensStaphylococcus aureusStaphylococcus epidermidisbiofilmsklebsiella pneumoniaelactic acid bacterianasogastric enteral feeding tubespreterm infantsSerratia marcescensStaphylococcus aureusStaphylococcus epidermidis

Identifiers

PMID36325465
PMCPMC9618709
OpenAlexW4306382215

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.