Evidence map›Paper›PMID 31242612›Full record

ArticleInternational journal of molecular sciences2019

Exploring the Hospital Microbiome by High-Resolution 16S rRNA Profiling.

Pabulo H Rampelotto, Aline F R Sereia, Luiz Felipe V de Oliveira, Rogério Margis

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
–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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  20. Contamination of Hospital Surfaces with Bacterial Pathogens under the Current COVID-19 Outbreak.International journal of environmental research and public health · 2021
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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

4 authors.

Pabulo H RampelottoPPGBCM, Center of Biotechnology, Federal University of Rio Grande do Sul, 9500, Porto Alegre, RS 91501-970, Brazil. prampelotto@hcpa.edu.br.
Aline F R SereiaNeoprospecta Microbiome Technologies, 1302, Florianópolis, SC 88057-260, Brazil.
Luiz Felipe V de OliveiraNeoprospecta Microbiome Technologies, 1302, Florianópolis, SC 88057-260, Brazil.ORCID 0000-0003-4535-0621
Rogério MargisPPGBCM, Center of Biotechnology, Federal University of Rio Grande do Sul, 9500, Porto Alegre, RS 91501-970, Brazil. rogerio.margis@ufrgs.br.ORCID 0000-0002-2871-4473

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this work was to analyze and compare the bacterial communities of 663 samples from a Brazilian hospital by using high-throughput sequencing of the 16S rRNA gene. To increase taxonomic profiling and specificity of 16S-based identification, a strict sequence quality filtering process was applied for the accurate identification of clinically relevant bacterial taxa. Our results indicate that the hospital environment is predominantly inhabited by closely related species. A massive dominance of a few taxa in all taxonomic levels down to the genera was observed, where the ten most abundant genera in each facility represented 64.4% of all observed taxa, with a major predominance of

Indexed as

Environmental MicrobiologyHospitalsMetagenomicsBacteriaBiodiversityMicrobiotaModels, TheoreticalRNA, Ribosomal, 16SRNA, Ribosomal, 16S16S rRNAAcinetobacterclinical microbiologyhospital-acquired infectionsmicrobiotanosocomial pathogensPseudomonasStaphylococcus

Identifiers

PMID31242612
PMCPMC6696720

What OpenQuestion holds

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LicenceCC BY
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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.