Evidence map›Paper›PMID 31888282›Full record

ArticleMicroorganisms2019

Introduction of NGS in Environmental Surveillance for Healthcare-Associated Infection Control.

Manola Comar, Maria D'Accolti, Carolina Cason, Irene Soffritti, Giuseppina Campisciano, Luca Lanzoni, Matteo Bisi, Antonella Volta, Sante Mazzacane, Elisabetta Caselli

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2026
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  17. Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2022
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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

10 authors at 3 institutions in 1 country.

Manola ComarInstitute for Maternal and Child Health-IRCCS "Burlo Garofolo", 34137 Trieste, Italy.
Maria D'AccoltiSection of Microbiology, Department of Chemical and Pharmaceutical Sciences, University of Ferrara, 44121 Ferrara, Italy.
Carolina CasonInstitute for Maternal and Child Health-IRCCS "Burlo Garofolo", 34137 Trieste, Italy.
Irene SoffrittiSection of Microbiology, Department of Chemical and Pharmaceutical Sciences, University of Ferrara, 44121 Ferrara, Italy.ORCID 0000-0002-5274-295X
Giuseppina CampiscianoInstitute for Maternal and Child Health-IRCCS "Burlo Garofolo", 34137 Trieste, Italy.ORCID 0000-0002-2307-5537
Luca LanzoniCIAS (Centro ricerche Inquinamento ambienti Alta Sterilità) Research Center, University of Ferrara, 44122 Ferrara, Italy.
Matteo BisiCIAS (Centro ricerche Inquinamento ambienti Alta Sterilità) Research Center, University of Ferrara, 44122 Ferrara, Italy.
Antonella VoltaCIAS (Centro ricerche Inquinamento ambienti Alta Sterilità) Research Center, University of Ferrara, 44122 Ferrara, Italy.
Sante MazzacaneCIAS (Centro ricerche Inquinamento ambienti Alta Sterilità) Research Center, University of Ferrara, 44122 Ferrara, Italy.
Elisabetta CaselliSection of Microbiology, Department of Chemical and Pharmaceutical Sciences, University of Ferrara, 44121 Ferrara, Italy.ORCID 0000-0001-6048-9141
University of Ferrara · ITUniversity of Trieste · ITIRCCS Materno Infantile Burlo Garofolo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hospital environment significantly contributes to the onset of healthcare associated infections (HAIs), representing the most frequent and severe complications related to health care. The monitoring of hospital surfaces is generally addressed by microbial cultural isolation, with some performance limitations. Hence there is need to implement environmental surveillance systems using more effective methods. This study aimed to evaluate next-generation sequencing (NGS) technologies for hospital environment microbiome characterization, in comparison with conventional and molecular methods, in an Italian pediatric hospital. Environmental samples included critical surfaces of randomized rooms, surgical rooms, intensive care units and delivery rooms. The resistome of the contaminating population was also evaluated. NGS, compared to other methods, detected with higher sensitivity the environmental bacteria, and was the only method able to detect even unsearched bacteria. By contrast, however, it did not detect mycetes, nor it could distinguish viable from dead bacteria. Microbiological and PCR methods could identify and quantify mycetes, in addition to bacteria, and PCR could define the population resistome. These data suggest that NGS could be an effective method for hospital environment monitoring, especially if flanked by PCR for species identification and resistome characterization, providing a potential tool for the control of HAI transmission.

Indexed as

antimicrobial resistancecontaminationhealthcare-associated infectionsmolecular methodsnext generation sequencing

Identifiers

PMID31888282
PMCPMC6956231
OpenAlexW2996686639

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.