Evidence map›Paper›PMID 32214629›Full record

ArticleAerobiologia2015

Identification of airborne bacteria by 16S rDNA sequencing, MALDI-TOF MS and the MIDI microbial identification system.

Else Marie Fykse, Torbjörn Tjärnhage, Tarmo Humppi, Vilde Sørvik Eggen, Andre Ingebretsen, Gunnar Skogan, Göran Olofsson, Pär Wästerby, Per-Åke Gradmark, Anders Larsson and 2 more

Abstract read
In one paragraph

Article in Aerobiologia, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Efficient low-temperature wastewater treatment byFrontiers in microbiology · 2024
    Article
  7. Article
  8. Isolation, identification, and significance of salivaryFrontiers in cellular and infection microbiology · 2023
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. 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.

Else Marie Fykse1Norwegian Defence Research Establishment (FFI), P.O. Box 25, 2027 Kjeller, Norway.
Torbjörn Tjärnhage4Swedish Defence Research Agency (FOI), Umeå, Sweden.
Tarmo HumppiDefence Forces Technical Research Centre, CBRN Defence (PvTT), Lakiala, Finland.
Vilde Sørvik Eggen1Norwegian Defence Research Establishment (FFI), P.O. Box 25, 2027 Kjeller, Norway.
Andre Ingebretsen2Oslo University Hospital (OUS), Rikshospitalet, Oslo, Norway.
Gunnar Skogan1Norwegian Defence Research Establishment (FFI), P.O. Box 25, 2027 Kjeller, Norway.
Göran Olofsson4Swedish Defence Research Agency (FOI), Umeå, Sweden.
Pär Wästerby4Swedish Defence Research Agency (FOI), Umeå, Sweden.
Per-Åke Gradmark4Swedish Defence Research Agency (FOI), Umeå, Sweden.
Anders Larsson4Swedish Defence Research Agency (FOI), Umeå, Sweden.
Marius Dybwad1Norwegian Defence Research Establishment (FFI), P.O. Box 25, 2027 Kjeller, Norway.
Janet Martha Blatny1Norwegian Defence Research Establishment (FFI), P.O. Box 25, 2027 Kjeller, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to collect and identify airborne bacteria in Norway, Sweden and Finland and to compare three different technologies for identifying collected airborne bacterial isolates: the "gold standard" method 16S rDNA sequencing, MALDI-TOF MS using the MALDI Biotyper 2.0 and the MIDI Sherlock

Indexed as

16S rDNA sequencingAirborne bacteriaIdentificationMALDI-TOF MSMIDI MIS analysis

Identifiers

PMID32214629
PMCPMC7087874

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.