Evidence map›Paper›PMID 31788235›Full record

ArticleAntimicrobial resistance and infection control2019

Development of a reference data set for assigning

Maja Kosecka-Strojek, Artur J Sabat, Viktoria Akkerboom, Anna M D Mirjam Kooistra-Smid, Jacek Miedzobrodzki, Alexander W Friedrich

Abstract read
In one paragraph

Article in Antimicrobial resistance and infection control, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Species Identification and Antimicrobial Resistance ofAnimals : an open access journal from MDPI · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Analysis of the gut microbiome in dogs and cats.Veterinary clinical pathology · 2022
    Review
  9. Article
  10. Identification of Clinically RelevantPathogens (Basel, Switzerland) · 2020
    Article
  11. Review
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.

Maja Kosecka-Strojek1Department of Microbiology, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Krakow, Poland.
Artur J Sabat2Department of Medical Microbiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Viktoria Akkerboom2Department of Medical Microbiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Anna M D Mirjam Kooistra-Smid2Department of Medical Microbiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Jacek Miedzobrodzki1Department of Microbiology, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Krakow, Poland.
Alexander W Friedrich2Department of Medical Microbiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0003-4881-038X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Many members of Methods: Thirty two strains recovered from clinical samples and 19 reference strains representing 42 streptococcal species and nine enterococcal species were subjected to bacterial identification by four Sanger-based sequencing methods targeting the genes encoding (i) 16S rRNA, (ii) Results: This study allowed obtainment and deposition of reference sequences of the 16S-23S rRNA region for 15 streptococcal and 3 enterococcal species followed by enrichment for 27 and 6 species, respectively, for which reference sequences were available in the databases. For Conclusions: Based on the developed reference dataset, clinically relevant streptococcal and enterococcal species can now be reliably identified by 16S-23S rRNA sequences in samples. This study will be useful for introduction of a novel diagnostic tool, NGS of the 16S-23S rRNA region, which undoubtedly is an improvement for reliable culture-independent species identification directly from polymicrobially constituted clinical samples.

Indexed as

RNA, Ribosomal, 16SRNA, Ribosomal, 23SBacterial Typing TechniquesDNA, Ribosomal SpacerEnterococcusGenes, BacterialGram-Positive Bacterial InfectionsHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNAStreptococcusDNA, Ribosomal SpacerRNA, Ribosomal, 16SRNA, Ribosomal, 23S16S–23S rRNA regionDiagnosticsEnterococcusGenetic identificationNGSStreptococcus

Identifiers

PMID31788235
PMCPMC6858756

What OpenQuestion holds

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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.