Evidence map›Paper›PMID 28285331›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2017

Evaluating next-generation sequencing for direct clinical diagnostics in diarrhoeal disease.

K G Joensen, A L Ø Engsbro, O Lukjancenko, R S Kaas, O Lund, H Westh, F M Aarestrup

Erratum issuedAbstract readEvaluation Study
In one paragraph

Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

K G JoensenNational Food Institute, Division for Epidemiology and Microbial Genomics, Technical University of Denmark, Søltofts Plads, Building 221, 2800, Kgs. Lyngby, Denmark.
A L Ø EngsbroDepartment of Clinical Microbiology, Hvidovre University Hospital, Copenhagen, Denmark.
O LukjancenkoNational Food Institute, Division for Epidemiology and Microbial Genomics, Technical University of Denmark, Søltofts Plads, Building 221, 2800, Kgs. Lyngby, Denmark.
R S KaasNational Food Institute, Division for Epidemiology and Microbial Genomics, Technical University of Denmark, Søltofts Plads, Building 221, 2800, Kgs. Lyngby, Denmark.
O LundCenter for Biological Sequence Analysis, Department of System Biology, Technical University of Denmark, Kgs. Lyngby, Denmark.
H WesthDepartment of Clinical Microbiology, Hvidovre University Hospital, Copenhagen, Denmark.
F M AarestrupNational Food Institute, Division for Epidemiology and Microbial Genomics, Technical University of Denmark, Søltofts Plads, Building 221, 2800, Kgs. Lyngby, Denmark. fmaa@food.dtu.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accurate microbiological diagnosis of diarrhoea involves numerous laboratory tests and, often, the pathogen is not identified in time to guide clinical management. With next-generation sequencing (NGS) becoming cheaper, it has huge potential in routine diagnostics. The aim of this study was to evaluate the potential of NGS-based diagnostics through direct sequencing of faecal samples. Fifty-eight clinical faecal samples were obtained from patients with diarrhoea as part of the routine diagnostics at Hvidovre University Hospital, Denmark. Ten samples from healthy individuals were also included. DNA was extracted from faecal samples and sequenced on the Illumina MiSeq system. Species distribution was determined with MGmapper and NGS-based diagnostic prediction was performed based on the relative abundance of pathogenic bacteria and Giardia and detection of pathogen-specific virulence genes. NGS-based diagnostic results were compared to conventional findings for 55 of the diarrhoeal samples; 38 conventionally positive for bacterial pathogens, two positive for Giardia, four positive for virus and 11 conventionally negative. The NGS-based approach enabled detection of the same bacterial pathogens as the classical approach in 34 of the 38 conventionally positive bacterial samples and predicted the responsible pathogens in five of the 11 conventionally negative samples. Overall, the NGS-based approach enabled pathogen detection comparable to conventional diagnostics and the approach has potential to be extended for the detection of all pathogens. At present, however, this approach is too expensive and time-consuming for routine diagnostics.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolDenmarkDiarrheaFecesFemaleHigh-Throughput Nucleotide SequencingHospitals, UniversityHumansInfantInfant, NewbornMale

Identifiers

PMID28285331
PMCPMC5495851

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.