Evidence map›Paper›PMID 18976571›Full record

ArticleEmerging infectious diseases2008

Metagenomic diagnosis of bacterial infections.

Shota Nakamura, Norihiro Maeda, Ionut Mihai Miron, Myonsun Yoh, Kaori Izutsu, Chidoh Kataoka, Takeshi Honda, Teruo Yasunaga, Takaaki Nakaya, Jun Kawai and 3 more

Abstract readEvaluation Study
In one paragraph

Article in Emerging infectious diseases, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 citing papers in PubMed.

  1. Article
  2. Article
  3. Rapid and sensitive isolation ofMicrobiology spectrum · 2025
    Article
  4. Article
  5. Defining a metagenomic threshold for detecting low abundances ofFrontiers in cellular and infection microbiology · 2024
    Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Understanding and interpreting community sequencing measurements of the vaginal microbiome.BJOG : an international journal of obstetrics and gynaecology · 2020
    Review
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Evaluating next-generation sequencing for direct clinical diagnostics in diarrhoeal disease.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2017
    Article
  18. Article
  19. Article
  20. 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

13 authors.

Shota NakamuraInternational Research Center for Infectious Diseases, Research Institute for Microbial Diseases, Osaka University, Suita, Japan.
Norihiro Maeda
Ionut Mihai Miron
Myonsun Yoh
Kaori Izutsu
Chidoh Kataoka
Takeshi Honda
Teruo Yasunaga
Takaaki Nakaya
Jun Kawai
Yoshihide Hayashizaki
Toshihiro Horii
Tetsuya Iida

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To test the ability of high-throughput DNA sequencing to detect bacterial pathogens, we used it on DNA from a patient's feces during and after diarrheal illness. Sequences showing best matches for Campylobacter jejuni were detected only in the illness sample. Various bacteria may be detectable with this metagenomic approach.

Indexed as

AdultBacteriaBacterial InfectionsBacterial Typing TechniquesCampylobacter InfectionsCampylobacter jejuniDiagnosis, DifferentialDiarrheaDNA, BacterialFecesHumansMaleReagent Kits, DiagnosticSensitivity and SpecificitySequence Analysis, DNADNA, BacterialReagent Kits, Diagnostic

Identifiers

PMID18976571
PMCPMC2630750

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.