Evidence map›Paper›PMID 22679603›Full record

ArticleIMA fungus2011

Molecular techniques for pathogen identification and fungus detection in the environment.

Clement K M Tsui, James Woodhall, Wen Chen, C André Lévesque, Anna Lau, Cor D Schoen, Christiane Baschien, Mohammad J Najafzadeh, G Sybren de Hoog

Abstract read
In one paragraph

Article in IMA fungus, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–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

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Combating Two Major Fungal Diseases in Marigold (Pathogens (Basel, Switzerland) · 2026
    Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Journal of fungi (Basel, Switzerland) · 2021
    Review
  14. Article
  15. Review
  16. Environmental Screening ofJournal of fungi (Basel, Switzerland) · 2020
    Article
  17. Review
  18. Article
  19. Review
  20. Recent Advances in Molecular Diagnostics of Fungal Plant Pathogens: A Mini Review.Frontiers in cellular and infection microbiology · 2020
    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

9 authors.

Clement K M TsuiDepartment of Forest Sciences, The University of British Columbia, Vancouver, BC, V6T 1Z4, Canada;
James Woodhall
Wen Chen
C André Lévesque
Anna Lau
Cor D Schoen
Christiane Baschien
Mohammad J Najafzadeh
G Sybren de Hoog

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many species of fungi can cause disease in plants, animals and humans. Accurate and robust detection and quantification of fungi is essential for diagnosis, modeling and surveillance. Also direct detection of fungi enables a deeper understanding of natural microbial communities, particularly as a great many fungi are difficult or impossible to cultivate. In the last decade, effective amplification platforms, probe development and various quantitative PCR technologies have revolutionized research on fungal detection and identification. Examples of the latest technology in fungal detection and differentiation are discussed here.

Indexed as

FISHLAMPmacroarraymedical mycologymolecular diagnosticsmolecular ecologypadlock probepathogenic fungiplant pathologyrolling circle amplification

Identifiers

PMID22679603
PMCPMC3359816

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.