Evidence map›Paper›PMID 17135442›Full record

ArticleJournal of clinical microbiology2007

Discovering potential pathogens among fungi identified as nonsporulating molds.

June I Pounder, Keith E Simmon, Claudia A Barton, Sheri L Hohmann, Mary E Brandt, Cathy A Petti

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.4field-weighted citation impact, top 21% of its field
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

24 citing papers in PubMed, 70 citations in OpenAlex.

  1. Article
  2. InhaledRespirology case reports · 2026
    Article
  3. Cutaneous Alternariosis Caused byJournal of fungi (Basel, Switzerland) · 2025
    Article
  4. Article
  5. Emerging microbes & infections · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Filamentous Basidiomycetes in the Clinical Laboratory.Current fungal infection reports · 2013
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Molecular methods for pathogen and microbial community detection and characterization: current and potential application in diagnostic microbiology.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2012
    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 at 3 institutions in 1 country.

June I PounderAssociated Regional and University Pathologists, Inc., Institute for Clinical and Experimental Pathology, Salt Lake City, UT 84108, USA. june.pounder@aruplab.com
Keith E Simmon
Claudia A Barton
Sheri L Hohmann
Mary E Brandt
Cathy A Petti
University Pathologists · USCenters for Disease Control and Prevention · USUniversity of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fungal infections are increasing, particularly among immunocompromised hosts, and a rapid diagnosis is essential to initiate antifungal therapy. Often fungi cannot be identified by conventional methods and are classified as nonsporulating molds (NSM). We sequenced internal transcribed spacer regions from 50 cultures of NSM and found 16 potential pathogens that can be associated with clinical disease. In selected clinical settings, identification of NSM could prove valuable and have an immediate impact on patient management.

Indexed as

DNA, FungalDNA, Ribosomal SpacerFungiHumansImmunocompromised HostMycological Typing TechniquesMycosesPolymerase Chain ReactionSequence Analysis, DNADNA, FungalDNA, Ribosomal Spacer

Identifiers

PMID17135442
PMCPMC1829023
OpenAlexW2041518745

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.