Evidence map›Paper›PMID 22580756›Full record

ArticleMycopathologia2012

Significance of molecular identification and antifungal susceptibility of clinically significant yeasts and moulds in a global antifungal surveillance programme.

Michael A Pfaller, Leah N Woosley, Shawn A Messer, Ronald N Jones, Mariana Castanheira

Registry-linked trialAbstract read
PubMed Publisher
In one paragraph

Article in Mycopathologia, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06969703 (Azole Susceptibility and Resistance Mechanisms Surveys in Pathogenic Fungi by the China Antifungal Resistance Surveillance Trial), which is not on this map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 3% 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.

NCT06969703 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Azole Susceptibility and Resistance Mechanisms Surveys in Pathogenic Fungi by the China Antifungal Resistance Surveillance Trial (CARST)-Fungi (2023-2024)

TypeobservationalSponsorPeking University First HospitalRan2025 to 2025Enrolled30ConditionsFungal Disease
3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Activity of Rezafungin Against Echinocandin Non-wild typeOpen forum infectious diseases · 2025
    Article
  5. Evaluation of the Activity of Triazoles Against Non-Open forum infectious diseases · 2024
    Article
  6. Recent increase inAntimicrobial agents and chemotherapy · 2024
    Article
  7. Trends in the activity of mold-active azole agents againstJournal of clinical microbiology · 2024
    Article
  8. Antimicrobial agents and chemotherapy · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Antimicrobial agents and chemotherapy · 2019
    Article
  20. Article
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

5 authors at 1 institution in 1 country.

Michael A PfallerJMI Laboratories, 345 Beaver Kreek Centre, Suite A, North Liberty, IA 52317, USA. michael-pfaller@jmilabs.com
Leah N Woosley
Shawn A Messer
Ronald N Jones
Mariana Castanheira
JMI Laboratories · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing diversity of opportunistic fungi causing serious invasive fungal infections (IFI) has been documented. Accurate identification (ID) is important in guiding therapy, determining prognosis for IFIs and in epidemiological surveys. We assessed the utility of PCR-based methods for the ID of yeasts and moulds that either were uncommon, failed conventional ID, or represented unusual biochemical or phenotypic profiles of common species. Among 1,790 viable fungal clinical isolates received during the SENTRY Program in 2010, 322 strains from 40 study sites had ID confirmed by molecular methods. Isolates were previously identified in participant institutions. Yeasts that were not confirmed by morphology on CHROMagar, growth at 45 °C (Candida albicans/dubliniensis), or assimilation of trehalose (C. glabrata) as well as non-Candida yeasts and all moulds were amplified and sequenced using primers amplifying one or more of the following genes: ITS, 28S, β-tubulin (Aspergillus spp.), TEF (Fusarium spp.), IGS (Trichosporon spp.). The isolates selected for molecular ID included 149 isolates of Candida species, 77 of Aspergillus species, 73 non-Candida yeasts, and 23 other moulds (a total of 41 different species). Overall, the ID determined by the submitting site was confirmed for 189 isolates (58.7 %): Aspergillus spp. (64.1 % correct); Candida spp. (60.1 % correct); non-Candida yeasts (58.9 % correct); non-Aspergillus moulds (30.4 % correct). Species with high levels of concordance between conventional and molecular ID included A. fumigatus (95.0  %), C. lusitaniae (100 %), C. dubliniensis (92.3 %), C. kefyr (100 %), and C. neoformans (90.2 %). Only 50.0 % of isolates of C. albicans and 59.1 % of C. glabrata selected due to unusual phenotypic or biochemical features were found to be correctly identified by the submitting site. Molecular methods for the identification of fungal pathogens are an important adjunct to the conventional identification of many less common clinically relevant yeasts and moulds including species of Candida with unusual or erroneous phenotypic or biochemical profiles. Molecular confirmation of fungal identification is essential in epidemiological surveys such as SENTRY.

Indexed as

Antifungal AgentsFungiHumansMicrobial Sensitivity TestsMycosesSentinel SurveillanceUnited StatesYeastsAntifungal Agents

Identifiers

PMID22580756
OpenAlexW2069678662

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.