Evidence map›Paper›PMID 27629898›Full record

ArticleJournal of clinical microbiology2016

New Panfungal Real-Time PCR Assay for Diagnosis of Invasive Fungal Infections.

Clara Valero, Laura de la Cruz-Villar, Óscar Zaragoza, María José Buitrago

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Recent Advances in Diagnostic Approaches for Mucormycosis.Journal of fungi (Basel, Switzerland) · 2024
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Hepatosplenic mucormycosis due toJournal of the Association of Medical Microbiology and Infectious Disease Canada = Journal officiel de l'Association pour la microbiologie medicale et l'infectiologie Canada · 2023
    Article
  14. Article
  15. Molecular Diagnosis of Endemic Mycoses.Journal of fungi (Basel, Switzerland) · 2022
    Review
  16. Article
  17. Article
  18. Case Report: Novel DisseminatedFrontiers in veterinary science · 2022
    Article
  19. Review
  20. Journal of fungi (Basel, Switzerland) · 2021
    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

4 authors.

Clara ValeroMycology Department, National Centre for Microbiology, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain.
Laura de la Cruz-VillarMycology Department, National Centre for Microbiology, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain.
Óscar ZaragozaMycology Department, National Centre for Microbiology, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain.
María José BuitragoMycology Department, National Centre for Microbiology, Instituto de Salud Carlos III, Majadahonda, Madrid, Spain buitrago@isciii.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The diagnosis of invasive fungal infections (IFIs) is usually based on the isolation of the fungus in culture and histopathological techniques. However, these methods have many limitations often delaying the definitive diagnosis. In recent years, molecular diagnostics methods have emerged as a suitable alternative for IFI diagnosis. When there is not a clear suspicion of the fungus involved in the IFI, panfungal real-time PCR assays have been used, allowing amplification of any fungal DNA. However, this approach requires subsequent amplicon sequencing to identify the fungal species involved, increasing response time. In this work, a new panfungal real-time PCR assay using the combination of an intercalating dye and sequence-specific probes was developed. After DNA amplification, a melting curve analysis was also performed. The technique was standardized by using 11 different fungal species and validated in 60 clinical samples from patients with proven and probable IFI. A melting curve database was constructed by collecting those melting curves obtained from fungal species included in the standardization assay. Results showed high reproducibility (coefficient of variation [CV] < 5%; r > 0.95) and specificity (100%). The overall sensitivity of the technique was 83.3%, with the group of fungi involved in the infection detected in 77.8% of the positive samples with IFIs covered by molecular beacon probes. Moreover, sequencing was avoided in 67.8% of these "probe-positive" results, enabling report of a positive result in 24 h. This technique is fast, sensitive, and specific and promises to be useful for improving early diagnosis of IFIs.

Indexed as

DNA, FungalFungiHumansInvasive Fungal InfectionsMolecular Diagnostic TechniquesReal-Time Polymerase Chain ReactionStaining and LabelingDNA, Fungal

Identifiers

PMID27629898
PMCPMC5121379

What OpenQuestion holds

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Registered trials

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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.