Evidence map›Paper›PMID 22837320›Full record

ArticleJournal of clinical microbiology2012

Rapid detection and identification of Aspergillus from lower respiratory tract specimens by use of a combined probe-high-resolution melting analysis.

María Alonso, Pilar Escribano, Jesus Guinea, Sandra Recio, Ainhoa Simon, Teresa Peláez, Emilio Bouza, Darío García de Viedma

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. High incidence of invasive fungal infection during acute myeloid leukemia treatment in a resource-limited country: clinical risk factors and treatment outcomes.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2019
    Article
  4. Article
  5. Article
  6. Molecular Diagnostic Testing for Aspergillus.Journal of clinical microbiology · 2016
    Review
  7. 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

8 authors.

María AlonsoServicio de Microbiología y Enfermedades Infecciosas, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Pilar Escribano
Jesus Guinea
Sandra Recio
Ainhoa Simon
Teresa Peláez
Emilio Bouza
Darío García de Viedma

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosis of invasive aspergillosis (IA) requires increasingly rapid molecular methods that enable sensitive detection and discrimination between species. We designed and evaluated a real-time PCR-based method that combined melting temperature (T(m)) calling analysis of a specific probe with high-resolution melting analysis of the full amplicon. The test correctly identified 78 isolates of Aspergillus section Fumigati and non-Fumigati sections of Aspergillus with a limit of detection of 10(2) conidia/ml (10(2) fg/ml). No cross-reactivity with other fungi was found. The assay was further validated on lower respiratory tract specimens containing Aspergillus or not. It successfully identified Aspergillus to section level in 56 of 59 specimens. With culture as the gold standard, our assay shows 100% sensitivity and specificity and constitutes an efficient alternative for identification of Aspergillus in lower respiratory tract samples.

Indexed as

AspergillusCross ReactionsHumansMicrobiological TechniquesMolecular Diagnostic TechniquesMycologyNucleic Acid DenaturationPulmonary AspergillosisReal-Time Polymerase Chain ReactionRespiratory SystemSensitivity and SpecificityTransition Temperature

Identifiers

PMID22837320
PMCPMC3457424

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.