Evidence map›Paper›PMID 27605710›Full record

ArticleJournal of clinical microbiology2016

Application of Mass Spectrometry Technology to Early Diagnosis of Invasive Fungal Infections.

Alexandre Mery, Boualem Sendid, Nadine François, Marjorie Cornu, Julien Poissy, Yann Guerardel, Daniel Poulain

Open access · hybridAbstract readEvaluation Study
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 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
  2. InvasiveFrontiers in medicine · 2024
    Article
  3. Review
  4. Review
  5. Review
  6. Mass Spectrometry Proteotyping-Based Detection and Identification ofFrontiers in cellular and infection microbiology · 2021
    Article
  7. Article
  8. Review
  9. Blood Aspergillus PCR: The Good, the Bad, and the Ugly.Journal of fungi (Basel, Switzerland) · 2020
    Review
  10. Article
  11. Evaluation of a Novel Mitochondrial Pan-Journal of fungi (Basel, Switzerland) · 2019
    Article
  12. Article
  13. Review of the impact of MALDI-TOF MS in public health and hospital hygiene, 2018.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2019
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. 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

7 authors at 4 institutions in 1 country.

Alexandre MerySATT Nord-de-France, Lille, France.
Boualem SendidCHU Lille, Service de Parasitologie-Mycologie, Lille, France.
Nadine FrançoisCHU Lille, Service de Parasitologie-Mycologie, Lille, France.
Marjorie CornuCHU Lille, Service de Parasitologie-Mycologie, Lille, France.
Julien PoissyUniversité Lille, U995-LIRIC-Lille Inflammation Research International Centre, Lille, France.
Yann GuerardelUniversité Lille, CNRS, UMR 8576-UGSF-Unité de Glycobiologie Structurale et Fonctionnelle, Lille, France.
Daniel PoulainCHU Lille, Service de Parasitologie-Mycologie, Lille, France daniel.poulain@univ-lille2.fr.
Centre Hospitalier Universitaire de Lille · FRCentre National de la Recherche Scientifique · FRInserm · FRUnité de Glycobiologie Structurale et Fonctionnelle · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We recently developed a mass spectrometry (MS) procedure based on the detection of a serum disaccharide (MS-DS) in patients with invasive candidiasis (IC). Here, we compare the performance of MS-DS for the diagnosis of IC, invasive aspergillosis (IA), and mucormycosis (MM) with those of commercially available antigen detection tests. This retrospective study included 48 patients (23 IC patients [74 serum samples], 15 IA patients [40 serum samples], and 10 MM patients [15 serum samples]) and 49 appropriate controls (102 serum samples). MS-DS, mannan (Mnn), galactomannan (GM), and (1,3)-β-d-glucan (BDG) were detected by matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) MS, Platelia, and Fungitell assays, respectively. For IC, the sensitivity and specificity of the MS-DS index, BDG detection, and Mnn detection were 62% and 84%, 82% and 60%, and 33% and 94% per serum sample and 83% and 69%, 96% and 31%, and 39% and 86% per patient, respectively. For IA, the corresponding values in comparison to BDG and GM detection were 83% and 81%, 62% and 95%, and 62% and 100% per serum sample and 93% and 76%, 87% and 90%, and 93% and 100% per patient, respectively. Nine of the 10 MM patients had a positive MS-DS result. MS-DS gave an early diagnosis in IC (73% positivity before blood culture), IA (positive before GM detection in six patients), and MM (positivity mainly preceded the date of diagnosis) patients. For IC, persisting MS-DS was associated with a poor prognosis. The different biomarkers were rarely detected simultaneously, suggesting different kinetics of release and clearance. For IA, MS-DS provided better complementation to GM monitoring than BDG monitoring. MS-DS detects panfungal molecules circulating during invasive fungal infections. The performance of MS-DS compared favorably with those of biological tests currently recommended for monitoring at-risk patients. Further validation of this test in multicenter studies is required.

Indexed as

Early DiagnosisAdultAgedAged, 80 and overFemaleHumansInvasive Fungal InfectionsMaleMicrobiological TechniquesMiddle AgedRetrospective StudiesSensitivity and SpecificitySpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationYoung Adult

Identifiers

PMID27605710
PMCPMC5078558
OpenAlexW2510269283

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.