Evidence map›Paper›PMID 21994353›Full record

ArticleClinical and vaccine immunology : CVI2011

Clinical performance of the (1,3)-β-D-glucan assay in early diagnosis of nosocomial Candida bloodstream infections.

Valerio Del Bono, Emanuele Delfino, Elisa Furfaro, Malgorzata Mikulska, Elena Nicco, Paolo Bruzzi, Alessandra Mularoni, Matteo Bassetti, Claudio Viscoli

Open access · diamondAbstract readEvaluation Study
In one paragraph

Article in Clinical and vaccine immunology : CVI, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 4 pooled it
3.0field-weighted citation impact, top 9% 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

29 citing papers in PubMed, 4 syntheses or guidelines pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. Guideline
  5. Evaluating the sensitivity of the Wako β-D-glucan assay for the diagnosis of candidemia caused by Candida parapsilosis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  6. Observational
  7. Deep Learning for the Early Diagnosis of Candidemia.Infectious diseases and therapy · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Clinical Profile of Non-neutropenic Patients with Invasive Candidiasis: A Retrospective Study in a Tertiary Care Center.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2021
    Article
  13. Article
  14. Experience with β-D-Glucan Assay in the Management of Critically ill Patients with High Risk of Invasive Candidiasis: An Observational Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2018
    Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. 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

9 authors at 3 institutions in 1 country.

Valerio Del BonoClinica Malattie Infettive, Azienda Ospedaliera Universitaria San Martino, Largo R. Benzi 10, 16132 Genoa, Italy. valerio.delbono@hsanmartino.it
Emanuele Delfino
Elisa Furfaro
Malgorzata Mikulska
Elena Nicco
Paolo Bruzzi
Alessandra Mularoni
Matteo Bassetti
Claudio Viscoli
Ospedale Policlinico San Martino · ITAlleanza Contro il Cancro · ITOspedale Santa Maria della Misericordia di Udine · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbiological diagnosis of nosocomial candidemia is negatively affected by suboptimal culture yield. Alternative methods are not fully reliable as an aid in candidemia diagnosis. Recently, the detection of (1,3)-β-D-glucan (BG) has been shown to be very promising in this setting. We carried out a prospective study on the clinical usefulness of BG detection in early diagnosis of candidemia. BG detection was performed in patients with fever unresponsive to antibacterial agents and risk factors for candidemia. BG detection was done with the Fungitell test. A total of 152 patients were included in the study; 53 were proven to have candidemia, while in 52 patients candidemia was excluded on microbiological and clinical bases. The remaining 47 patients were considered to have possible candidemia. In summary, 41 of 53 candidemia patients (77.3%), 9 of 52 patients without candidemia (17.3%), and 38 of 47 patients with possible candidemia (80.8%) were positive in the BG assay. With these results, the sensitivity and the specificity of the assay were 77% and 83%, respectively. BG levels of >160 pg/ml were highly predictive of candidemia. In 36 of 41 patients with candidemia and positive BG testing, the BG assay was performed within 48 h from when the first Candida-positive blood sample for culture was drawn, thus allowing a possible earlier start of antifungal therapy. Based on these results, the BG assay may be used as an aid in the diagnosis of nosocomial candidemia. The timing of assay performance is critical for collecting clinically useful information. However, the test results should be associated with clinical data.

Indexed as

Antigens, Fungalbeta-GlucansCandidemiaClinical Laboratory TechniquesCross InfectionEarly DiagnosisHumansImmunoassayProspective StudiesSensitivity and SpecificityAntigens, Fungalbeta-1,3-glucanbeta-Glucans

Identifiers

PMID21994353
PMCPMC3232688
OpenAlexW2128777708

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.