Evidence map›Paper›PMID 26910891›Full record

ArticleOncotarget2016

(1, 3)-β-D-glucan assay for diagnosing invasive fungal infections in critically ill patients with hematological malignancies.

Elie Azoulay, Nicolas Guigue, Michael Darmon, Djamel Mokart, Virginie Lemiale, Achille Kouatchet, Julien Mayaux, François Vincent, Martine Nyunga, Fabrice Bruneel and 6 more

Abstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 4 pooled it
–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

30 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Guideline
  5. Trial
  6. Trial
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Article
  15. Evaluation of the DynamikerInfectious diseases and therapy · 2022
    Article
  16. Article
  17. Article
  18. Article
  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

16 authors.

Elie AzoulayMedical ICU and Mycology Department, Saint-Louis Hospital, Paris, France.
Nicolas GuigueMedical ICU and Mycology Department, Saint-Louis Hospital, Paris, France.
Michael DarmonMedical-Surgical ICU, Saint-Etienne University Hospital, Saint-Étienne, France.
Djamel MokartMedical-Surgical ICU Paoli Calmette Cancer Institute, Marseille, France.
Virginie LemialeMedical ICU and Mycology Department, Saint-Louis Hospital, Paris, France.
Achille KouatchetMedical ICU, Angers University Hospital, Angers, France.
Julien MayauxMedical ICU CHU Pitié-Salpêtrière, Paris, France.
François VincentMedical-Surgical ICU, Montfermeil Hospital, Montfermeil, France.
Martine NyungaMedical ICU and Mycology Department, Saint-Louis Hospital, Paris, France.
Fabrice BruneelMedical ICU and Mycology Department, Saint-Louis Hospital, Paris, France.
Antoine RabbatMedical ICU and Pulmonary Department, Cochin Hospital, Paris, France.
Stéphane BretagneMedical ICU and Mycology Department, Saint-Louis Hospital, Paris, France.
Christine LebertMedical-Surgical ICU, La Roche Sur Yon Hospital, La Roche Sur Yon, France.
Anne-Pascale MeertMedical-Surgical ICU, Jules Bordet Cancer Institute, Brussels, Belgium.
Dominique BenoitMedical-Surgical ICU, Ghent University Hospital, Gent, Belgium.
Frédéric PeneMedical ICU and Pulmonary Department, Cochin Hospital, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive fungal infections (IFIs) are life-threatening complications of hematological malignancies that must be diagnosed early to allow effective treatment. Few data are available on the performance of serum (1-3)-β-D-glucan (BG) assays for diagnosing IFI in patients with hematological malignancies admitted to the intensive care unit (ICU). In this study, 737 consecutive patients with hematological malignancies admitted to 17 ICUs routinely underwent a BG assay at ICU admission. IFIs were diagnosed using standard criteria applied by three independent specialists. Among the 737 patients, 439 (60%) required mechanical ventilation and 273 (37%) died before hospital discharge. Factors known to alter BG concentrations were identified in most patients. IFIs were documented in 78 (10.6%) patients (invasive pulmonary aspergillosis, n = 54; Pneumocystis jirovecii pneumonia, n = 13; candidemia, n = 13; and fusarium infections, n = 3). BG concentrations (pg/mL) were higher in patients with than without IFI (144 (77-510) vs. 50 (30-125), < 0.0001). With 80 pg/mL as the cutoff, sensitivity was 72%, specificity 65%, and area-under-the-curve 0.74 (0.68-0.79). Assuming a prevalence of 10%, the negative and positive predictive values were 94% and 21%. By multivariable analysis, factors independently associated with BG > 80 pg/mL were IFI, admission SOFA score, autologous bone-marrow or hematopoietic stem-cell transplantation, and microbiologically documented bacterial infection. In conclusion, in unselected critically ill hematology patients with factors known to affect serum BG, this biomarker showed only moderate diagnostic performance and rarely detected IFI. However, the negative predictive value was high. Studies are needed to assess whether a negative BG test indicates that antifungal de-escalation is safe.

Indexed as

Adultbeta-GlucansBiomarkersCritical IllnessFemaleHematologic NeoplasmsHospital MortalityHumansIntensive Care UnitsInvasive Fungal InfectionsLength of StayLogistic ModelsMaleMiddle AgedProteoglycansSensitivity and Specificitybeta-GlucansBiomarkerspolysaccharide-KProteoglycans(1–3)-beta-D-glucan assaydiagnostic testsintensive care unitsinvasive fungal infection

Identifiers

PMID26910891
PMCPMC5008300

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.