Evidence map›Paper›PMID 28693606›Full record

ArticleCritical care (London, England)2017

Combined use of serum (1,3)-β-D-glucan and procalcitonin for the early differential diagnosis between candidaemia and bacteraemia in intensive care units.

Daniele Roberto Giacobbe, Malgorzata Mikulska, Mario Tumbarello, Elisa Furfaro, Marzia Spadaro, Angela Raffaella Losito, Alessio Mesini, Gennaro De Pascale, Anna Marchese, Marco Bruzzone and 9 more

Open access · goldAbstract read
In one paragraph

Article in Critical care (London, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 2 pooled it
6.9field-weighted citation impact, top 2% 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

40 citing papers in PubMed, 2 syntheses or guidelines pooled it, 87 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Deep Learning for the Early Diagnosis of Candidemia.Infectious diseases and therapy · 2025
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Sensitivity of Serum Beta-D-Glucan in Candidemia According toJournal of fungi (Basel, Switzerland) · 2022
    Article
  18. Article
  19. Diagnosis and Treatment of Invasive Candidiasis.Antibiotics (Basel, Switzerland) · 2022
    Review
  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

19 authors at 2 institutions in 1 country.

Daniele Roberto GiacobbeInfectious Diseases Division, University of Genoa (DISSAL) and Ospedale Policlinico San Martino - IRCCS per l'Oncologia, L.go R. Benzi, 10 - 16132, Genoa, Italy. daniele.roberto.giacobbe@gmail.com.ORCID http://orcid.org/0000-0003-2385-1759
Malgorzata MikulskaInfectious Diseases Division, University of Genoa (DISSAL) and Ospedale Policlinico San Martino - IRCCS per l'Oncologia, L.go R. Benzi, 10 - 16132, Genoa, Italy.
Mario TumbarelloInstitute of Infectious Diseases, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli, Rome, Italy.
Elisa FurfaroInfectious Diseases Division, University of Genoa (DISSAL) and Ospedale Policlinico San Martino - IRCCS per l'Oncologia, L.go R. Benzi, 10 - 16132, Genoa, Italy.
Marzia SpadaroInfectious Diseases Division, University of Genoa (DISSAL) and Ospedale Policlinico San Martino - IRCCS per l'Oncologia, L.go R. Benzi, 10 - 16132, Genoa, Italy.
Angela Raffaella LositoInstitute of Infectious Diseases, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli, Rome, Italy.
Alessio MesiniInfectious Diseases Division, University of Genoa (DISSAL) and Ospedale Policlinico San Martino - IRCCS per l'Oncologia, L.go R. Benzi, 10 - 16132, Genoa, Italy.
Gennaro De PascaleDepartment of Intensive Care and Anesthesiology, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli, Rome, Italy.
Anna MarcheseMicrobiology Unit, University of Genoa (DISC) and Ospedale Policlinico San Martino - IRCCS per l'Oncologia, Genoa, Italy.
Marco BruzzoneClinical Epidemiology Unit, Ospedale Policlinico San Martino - IRCCS per l'Oncologia, Genoa, Italy.
Paolo PelosiAnesthesiology and Intensive Care Unit, DIPEA, Ospedale Policlinico San Martino - IRCCS per l'Oncologia, Genoa, Italy.
Michele MussapDepartment of Bio-medical Laboratory, Ospedale Policlinico San Martino - IRCCS per l'Oncologia, Genoa, Italy.
Alexandre MolinAnesthesiology and Intensive Care Unit, DIPEA, Ospedale Policlinico San Martino - IRCCS per l'Oncologia, Genoa, Italy.
Massimo AntonelliDepartment of Intensive Care and Anesthesiology, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli, Rome, Italy.
Brunella PosteraroInstitute of Public Health (Section of Hygiene), Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli, Rome, Italy.
Maurizio SanguinettiInstitute of Microbiology, Università Cattolica del Sacro Cuore, Fondazione Policlinico Universitario Agostino Gemelli, Rome, Italy.
Claudio ViscoliInfectious Diseases Division, University of Genoa (DISSAL) and Ospedale Policlinico San Martino - IRCCS per l'Oncologia, L.go R. Benzi, 10 - 16132, Genoa, Italy.
Valerio Del BonoInfectious Diseases Division, University of Genoa (DISSAL) and Ospedale Policlinico San Martino - IRCCS per l'Oncologia, L.go R. Benzi, 10 - 16132, Genoa, Italy.
ISGRI-SITA (Italian Study Group on Resistant Infections of the Società Italiana Terapia Antinfettiva)
Università Cattolica del Sacro Cuore · ITOspedale Policlinico San Martino · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to assess the combined performance of serum (1,3)-β-D-glucan (BDG) and procalcitonin (PCT) for the differential diagnosis between candidaemia and bacteraemia in three intensive care units (ICUs) in two large teaching hospitals in Italy.

methodsFrom June 2014 to December 2015, all adult patients admitted to the ICU who had a culture-proven candidaemia or bacteraemia, as well as BDG and PCT measured closely to the time of the index culture, were included in the study. The diagnostic performance of BDG and PCT, used either separately or in combination, was assessed by calculating the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and positive and negative likelihood ratios (LR+ and LR-). Changes from pre-test probabilities to post-test probabilities of candidaemia and bacteraemia were inferred from Fagan's nomograms.

resultsOne hundred and sixty-six patients were included, 73 with candidaemia (44%) and 93 with bacteraemia (56%). When both markers indicated candidaemia (BDG ≥80 pg/ml and PCT <2 ng/ml) they showed higher PPV (96%) compared to 79% and 66% for BDG or PCT alone, respectively. When both markers indicated bacteraemia (BDG <80 pg/ml and PCT ≥2 ng/ml), their NPV for candidaemia was similar to that of BDG used alone (95% vs. 93%). Discordant BDG and PCT results (i.e. one indicating candidaemia and the other bacteraemia) only slightly altered the pre-test probabilities of the two diseases.

conclusionsThe combined use of PCT and BDG could be helpful in the diagnostic workflow for critically ill patients with suspected candidaemia.

Indexed as

AdultAgedBacteremiabeta-GlucansBiomarkersCalcitoninCandidemiaDiagnosis, DifferentialFemaleHumansIntensive Care UnitsItalyMaleMiddle AgedProteoglycansbeta-GlucansBiomarkersCalcitoninpolysaccharide-KProteoglycansBiomarkerBloodstream infectionsBSICandidaCritically ill patientsFungal antigensNon-culture-based methodsSepsis

Identifiers

PMID28693606
PMCPMC5504626
OpenAlexW2732244284

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.