Evidence map›Paper›PMID 26201513›Full record

ArticleBMC infectious diseases2015

Diagnosis of bacteremia in pediatric oncologic patients by in-house real-time PCR.

Milene Gonçalves Quiles, Liana Carballo Menezes, Karen de Castro Bauab, Elke Kreuscher Gumpl, Talita Trevizani Rocchetti, Flavia Silva Palomo, Fabianne Carlesse, Antonio Carlos Campos Pignatari

Abstract readEvaluation Study
In one paragraph

Article in BMC infectious diseases, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Antibacterial and antitumor activities of a lectin-rich preparation fromCurrent research in pharmacology and drug discovery · 2022
    Article
  5. Extended-Spectrum Beta-Lactamases ProducingInfection and drug resistance · 2022
    Review
  6. Article
  7. Article
  8. Bacteremia in Early Infancy: Etiology and Management.Current infectious disease reports · 2016
    Article
  9. 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

8 authors.

Milene Gonçalves QuilesSpecial Laboratory of Clinical Microbiology (LEMC), Federal University of São Paulo/UNIFESP, São Paulo, Brazil. milenequiles@yahoo.com.br.
Liana Carballo MenezesSpecial Laboratory of Clinical Microbiology (LEMC), Federal University of São Paulo/UNIFESP, São Paulo, Brazil. licarballo@ig.com.br.
Karen de Castro BauabSpecial Laboratory of Clinical Microbiology (LEMC), Federal University of São Paulo/UNIFESP, São Paulo, Brazil. karenbauab@yahoo.com.br.
Elke Kreuscher GumplSpecial Laboratory of Clinical Microbiology (LEMC), Federal University of São Paulo/UNIFESP, São Paulo, Brazil. elkekgumpl@hotmail.com.
Talita Trevizani RocchettiSpecial Laboratory of Clinical Microbiology (LEMC), Federal University of São Paulo/UNIFESP, São Paulo, Brazil. talitaunesp@gmail.com.
Flavia Silva PalomoSpecial Laboratory of Clinical Microbiology (LEMC), Federal University of São Paulo/UNIFESP, São Paulo, Brazil. fla_bio@hotmail.com.
Fabianne CarlesseInstitute of Pediatric Oncology IOP-GRAACC, Federal University of São Paulo, São Paulo, Brazil. fabiannecarlesse@graacc.org.br.
Antonio Carlos Campos PignatariSpecial Laboratory of Clinical Microbiology (LEMC), Federal University of São Paulo/UNIFESP, São Paulo, Brazil. pignatari@terra.com.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInfections are the major cause of morbidity and mortality in children with cancer. Gaining a favorable prognosis for these patients depends on selecting the appropriate therapy, which in turn depends on rapid and accurate microbiological diagnosis. This study employed real-time PCR (qPCR) to identify the main pathogens causing bloodstream infection (BSI) in patients treated at the Pediatric Oncology Institute IOP-GRAACC-UNIFESP-Brazil. Antimicrobial resistance genes were also investigated using this methodology.

methodsA total of 248 samples from BACTEC® blood culture bottles and 99 whole-blood samples collected in tubes containing EDTA K2 Gel were isolated from 137 patients. All samples were screened by specific Gram probes for multiplex qPCR. Seventeen sequences were evaluated using gender-specific TaqMan probes and the resistance genes bla SHV, bla TEM, bla CTX, bla KPC, bla IMP, bla SPM, bla VIM, vanA, vanB and mecA were detected using the SYBR Green method.

resultsPositive qPCR results were obtained in 112 of the blood culture bottles (112/124), and 90 % agreement was observed between phenotypic and molecular microbial detection methods. For bacterial and fungal identification, the performance test showed: sensitivity 87 %; specificity 91 %; NPV 90 %; PPV 89 % and accuracy of 89 % when compared with the phenotypic method. The mecA gene was detected in 37 samples, extended-spectrum β-lactamases were detected in six samples and metallo-β-lactamase coding genes in four samples, with 60 % concordance between the two methods. The qPCR on whole blood detected eight samples possessing the mecA gene and one sample harboring the vanB gene. The bla KPC, bla VIM, bla IMP and bla SHV genes were not detected in this study.

conclusionReal-time PCR is a useful tool in the early identification of pathogens and antimicrobial resistance genes from bloodstream infections of pediatric oncologic patients.

Indexed as

Immunocompromised HostAdolescentAdultBacteremiabeta-LactamasesBrazilChildChild, PreschoolFemaleGram-Negative BacteriaGram-Positive BacteriaHumansInfantInfant, NewbornMalePoint-of-Care Systemsbeta-Lactamases

Identifiers

PMID26201513
PMCPMC4512024

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.