Evidence map›Paper›PMID 23190778›Full record

ArticleThe Pediatric infectious disease journal2013

Prospective detection of respiratory pathogens in symptomatic children with cancer.

Ashok Srinivasan, Zhengming Gu, Teresa Smith, Markus Morgenstern, Anusha Sunkara, Guolian Kang, Deo K Srivastava, Aditya H Gaur, Wing Leung, Randall T Hayden

Open access · greenAbstract read
In one paragraph

Article in The Pediatric infectious disease journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 14% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Etiology and Factors Affecting Severe Complications and Mortality of Febrile Neutropenia in Children with Acute LeukemiaTurkish journal of haematology : official journal of Turkish Society of Haematology · 2023
    Article
  6. Review
  7. Article
  8. International journal of clinical practice · 2022
    Review
  9. Viral Respiratory Infections in Hematological Patients.Infectious diseases and therapy · 2020
    Review
  10. Review
  11. Review
  12. The impact analysis of a multiplex PCR respiratory panel for hospitalized pediatric respiratory infections in Japan.Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy · 2020
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Respiratory Viral Infections in Children and Adolescents with Hematological Malignancies.Mediterranean journal of hematology and infectious diseases · 2019
    Article
  18. Article
  19. Article
  20. Review
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

10 authors at 4 institutions in 2 countries.

Ashok SrinivasanDepartment of Bone Marrow Transplantation and Cellular Therapy, St. Jude Children's Research Hospital, Memphis, TN 38105, USA. ashok.srinivasan@stjude.org
Zhengming Gu
Teresa Smith
Markus Morgenstern
Anusha Sunkara
Guolian Kang
Deo K Srivastava
Aditya H Gaur
Wing Leung
Randall T Hayden
Abbott (Sweden) · SECellular Research (United States) · USSt. Jude Children's Research Hospital · USUniversity of Tennessee Health Science Center · US

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI CHARLES ROBERTS · 1985 to 2026
$166.9M
NCI NIH HHS P30 CA021765NCI NIH HHS P30 CA 21765
6 · The paper itself

Abstract

background: The data on human rhinovirus, coronavirus, bocavirus, metapneumovirus, Chlamydophila pneumoniae, Mycoplasma pneumoniae and Bordetella pertussis infections in children with cancer is limited.

methods: We sought to determine prospectively the prevalence of respiratory pathogens in these children, using multiplexed-polymerase chain reaction.

results: We enrolled 253 children with upper or lower respiratory tract infection (LRTI) during a 1-year period. A respiratory virus was detected in 193 (76%) patients; 156 (81%) patients had upper respiratory tract infection. Human rhinovirus was the most common virus detected in 97 (62%) and 24 (65%) patients with upper respiratory tract infection and LRTI, respectively. Leukemia or lymphoma was the most common underlying diagnosis in 95 (49%) patients followed by solid tumor 47 (24%), posthematopoietic stem cell transplant 28 (15%) and brain tumor in 23 (12%) patients. By multiple logistic regression analysis, human bocavirus was the most commonly detected respiratory virus in patients with LRTI (P = 0.008; odds ratio, 4.52; 95% confidence interval: 1.48-13.79). Coinfection with >1 virus was present in 47 (24%) patients, and did not increase the risk for LRTI. Two (0.7%) patients succumbed to LRTI from parainfluenza virus-3 and respiratory syncytial virus/human rhinovirus infection, respectively. C. pneumoniae and M. pneumoniae were detected in 4 and 3 patients, respectively.

conclusions: Human rhinovirus was the most common virus detected in children with cancer and posthematopoietic stem cell transplant hospitalized with an acute respiratory illness, and was not associated with increased morbidity. Prospective studies with viral load determination and asymptomatic controls are needed to study the association of these emerging respiratory viruses with LRTI in children with cancer and posthematopoietic stem cell transplant.

Indexed as

AdolescentBacteriaChildChild, PreschoolFemaleHumansInfantMaleMultiplex Polymerase Chain ReactionNeoplasmsPrevalenceProspective StudiesRespiratory Tract InfectionsViruses

Identifiers

PMID23190778
PMCPMC4725698
OpenAlexW2039156765

What OpenQuestion holds

Textmetadata
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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.