Evidence map›Paper›PMID 23100345›Full record

ArticleJournal of clinical microbiology2013

Molecular characterization of a respiratory syncytial virus outbreak in a hematology unit in Heidelberg, Germany.

Steffen Geis, Christiane Prifert, Benedikt Weissbrich, Nicola Lehners, Gerlinde Egerer, Christoph Eisenbach, Udo Buchholz, Elisabeth Aichinger, Peter Dreger, Kai Neben and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 3 pooled it
4.1field-weighted citation impact, top 6% 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, 3 syntheses or guidelines pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Initial High Viral Load Is Associated with Prolonged Shedding of Human Rhinovirus in Allogeneic Hematopoietic Cell Transplant Recipients.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2018
    Trial
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Multiple Respiratory Syncytial Virus Introductions Into a Neonatal Intensive Care Unit.Journal of the Pediatric Infectious Diseases Society · 2021
    Article
  12. Article
  13. Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2021
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Comparison of respiratory virus shedding by conventional and molecular testing methods in patients with haematological malignancy.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2016
    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

15 authors at 4 institutions in 1 country.

Steffen GeisDepartment of Infectious Diseases, Virology, University of Heidelberg, Heidelberg, Germany.
Christiane Prifert
Benedikt Weissbrich
Nicola Lehners
Gerlinde Egerer
Christoph Eisenbach
Udo Buchholz
Elisabeth Aichinger
Peter Dreger
Kai Neben
Ulrich Burkhardt
Anthony D Ho
Hans-Georg Kräusslich
Klaus Heeg
Paul Schnitzler
Heidelberg University · DEUniversity of Würzburg · DEBaden-Wuerttemberg Cooperative State University · DERobert Koch Institute · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2011 and 2012, a large outbreak of respiratory syncytial virus (RSV) infections affecting 57 laboratory-confirmed patients occurred in an adult hematology unit in Heidelberg, Germany. During the outbreak investigation, we performed molecular genotyping of RSV strains to differentiate between single versus multiple introductions of the virus into the unit. Furthermore, we assessed the time of viral shedding of consecutive samples from the patients in order to better understand the possible impact of prolonged shedding for outbreak control management. We used subtype-specific reverse transcription-PCR on nasopharyngeal and bronchoalveolar specimens for routine diagnostics and for measuring the viral shedding period. Samples of 47 RSV-infected patients involved in the outbreak were genotyped by sequence analysis and compared to samples from RSV-infected hospitalized children representing the timing of the annual RSV epidemic in the community. Molecular investigation of the virus strains from clinical samples revealed a unique cluster with identical nucleotide sequences of RSV type A (RSV A outbreak strain) for 41 patients, while 3 patients were infected with different RSV A (nonoutbreak) strains and three other patients with RSV type B. Outbreak strains were identified in samples from November 2011 until January 2012, while nonoutbreak strains were from samples coinciding with the community epidemic in February and March 2012. Median duration of viral shedding time was 24.5 days (range, 1 to 168 days) with no difference between outbreak and nonoutbreak strains (P = 0.45). Our investigation suggests a single introduction of the RSV A outbreak strain into the unit that spread among the immunocompromised patients. Prolonged viral shedding may have contributed to nosocomial transmission and should be taken into account in the infection control management of RSV outbreaks in settings with heavily immunosuppressed patients.

Indexed as

Disease OutbreaksChildChild, PreschoolCluster AnalysisCross InfectionDNA, ViralFemaleGenotypeGermanyHumansMaleMiddle AgedMolecular EpidemiologyMolecular Sequence DataPhylogenyRespiratory Syncytial Virus, HumanDNA, Viral

Identifiers

PMID23100345
PMCPMC3536189
OpenAlexW2123977075

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.