Evidence map›Paper›PMID 15365016›Full record

ArticleJournal of clinical microbiology2004

Use of the minimum spanning tree model for molecular epidemiological investigation of a nosocomial outbreak of hepatitis C virus infection.

Enea Spada, Luciano Sagliocca, John Sourdis, Anna Rosa Garbuglia, Vincenzo Poggi, Carmela De Fusco, Alfonso Mele

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
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  4. A knowledge graph-based method for epidemic contact tracing in public transportation.Transportation research. Part C, Emerging technologies · 2022
    Article
  5. Identification of a canine coronavirus in Australian racing Greyhounds.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2022
    Article
  6. Article
  7. Bayesian reconstruction of transmission trees from genetic sequences and uncertain infection times.Statistical applications in genetics and molecular biology · 2020
    Article
  8. Plants (Basel, Switzerland) · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Distribution and characterization of Shiga toxin converting temperate phages carried by Shigella flexneri in Hispaniola.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2018
    Article
  15. Article
  16. Article
  17. Integrating molecular epidemiology and social network analysis to study infectious diseases: Towards a socio-molecular era for public health.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2016
    Review
  18. Using genomics data to reconstruct transmission trees during disease outbreaks.Revue scientifique et technique (International Office of Epizootics) · 2016
    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

7 authors.

Enea SpadaIstituto Superiore di Sanità, National Center of Epidemiology, Surveillance, and Health Promotion, Clinical Epidemiology Unit, Via. Regina Elena 299, 00161 Rome, Italy. spada@iss.it
Luciano Sagliocca
John Sourdis
Anna Rosa Garbuglia
Vincenzo Poggi
Carmela De Fusco
Alfonso Mele

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The minimum spanning tree (MST) model was applied to identify the history of transmission of hepatitis C virus (HCV) infection in an outbreak involving five children attending a pediatric oncology-hematology outpatient ward between 1992 and 2000. We collected blood samples from all children attending since 1992, all household contacts, and one health care worker positive for antibody to HCV (anti-HCV). HCV RNA detection was performed with these samples and with smears of routinely collected bone marrow samples. For all isolates, we performed sequence analysis and phylogenetic tree analysis of hypervariable region 1 of the E2 gene. The MST model was applied to clinical-epidemiological and molecular data. No additional cases were detected. All children, but not the health care worker, showed genotype 3a. On six occasions, all but one child had shared the medication room with another patient who later seroconverted. HCV RNA detection in bone marrow smears revealed, in some cases, a delay of several months in anti-HCV responses. Sequence analysis and phylogenetic tree analysis revealed a high identity among the isolates. The MST model applied to molecular data, together with the clinical-epidemiological data, allowed us to identify the source of the outbreak and the most probable patient-to-patient chain of transmission. The management of central venous catheters was suspected to be the probable route of transmission. In conclusion, the MST model, supported by an exhaustive clinical-epidemiological investigation, appears to be a useful tool in tracing the history of transmission in outbreaks of HCV infection.

Indexed as

Disease OutbreaksChildCross InfectionFemaleHepacivirusHepatitis CHumansInpatientsItalyMaleModels, TheoreticalMolecular EpidemiologyOutpatientsPhylogenyRNA, ViralRNA, Viral

Identifiers

PMID15365016
PMCPMC516344

What OpenQuestion holds

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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.