Evidence map›Paper›PMID 25631804›Full record

ArticleJournal of clinical microbiology2015

Evaluation of portability and cost of a fluorescent PCR ribotyping protocol for Clostridium difficile epidemiology.

Jonathan N V Martinson, Susan Broadaway, Egan Lohman, Christina Johnson, M Jahangir Alam, Mohammed Khaleduzzaman, Kevin W Garey, Jessica Schlackman, Vincent B Young, Kavitha Santhosh and 3 more

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
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  5. Emergence and Spread of Clostridioides difficile Isolates With Reduced Fidaxomicin Susceptibility in an Acute Care Hospital.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    Article
  6. Molecular Epidemiology ofOpen forum infectious diseases · 2024
    Article
  7. Article
  8. Incubation period ofAntimicrobial stewardship & healthcare epidemiology : ASHE · 2024
    Article
  9. Discrimination between hypervirulent and non-hypervirulent ribotypes of Clostridioides difficile by MALDI-TOF mass spectrometry and machine learning.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2023
    Article
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  17. Review
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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

13 authors.

Jonathan N V MartinsonDepartment of Microbiology and Immunology, Montana State University, Bozeman, Montana, USA.
Susan BroadawayDepartment of Microbiology and Immunology, Montana State University, Bozeman, Montana, USA.
Egan LohmanDepartment of Microbiology and Immunology, Montana State University, Bozeman, Montana, USA.
Christina JohnsonDepartment of Microbiology and Immunology, Montana State University, Bozeman, Montana, USA.
M Jahangir AlamCollege of Pharmacy, University of Houston, Houston, Texas, USA.
Mohammed KhaleduzzamanCollege of Pharmacy, University of Houston, Houston, Texas, USA.
Kevin W GareyCollege of Pharmacy, University of Houston, Houston, Texas, USA.
Jessica SchlackmanDepartment of Medicine, Division of Infectious Diseases, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Vincent B YoungDepartment of Internal Medicine, Division of Infectious Diseases, University of Michigan, Ann Arbor, Michigan, USA Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA Division of Infectious Diseases, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.
Kavitha SanthoshDepartment of Internal Medicine, Division of Infectious Diseases, University of Michigan, Ann Arbor, Michigan, USA.
Krishna RaoDepartment of Internal Medicine, Division of Infectious Diseases, University of Michigan, Ann Arbor, Michigan, USA Division of Infectious Diseases, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.
Robert H LyonsDepartment of Biological Chemistry, University of Michigan, Ann Arbor, Michigan, USA.
Seth T WalkDepartment of Microbiology and Immunology, Montana State University, Bozeman, Montana, USA seth.walk@montana.edu.

Funding

Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Neil Alexander · 2004 to 2026
$29.2M
The Interplay Between Host Immunity and Clostridium difficile PathogenesisU19AI090871 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI YOUNG, VINCENT B · 2010 to 2014
$7.5M
Phylogenomic epidemiology of Clostridium difficileK01AI097281 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WALK, SETH T · 2012 to 2016
$509k
NIAID NIH HHS K01 AI097281NIAID NIH HHS K01AI09728101NIAID NIH HHS U19 AI090871NIA NIH HHS AG-024824NIA NIH HHS P30 AG024824Wellcome Trust
6 · The paper itself

Abstract

Clostridium difficile is the most commonly identified pathogen among health care-associated infections in the United States. There is a need for accurate and low-cost typing tools that produce comparable data across studies (i.e., portable data) to help characterize isolates during epidemiologic investigations of C. difficile outbreaks and sporadic cases of disease. The most popular C. difficile-typing technique is PCR ribotyping, and we previously developed methods using fluorescent PCR primers and amplicon sizing on a Sanger-style sequencer to generate fluorescent PCR ribotyping data. This technique has been used to characterize tens of thousands of C. difficile isolates from cases of disease. Here, we present validation of a protocol for the cost-effective generation of fluorescent PCR ribotyping data. A key component of this protocol is the ability to accurately identify PCR ribotypes against an online database (http://walklab.rcg.montana.edu) at no cost. We present results from a blinded multicenter study to address data portability across four different laboratories and three different sequencing centers. Our standardized protocol and centralized database for typing of C. difficile pathogens will increase comparability between studies so that important epidemiologic linkages between cases of disease and patterns of emergence can be rapidly identified.

Indexed as

Clostridioides difficileClostridium InfectionsHumansMolecular EpidemiologyPolymerase Chain ReactionRibotyping

Identifiers

PMID25631804
PMCPMC4365229

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.