Evidence map›Paper›PMID 27777984›Full record

ArticlemSphere

Molecular Epidemiology of Colonizing and Infecting Isolates of

Rebekah M Martin, Jie Cao, Sylvain Brisse, Virginie Passet, Weisheng Wu, Lili Zhao, Preeti N Malani, Krishna Rao, Michael A Bachman

Open access · goldAbstract read
In one paragraph

Article in mSphere. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 185 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
185citing papers in PubMed, 2 pooled it
6.4field-weighted citation impact, top 3% 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

185 citing papers in PubMed, 2 syntheses or guidelines pooled it, 320 citations in OpenAlex.

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125 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Rebekah M MartinDepartment of Pathology, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Jie CaoDepartment of Pathology, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Sylvain BrisseInstitut Pasteur, Microbial Evolutionary Genomics, Paris, France.
Virginie PassetInstitut Pasteur, Microbial Evolutionary Genomics, Paris, France.
Weisheng WuBRCF Bioinformatics Core, University of Michigan, Ann Arbor, Michigan, USA.
Lili ZhaoDepartment of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
Preeti N MalaniDivision of Infectious Diseases, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Krishna RaoDivision of Infectious Diseases, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, Michigan, USA; Section of Infectious Diseases, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan, USA.
Michael A BachmanDepartment of Pathology, University of Michigan Medical School, Ann Arbor, Michigan, USA.ORCID 0000-0003-2507-6987
University of Michigan · USInstitut Pasteur · FR

Funding

Michigan Institute for Clinical and Health Research (MCHR)UL1TR000433 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$49.9M
Research Education CoreP30AG024824 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Andrzej T Galecki · 2004 to 2026
$29.2M
Integrated modeling of Klebsiella pneumoniae infections based on bacterial genotype, patient factors and colonization statusR01AI125307 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BACHMAN, MICHAEL ABBOTT · 2017 to 2021
$2.6M
NCATS NIH HHS UL1 TR000433NIAID NIH HHS R01 AI125307NIA NIH HHS P30 AG024824
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

cgMLSTcolonizationinfectionKlebsiellaMLSTpneumoniawhole-genome sequencingwzi

Identifiers

PMID27777984
PMCPMC5071533
OpenAlexW2538058458

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.