Evidence map›Paper›PMID 26202112›Full record

ArticleJournal of clinical microbiology2015

Development of a Multilocus Sequence Typing System for Medically Relevant Bipolaris Species.

Cau D Pham, Anne E Purfield, Robert Fader, Neil Pascoe, Shawn R Lockhart

Open access · bronzeAbstract readEvaluation Study
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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. 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

5 authors at 3 institutions in 1 country.

Cau D PhamCenters for Disease Control and Prevention, Atlanta, Georgia, USA.
Anne E PurfieldCenters for Disease Control and Prevention, Atlanta, Georgia, USA.
Robert FaderScott and White Hospital, Temple, Texas, USA.
Neil PascoeTexas Department of State Health Services, Austin, Texas, USA.
Shawn R LockhartCenters for Disease Control and Prevention, Atlanta, Georgia, USA gyi2@cdc.gov.
Centers for Disease Control and Prevention · USScott & White Memorial Hospital · USTexas Department of State Health Services · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multilocus sequence typing (MLST) is the gold standard genotyping technique for many microorganisms. This classification approach satisfies the requirements for a high-resolution, standardized, and archivable taxonomic system. Here, we describe the development of a novel MLST system to assist with the investigation of an unusual cluster of surgical site infections caused by Bipolaris spp. in postoperative cardiothoracic surgery (POCS) patients during January 2008 to December 2013 in the southeastern United States. We also used the same MLST system to perform a retrospective analysis on isolates from a 2012 Bipolaris endophthalmitis outbreak caused by a contaminated product. This MLST system showed high intraspecies discriminatory power for Bipolaris spicifera, B. hawaiiensis, and B. australiensis. Based on the relatedness of the isolates, the MLST data supported the hypothesis that infections in the POCS cluster were from different environmental sources while confirming that the endophthalmitis outbreak resulted from a point source, which was a contaminated medication.

Indexed as

AscomycotaCluster AnalysisDisease OutbreaksEndophthalmitisGenotypeHumansMolecular EpidemiologyMultilocus Sequence TypingMycological Typing TechniquesMycosesRetrospective StudiesSoutheastern United StatesSurgical Wound Infection

Identifiers

PMID26202112
PMCPMC4572541
OpenAlexW1576406374

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.