Evidence map›Paper›PMID 34631179›Full record

ArticleCase reports in infectious diseases2021

Cameron Strong, Michael Cosiano, Melanie Cabezas, J W Barwatt, L Gayani Tillekeratne

Open access · goldAbstract readCase Reports
In one paragraph

Article in Case reports in infectious diseases, 2021. 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
0.3field-weighted citation impact, top 39% 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, 6 citations in OpenAlex.

  1. mNGS-Supported Interpretation ofInfection and drug resistance · 2026
    Article
  2. Comparison ofInternational journal of molecular sciences · 2025
    Article
  3. Phenotypic and Genotypic Virulence Characterisation ofInternational journal of molecular sciences · 2022
    Article
  4. Compositional Data Analysis of 16S rRNA Gene Sequencing Results from Hospital Airborne Microbiome Samples.International journal of environmental research and public health · 2022
    Article
  5. Knowledge, Attitude and Practice RegardingInfectious disease reports · 2022
    Review
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 1 institution in 1 country.

Cameron StrongDepartment of Medicine, Duke University School of Medicine, Durham, NC, USA.ORCID https://orcid.org/0000-0002-4815-0556
Michael CosianoDepartment of Medicine, Duke University School of Medicine, Durham, NC, USA.ORCID https://orcid.org/0000-0003-0165-3022
Melanie CabezasDepartment of Medicine, Duke University School of Medicine, Durham, NC, USA.ORCID https://orcid.org/0000-0003-1804-5154
J W BarwattDepartment of Medicine, Duke University School of Medicine, Durham, NC, USA.ORCID https://orcid.org/0000-0003-3362-6424
L Gayani TillekeratneDepartment of Medicine, Duke University School of Medicine, Durham, NC, USA.ORCID https://orcid.org/0000-0001-6012-7271
Duke University · US

Funding

Novel Cilia Trafficking MechanismsR01DK084725 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARGOLIS, BENJAMIN L · 2009 to 2010
$702k
NIDDK NIH HHS R01 DK084725
6 · The paper itself

Abstract

Coagulase-negative staphylococci (CoNS) are considered the most common cause of nosocomial bloodstream infections; yet, these species are frequently designated as contaminants in the absence of systemic signs and symptoms of infection. Immunocompromised patients or those with prosthetic devices are at increased risk for clinically significant bacteremia. With the advent of matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) in clinical practice, there has been improved specificity of CoNS isolate identification and further elucidation of underrecognized pathogenic species.

Identifiers

PMID34631179
PMCPMC8494585
OpenAlexW3202292582

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.