Evidence map›Paper›PMID 29898999›Full record

ArticleJournal of clinical microbiology2018

Nicholas D Beyda, Jonathan Amadio, Jose R Rodriguez, Karen Malinowski, Kevin W Garey, Audrey Wanger, Luis Ostrosky-Zeichner

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Journal of clinical microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Observational
  3. Observational
  4. Review
  5. Effect of empirical antifungal treatment on mortality in non-neutropenic critically ill patients: a propensity-matched retrospective cohort study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2022
    Article
  6. Review
  7. Article
  8. T2Candida for the Diagnosis and Management of InvasiveJournal of fungi (Basel, Switzerland) · 2021
    Review
  9. Article
  10. Article
  11. Article
  12. Frontiers in microbiology · 2019
    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 at 1 institution in 1 country.

Nicholas D BeydaUniversity of Houston College of Pharmacy, Houston, Texas, USA ndbeyda@uh.edu.
Jonathan AmadioUniversity of Houston College of Pharmacy, Houston, Texas, USA.
Jose R RodriguezUniversity of Texas Medical School at Houston, Houston, Texas, USA.
Karen MalinowskiUniversity of Texas Medical School at Houston, Houston, Texas, USA.
Kevin W GareyUniversity of Houston College of Pharmacy, Houston, Texas, USA.ORCID 0000-0003-2063-7503
Audrey WangerUniversity of Texas Medical School at Houston, Houston, Texas, USA.
Luis Ostrosky-ZeichnerUniversity of Texas Medical School at Houston, Houston, Texas, USA.
University of Houston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The T2Candida assay is a novel, non-culture-based assay for the diagnosis of candidemia directly from whole blood. The impact of antifungals on the performance of the T2Candida assay and blood culture bottles has not been well described. In this study, the performance of the T2Candida assay was compared to that of blood culture in detecting

Indexed as

Antifungal AgentsBacterial LoadBloodCandidaCandidemiaDiagnostic Tests, RoutineHumansMicrobial Sensitivity TestsMicrobiological TechniquesSensitivity and SpecificityTime FactorsAntifungal Agentsazole antifungalsblood cultureCandidadiagnosticsechinocandin antifungalsmycologyrapid diagnostics

Identifiers

PMID29898999
PMCPMC6062783
OpenAlexW2808441502

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.