Evidence map›Paper›PMID 23784121›Full record

ArticleJournal of clinical microbiology2013

Visual analysis of DNA microarray data for accurate molecular identification of non-albicans Candida isolates from patients with candidemia episodes.

Michela De Luca Ferrari, Mariângela Ribeiro Resende, Kanae Sakai, Yasunori Muraosa, Luzia Lyra, Tohru Gonoi, Yuzuru Mikami, Kenichiro Tominaga, Katsuhiko Kamei, Angelica Zaninelli Schreiber and 2 more

Abstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2013. 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
–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

5 citing papers in PubMed.

  1. Article
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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

12 authors.

Michela De Luca FerrariInfectious Diseases Division, Department of Internal Medicine, Faculty of Medical Sciences, State University of Campinas, São Paulo, Brazil.
Mariângela Ribeiro Resende
Kanae Sakai
Yasunori Muraosa
Luzia Lyra
Tohru Gonoi
Yuzuru Mikami
Kenichiro Tominaga
Katsuhiko Kamei
Angelica Zaninelli Schreiber
Plinio Trabasso
Maria Luiza Moretti

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The performance of a visual slide-based DNA microarray for the identification of non-albicans Candida spp. was evaluated. Among 167 isolates that had previously been identified by Vitek 2, the agreement between DNA microarray and sequencing results was 97.6%. This DNA microarray platform showed excellent performance.

Indexed as

CandidaCandidemiaCohort StudiesHumansOligonucleotide Array Sequence AnalysisRecurrenceRetrospective StudiesStatistics as Topic

Identifiers

PMID23784121
PMCPMC3889773

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.