Evidence map›Paper›PMID 24393579›Full record

ArticleAnnals of clinical microbiology and antimicrobials2014

Real-time PCR TaqMan assay for rapid screening of bloodstream infection.

Hye-Young Wang, Sunghyun Kim, Hyunjung Kim, Jungho Kim, Yeun Kim, Soon-Deok Park, Hyunwoo Jin, Yeonim Choi, Young Uh, Hyeyoung Lee

Open access · goldAbstract read
In one paragraph

Article in Annals of clinical microbiology and antimicrobials, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed, 18 citations in OpenAlex.

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  4. Molecular Diagnosis of Yeast Infections.Current fungal infection reports · 2021
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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

10 authors at 4 institutions in 2 countries.

Hye-Young Wang
Sunghyun Kim
Hyunjung Kim
Jungho Kim
Yeun Kim
Soon-Deok Park
Hyunwoo Jin
Yeonim Choi
Young UhDepartment of Biomedical Laboratory Science, College of Health Sciences, Yonsei University, Wonju, Gangwon 220-710, Republic of Korea. u931018@yonsei.ac.kr.
Hyeyoung Lee
Yonsei University · KRUniversity of Bahrain · BHCatholic University of Pusan · KRSongho University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSepsis is one of the main causes of mortality and morbidity. The rapid detection of pathogens in blood of septic patients is essential for adequate antimicrobial therapy and better prognosis. This study aimed to accelerate the detection and discrimination of Gram-positive (GP) and Gram-negative (GN) bacteria and Candida species in blood culture samples by molecular methods.

methodsThe Real-GP®, -GN®, and -CAN® real-time PCR kit (M&D, Wonju, Republic of Korea) assays use the TaqMan probes for detecting pan-GP, pan-GN, and pan-Candida species, respectively. The diagnostic performances of the real-time PCR kits were evaluated with 115 clinical isolates, 256 positive and 200 negative blood culture bottle samples, and the data were compared to results obtained from conventional blood culture.

resultsEighty-seven reference strains and 115 clinical isolates were correctly identified with specific probes corresponding to GP-bacteria, GN-bacteria and Candida, respectively. The overall sensitivity and specificity of the real-time PCR kit with blood culture samples were 99.6% and 89.5%, respectively.

conclusionsThe Real-GP®, -GN®, and -CAN® real-time PCR kits could be useful tools for the rapid and accurate screening of bloodstream infections (BSIs).

Indexed as

BacteremiaCandidaCandidemiaGram-Negative BacteriaGram-Positive BacteriaHumansMass ScreeningMolecular Diagnostic TechniquesReal-Time Polymerase Chain ReactionSensitivity and SpecificitySepsisTime Factors

Identifiers

PMID24393579
PMCPMC3898783
OpenAlexW2115870578

What OpenQuestion holds

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Registered trials

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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.