Evidence map›Paper›PMID 30135228›Full record

ArticleJournal of clinical microbiology2018

Comparison of the Vitek MS and Bruker Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry Systems for Identification of Chryseobacterium Isolates from Clinical Specimens and Report of Uncommon Chryseobacterium Infections in Humans.

Jiun-Nong Lin, Shih-Hua Teng, Chung-Hsu Lai, Chih-Hui Yang, Yi-Han Huang, Hsiu-Fang Lin, Hsi-Hsun Lin

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 20 citations in OpenAlex.

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  8. Multiple Drug-Resistant CLABSI from an Extremely Rare Bacterium,Case reports in infectious diseases · 2020
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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

7 authors at 4 institutions in 1 country.

Jiun-Nong LinDivision of Infectious Diseases, Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan jinoli@kmu.edu.tw.
Shih-Hua TengBruker Taiwan Co., Ltd., Taipei, Taiwan.
Chung-Hsu LaiDivision of Infectious Diseases, Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan.
Chih-Hui YangDepartment of Biological Science and Technology, Meiho University, Pingtung, Taiwan.
Yi-Han HuangDivision of Infectious Diseases, Department of Internal Medicine, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan.
Hsiu-Fang LinDepartments of Clinical Pathology, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan.
Hsi-Hsun LinGeneral Clinical Research Center, Department of Medical Research, Taipei Veterans General Hospital, Taipei, Taiwan.
E-Da Hospital · TWI-Shou University · TWMeiho University · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Matrix-assisted laser desorption ionization-time of flight mass spectrometry is becoming more popular and is replacing traditional identification methods in the clinical microbiology laboratory. We aimed to compare the Vitek mass spectrometry (MS) and Bruker Biotyper systems for the identification of

Indexed as

Bacterial Typing TechniquesChryseobacteriumDNA, BacterialFlavobacteriaceae InfectionsHumansRNA, Ribosomal, 16SSequence Analysis, DNASpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationDNA, BacterialRNA, Ribosomal, 16SBruker BiotyperChryseobacteriumMALDI-TOF MSmicrobial identificationVitek MS

Identifiers

PMID30135228
PMCPMC6204688
OpenAlexW2888233752

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.