Evidence map›Paper›PMID 37600400›Full record

ArticleHeliyon2023

Evaluation of the Zybio EXS3000 mass spectrometry in routine identification of Clinical isolates.

Song Li, Dexing Han, Xiaowei Chen, Dexiang Zheng, Yimei Cai, Dongling Lin, Xuan Zhang, Peifeng Ke, Pinghua Qu, Cha Chen

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Song LiThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Dexing HanThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Xiaowei ChenThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Dexiang ZhengThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Yimei CaiThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Dongling LinThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Xuan ZhangThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Peifeng KeThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Pinghua QuThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Cha ChenThe Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has been widely applied in routine clinical microbiology laboratories as an efficient and reliable technique for diagnostic purpose. In this work, we evaluated the performance of the newly developed Zybio EXS3000 (Zybio Inc., China) in microbial identification and compared it with VITEK MS (bioMérieux, France). For this study, a total of 1340 isolates from various clinical specimens were collected. These isolates were analyzed simultaneously on both EXS3000 and VITEK MS. The inconsistent or unidentifiable data were further identified using the help of either 16S rRNA gene or ITS region sequencing. During the study, we observed that EXS3000 and VITEK MS provided positive confirmatory diagnostics for 95.0% and 96.5% of the isolates, respectively, which were consistent with the sequencing results. However, it is worth noting that the EXS3000 system needs to improve the identification performance of

Identifiers

PMID37600400
PMCPMC10432711

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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.