Evidence map›Paper›PMID 37608359›Full record

ArticleBMC microbiology2023

Evaluation of the Autof ms1000 mass spectrometry for rapid clinical identification of filamentous fungi.

Keping Ao, Xiaohan Li, Weili Zhang, Zhixing Chen, Ya Liu, Ling Shu, Yuling Xiao, Siying Wu, Yi Xie, Mei Kang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Evaluating the Autof MS2600 vs. Biotyper Sirius MALDI-TOF MS: a head-to-head study for routine microbial identification in a university clinical microbiology laboratory.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  2. Review
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 2 institutions in 1 country.

Keping AoDepartment of Laboratory Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, China.
Xiaohan LiDepartment of Laboratory Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, China.
Weili ZhangDepartment of Laboratory Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, China.
Zhixing ChenDepartment of Laboratory Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, China.
Ya LiuDepartment of Laboratory Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, China.
Ling ShuDepartment of Laboratory Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, China.
Yuling XiaoDepartment of Laboratory Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, China.
Siying WuDepartment of Laboratory Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, China.
Yi XieDepartment of Laboratory Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, China.
Mei KangDepartment of Laboratory Medicine, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, China. kangmei@sina.com.
Sichuan University · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMatrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has revolutionized microbial identification. However, there is a lack of data on its performance in identifying filamentous fungi. The objective of our study was to evaluate the accuracy of the Autof ms1000 mass spectrometry for identifying filamentous fungi in the clinical microbiology laboratory.

resultsAmong 106 samples tested using the Autof ms1000 system, 101 (95.28%) were identified at the genus or species level, and 81 (76.41%) were accurately identified at the species level. Additionally, we developed a new rapid formic acid extraction method with simple pretreatment for filamentous fungi that saved time and provided accurate results.

conclusionsThe Autof ms1000 mass spectrometer proved to be a valuable tool for identifying filamentous fungi. However, upgrading the database is recommended for correctly identifying rare strains.

Indexed as

FungiLaboratoriesDatabases, FactualSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAccuracyAutof ms1000Filamentous fungiIsolates identificationMALDI-TOFMass spectrometry

Identifiers

PMID37608359
PMCPMC10464221
OpenAlexW4386051222

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.