Evidence map›Paper›PMID 38379773›Full record

ArticleFrontiers in cellular and infection microbiology2024

Evaluation of nucleotide MALDI-TOF-MS for the identification of

Yelei Zhu, Zhengwei Liu, Lina Peng, Bin Liu, Kunyang Wu, Mingwu Zhang, Xiaomeng Wang, Junhang Pan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
5.8field-weighted citation impact, top 3% 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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. DisseminatedJournal of clinical tuberculosis and other mycobacterial diseases · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Comparative evaluation of MALDI-ToF mass spectrometry and Sanger sequencing of theFrontiers in cellular and infection microbiology · 2025
    Article
  11. Article
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

8 authors at 2 institutions in 1 country.

Yelei Zhu *Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Zhengwei Liu *Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Lina PengDepartment of Service and Support, Agena Bioscience, Shanghai, China.
Bin LiuDepartment of Service and Support, Agena Bioscience, Shanghai, China.
Kunyang WuDepartment of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Mingwu ZhangDepartment of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Xiaomeng WangDepartment of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Junhang PanDepartment of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Zhejiang Center for Disease Control and Prevention · CNBioscience (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The accurate identification of the Methods: A total of 933 clinical Results: The total correct detection rate of all 933 clinical Conclusion: In conclusion, nucleotide MALDI-TOF-MS is a promising approach for identifying MTBC and the most common clinical NTM species.

Indexed as

MycobacteriumMycobacterium abscessusMycobacterium Infections, NontuberculousHumansMycobacterium aviumNontuberculous MycobacteriaSpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionizationmixed infectionMTBCNTMnucleotide MALDI-TOF-MSspecies identification

Identifiers

PMID38379773
PMCPMC10876993
OpenAlexW4391573173

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.