Evidence map›Paper›PMID 26733976›Full record

ArticleFrontiers in microbiology2015

Rapid Detection of K1 Hypervirulent Klebsiella pneumoniae by MALDI-TOF MS.

Yonglu Huang, Jiaping Li, Danxia Gu, Ying Fang, Edward W Chan, Sheng Chen, Rong Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

17 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Hypervirulent and Drug-ResistantInternational journal of general medicine · 2026
    Review
  3. Review
  4. Review
  5. Multidrug-resistant hypervirulentFuture microbiology · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. HypervirulentPathogens & immunity · 2024
    Review
  10. Article
  11. Review
  12. Hypermucoviscous Carbapenem-ResistantInternational journal of molecular sciences · 2023
    Article
  13. A subunit vaccine against pneumonia: targeting SNetwork modeling and analysis in health informatics and bioinformatics · 2023
    Article
  14. Identification of hypervirulent Klebsiella pneumoniae isolates using the string test in combination with Galleria mellonella infectivity.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2020
    Article
  15. Hypervirulent Klebsiella pneumoniae.Clinical microbiology reviews · 2019
    Review
  16. Article
  17. 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

7 authors at 2 institutions in 2 countries.

Yonglu HuangDepartment of Clinical Microbiology, Second Affiliated Hospital of Zhejiang University Hangzhou, China.
Jiaping LiDepartment of Clinical Microbiology, Second Affiliated Hospital of Zhejiang University Hangzhou, China.
Danxia GuDepartment of Clinical Microbiology, Second Affiliated Hospital of Zhejiang University Hangzhou, China.
Ying FangDepartment of Clinical Microbiology, Second Affiliated Hospital of Zhejiang University Hangzhou, China.
Edward W ChanShenzhen Key Lab for Food Biological Safety Control, Food Safety and Technology Research Center, Hong Kong PolyU Shenzhen Research InstituteShenzhen, China; State Key Lab of Chirosciences, Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic UniversityHong Kong, China.
Sheng ChenShenzhen Key Lab for Food Biological Safety Control, Food Safety and Technology Research Center, Hong Kong PolyU Shenzhen Research InstituteShenzhen, China; State Key Lab of Chirosciences, Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic UniversityHong Kong, China.
Rong ZhangDepartment of Clinical Microbiology, Second Affiliated Hospital of Zhejiang University Hangzhou, China.
Second Affiliated Hospital of Zhejiang University · CNHong Kong Polytechnic University · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypervirulent strains of Klebsiella pneumoniae (hvKP) are genetic variants of K. pneumoniae which can cause life-threatening community-acquired infection in healthy individuals. Currently, methods for efficient differentiation between classic K. pneumoniae (cKP) and hvKP strains are not available, often causing delay in diagnosis and treatment of hvKP infections. To address this issue, we devised a Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) approach for rapid identification of K1 hvKP strains. Four standard algorithms, genetic algorithm (GA), support vector machine (SVM), supervised neural network (SNN), and quick classifier (QC), were tested for their power to differentiate between K1 and non-K1 strains, among which SVM was the most reliable algorithm. Analysis of the receiver operating characteristic curves of the interest peaks generated by the SVM model was found to confer highly accurate detection sensitivity and specificity, consistently producing distinguishable profiles for K1 hvKP and non-K1 strains. Of the 43 K. pneumoniae modeling strains tested by this approach, all were correctly identified as K1 hvKP and non-K1 capsule type. Of the 20 non-K1 and 17 K1 hvKP validation isolates, the accuracy of K1 hvKP and non-K1 identification was 94.1 and 90.0%, respectively, according to the SVM model. In summary, the MALDI-TOF MS approach can be applied alongside the conventional genotyping techniques to provide rapid and accurate diagnosis, and hence prompt treatment of infections caused by hvKP.

Indexed as

K1 hvKPMALDI-TOF MSrapid detectionSVM modeltypical spectra

Identifiers

PMID26733976
PMCPMC4685062
OpenAlexW2228699360

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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.