Evidence map›Paper›PMID 33634037›Full record

ReviewFrontiers in cellular and infection microbiology2020

Detection of Species-Specific Lipids by Routine MALDI TOF Mass Spectrometry to Unlock the Challenges of Microbial Identification and Antimicrobial Susceptibility Testing.

Vera Solntceva, Markus Kostrzewa, Gerald Larrouy-Maumus

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in cellular and infection microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Review
  3. Antibiotic resistance inFrontiers in microbiology · 2026
    Review
  4. Article
  5. Performance of direct detection ofMicrobiology spectrum · 2025
    Article
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  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
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  14. Review
  15. Review
  16. "Omic" Approaches to Bacteria and Antibiotic Resistance Identification.International journal of molecular sciences · 2022
    Review
  17. Review
  18. Article
  19. 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

3 authors at 2 institutions in 2 countries.

Vera SolntcevaMRC Centre for Molecular Bacteriology and Infection, Department of Life Sciences, Faculty of Natural Sciences, Imperial College London, London, United Kingdom.
Markus KostrzewaBruker Daltonik GmbH, Bremen, Germany.
Gerald Larrouy-MaumusMRC Centre for Molecular Bacteriology and Infection, Department of Life Sciences, Faculty of Natural Sciences, Imperial College London, London, United Kingdom.
Imperial College London · GBBruker (Germany) · DE

Funding

Medical Research Council MR/P028225/1Wellcome TrustWellcome Trust 105603/Z/14/Z
6 · The paper itself

Abstract

MALDI-TOF mass spectrometry has revolutionized clinical microbiology diagnostics by delivering accurate, fast, and reliable identification of microorganisms. It is conventionally based on the detection of intracellular molecules, mainly ribosomal proteins, for identification at the species-level and/or genus-level. Nevertheless, for some microorganisms (e.g., for mycobacteria) extensive protocols are necessary in order to extract intracellular proteins, and in some cases a protein-based approach cannot provide sufficient evidence to accurately identify the microorganisms within the same genus (e.g.,

Indexed as

Anti-Infective AgentsMycobacteriumEscherichia coliLipidsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAnti-Infective AgentsLipidsdiagnosticsdrug resistancegram-negativegram-positivelipidsmatrix-assisted laser desorption ionizationmycobacteria

Identifiers

PMID33634037
PMCPMC7902069
OpenAlexW3129108340

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.