Evidence map›Paper›PMID 11825976›Full record

ArticleJournal of clinical microbiology2002

Rapid identification of Candida species by confocal Raman microspectroscopy.

K Maquelin, L P Choo-Smith, H P Endtz, H A Bruining, G J Puppels

Abstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Analytical chemistry · 2025
    Article
  5. Article
  6. Characterization and Differentiation ofPathogens (Basel, Switzerland) · 2024
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Culture-Free Detection of Crop Pathogens at the Single-Cell Level by Micro-Raman Spectroscopy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2017
    Article
  12. Article
  13. Article
  14. Raman spectroscopy of microbial pigments.Applied and environmental microbiology · 2014
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors.

K MaquelinLaboratory for Intensive Care Research and Optical Spectroscopy, Department of General Surgery 10M. Erasmus University Rotterdam and University Hospital Rotterdam, "Dijkzigt," Rotterdam, The Netherlands.
L P Choo-Smith
H P Endtz
H A Bruining
G J Puppels

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Candida species are important nosocomial pathogens associated with high mortality rates. Rapid detection and identification of Candida species can guide a clinician at an early stage to prescribe antifungal drugs or to adjust empirical therapy when resistant species are isolated. Confocal Raman microspectroscopy is highly suitable for the rapid identification of Candida species, since Raman spectra can be directly obtained from microcolonies on a solid culture medium after only 6 h of culturing. In this study, we have used a set of 42 Candida strains comprising five species that are frequently encountered in clinical microbiology to test the feasibility of the technique for the rapid identification of Candida species. The procedure was started either from a culture on Sabouraud medium or from a positive vial of an automated blood culture system. Prior to Raman measurements, strains were subcultured on Sabouraud medium for 6 h to form microcolonies. Using multivariate statistical analyses, a high prediction accuracy (97 to 100%) was obtained with the Raman method. Identification with Raman microspectroscopy may therefore be significantly faster than identification with commercial identification systems that allow various species to be identified and that often require 24 to 48 h before a reliable identification is obtained. We conclude that confocal Raman microspectroscopy offers a rapid, accurate, and easy-to-use alternative for the identification of clinically relevant Candida species.

Indexed as

Bacterial Typing TechniquesAlgorithmsCandidaCandidiasisCulture MediaHumansMicroscopy, ConfocalSpectrum Analysis, RamanCulture Media

Identifiers

PMID11825976
PMCPMC153356

What OpenQuestion holds

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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.