Evidence map›Paper›PMID 22173653›Full record

ArticleCurrent microbiology2012

Detection of Candida albicans by mass spectrometric fingerprinting.

Sarah Zehm, Simone Schweinitz, Reinhard Würzner, Hans Peter Colvin, Josef Rieder

Abstract read
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In one paragraph

Article in Current microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

9 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. A novel, rapid, ultrasensitive diagnosis platform for detectingFrontiers in cellular and infection microbiology · 2024
    Article
  3. Article
  4. Theranostics · 2021
    Article
  5. Article
  6. Article
  7. Article
  8. Detection of signature volatiles for cariogenic microorganisms.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2016
    Article
  9. 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

5 authors at 3 institutions in 2 countries.

Sarah ZehmDepartment of Vascular Surgery, Innsbruck University Hospital, Anichstrasse 35, Innsbruck, Austria. sarah.zehm@gmail.com
Simone Schweinitz
Reinhard Würzner
Hans Peter Colvin
Josef Rieder
University Hospital Innsbruck · ATInnsbruck Medical University · ATKrankenhaus Barmherzige Brüder · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Candida albicans is one of the most frequent causes of fungal infections in humans. Significant correlation between candiduria and invasive candidiasis has previously been described. The existing diagnostic methods are often time-consuming, cost-intensive and lack in sensitivity and specificity. In this study, the profile of low-molecular weight volatile compounds in the headspace of C. albicans-urine suspensions of four different fungal cell concentrations compared to nutrient media and urine without C. albicans was determined using proton-transfer reaction mass spectrometry (PTR-MS). At fungal counts of ≥1.5 × 10(5) colony forming units (CFU)/ml signals at 45, 47 and 73 atomic mass units (amu) highly significantly increased. At fungal counts of <1.5 × 10(5) CFU/ml signals at 47 and 73 amu also increased, but only at 45 amu a statistically significant increase was seen. Time course alterations of signal intensities dependent on different cell concentrations and after addition of Sabouraud nutrient solution were analysed. Recommendations for measurement conditions are given. Our study is the first to describe headspace profiling of C. albicans-urine suspensions of different fungal cell concentrations. PTR-MS represents a promising approach to rapid, highly sensitive and non-invasive clinical diagnostics allowing qualitative and quantitative analysis.

Indexed as

MetabolomeCandida albicansColony Count, MicrobialHumansMass SpectrometryMycologyUrineVolatile Organic CompoundsVolatile Organic Compounds

Identifiers

PMID22173653
OpenAlexW2090655216

What OpenQuestion holds

Textmetadata
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.