Evidence map›Paper›PMID 37786852›Full record

ArticleJournal of veterinary research2023

Comparison of automatic methods MALDI-TOF, VITEK2 and manual methods for the identification of intestinal microbial communities on the example of samples from alpacas (

Joanna Pławińska-Czarnak, Karolina Wódz, Zuzanna Strzałkowska, Monika Żychska, Tomasz Nowak, Adam Kwieciński, Piotr Kwieciński, Wojciech Bielecki, Anna Rodo, Magdalena Rzewuska and 3 more

Abstract read
In one paragraph

Article in Journal of veterinary research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Occurrence ofPathogens (Basel, Switzerland) · 2026
    Article
  3. An update on clinically relevant, rare, and emergingClinical microbiology reviews · 2025
    Review
  4. Review
  5. Article
  6. Foods (Basel, Switzerland) · 2025
    Article
  7. Journal of fungi (Basel, Switzerland) · 2024
    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

13 authors.

Joanna Pławińska-CzarnakDepartment of Food Hygiene and Public Health Protection, Warsaw, Poland.
Karolina WódzLaboratory of Molecular Biology, Vet-Lab Brudzew, 62-720 Brudzew, Poland.
Zuzanna StrzałkowskaDepartment of Food Hygiene and Public Health Protection, Warsaw, Poland.
Monika ŻychskaLaboratory of Veterinary Epidemiology and Economic, Institute of Veterinary Medicine, Warsaw University of Life Sciences, 02-786 Warsaw, Poland.
Tomasz NowakLaboratory of Molecular Biology, Vet-Lab Brudzew, 62-720 Brudzew, Poland.
Adam KwiecińskiLaboratory of Molecular Biology, Vet-Lab Brudzew, 62-720 Brudzew, Poland.
Piotr KwiecińskiLaboratory of Molecular Biology, Vet-Lab Brudzew, 62-720 Brudzew, Poland.
Wojciech BieleckiDepartment of Pathology and Veterinary Diagnostics, Institute of Veterinary Medicine, Warsaw University of Life Sciences, 02-776 Warsaw, Poland.
Anna RodoDepartment of Pathology and Veterinary Diagnostics, Institute of Veterinary Medicine, Warsaw University of Life Sciences, 02-776 Warsaw, Poland.
Magdalena RzewuskaDepartment of Preclinical Sciences, Institute of Veterinary Medicine, Warsaw University of Life Sciences, 02-787 Warsaw, Poland.
Daria KłosińskaDivision of Histology and Embryology, Department of Morphological Sciences, Faculty of Veterinary Medicine, Warsaw University of Life Sciences, 02-776 Warsaw, Poland.
Krzysztof AnuszDepartment of Food Hygiene and Public Health Protection, Warsaw, Poland.
Blanka OrłowskaDepartment of Food Hygiene and Public Health Protection, Warsaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Universally, in microbiological diagnostics the detection of live bacteria is essential. Rapid identification of pathogens enables appropriate remedial measures to be taken. The identification of many bacteria simultaneously facilitates the determination of the characteristics of the accompanying microbiota and/or the microbiological complexity of a given environment. Material and Methods: The effectiveness of the VITEK2 Compact automated microbial identification system and matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry (MALDI-TOF MS), analytical profile index (API) and Remel RapID tests were compared in identification of bacteria isolated from the alpaca gastrointestinal tract. Results: Most isolates were Gram-positive, such as Conclusion: MALDI-TOF MS enabled the identification of pathogens and opportunistic pathogens from the alpaca gut which may represent a high risk to human and animal health.

Indexed as

intestinal microbiotaMALDI-TOF MSmicrobial identificationopportunistic pathogensVicugna pacos

Identifiers

PMID37786852
PMCPMC10541665

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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.