Evidence map›Paper›PMID 26763972›Full record

ArticleJournal of clinical microbiology2016

Identification of Neisseria gonorrhoeae by the Bruker Biotyper Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry System Is Improved by a Database Extension.

Valentijn A Schweitzer, Alje P van Dam, I Putu Yuda Hananta, Rob Schuurman, Johannes G Kusters, Rob J Rentenaar

Abstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. The Laboratory Diagnosis ofPathogens (Basel, Switzerland) · 2020
    Review
  2. Use of Andromas and Bruker MALDI-TOF MS in the identification of Neisseria.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2018
    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

6 authors.

Valentijn A SchweitzerDepartment of Medical Microbiology, University Medical Centre Utrecht, Utrecht, The Netherlands.
Alje P van DamPublic Health Laboratory, Cluster of Infectious Diseases, Health Service of Amsterdam, Amsterdam, The Netherlands Department of Medical Microbiology, Onze Lieve Vrouwe Gasthuis General Hospital, Amsterdam, The Netherlands.
I Putu Yuda HanantaPublic Health Laboratory, Cluster of Infectious Diseases, Health Service of Amsterdam, Amsterdam, The Netherlands Department of Dermatology, Faculty of Medicine, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Rob SchuurmanDepartment of Medical Microbiology, University Medical Centre Utrecht, Utrecht, The Netherlands.
Johannes G KustersDepartment of Medical Microbiology, University Medical Centre Utrecht, Utrecht, The Netherlands.
Rob J RentenaarDepartment of Medical Microbiology, University Medical Centre Utrecht, Utrecht, The Netherlands rrentenaar@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification ofNeisseria gonorrhoeaeby the Bruker matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) system may be affected by "B consistency categorization." A supplementary database of 17N. gonorrhoeaemain spectra was constructed. Twelve of 64N. gonorrhoeaeidentifications were categorized with B consistency, which disappeared using the supplementary database. Database extension did not result in misidentification ofNeisseria meningitidis.

Indexed as

Databases as TopicComputational BiologyFemaleHumansMaleNeisseria gonorrhoeaeSpectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization

Identifiers

PMID26763972
PMCPMC4809926

What OpenQuestion holds

Textmetadata
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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.