Evidence map›Paper›PMID 29460728›Full record

ArticleEmerging infectious diseases2018

Capsule Typing of Haemophilus influenzae by Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry.

Viktor Månsson, Janet R Gilsdorf, Gunnar Kahlmeter, Mogens Kilian, J Simon Kroll, Kristian Riesbeck, Fredrik Resman

Abstract read
In one paragraph

Article in Emerging infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Atypical presentation of right-sided native valve infective endocarditis.Journal of the Association of Medical Microbiology and Infectious Disease Canada = Journal officiel de l'Association pour la microbiologie medicale et l'infectiologie Canada · 2021
    Article
  5. Article
  6. 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

7 authors.

Viktor Månsson
Janet R Gilsdorf
Gunnar Kahlmeter
Mogens Kilian
J Simon Kroll
Kristian Riesbeck
Fredrik Resman

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Encapsulated Haemophilus influenzae strains belong to type-specific genetic lineages. Reliable capsule typing requires PCR, but a more efficient method would be useful. We evaluated capsule typing by using matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry. Isolates of all capsule types (a-f and nontypeable; n = 258) and isogenic capsule transformants (types a-d) were investigated. Principal component and biomarker analyses of mass spectra showed clustering, and mass peaks correlated with capsule type-specific genetic lineages. We used 31 selected isolates to construct a capsule typing database. Validation with the remaining isolates (n = 227) showed 100% sensitivity and 92.2% specificity for encapsulated strains (a-f; n = 61). Blinded validation of a supplemented database (n = 50) using clinical isolates (n = 126) showed 100% sensitivity and 100% specificity for encapsulated strains (b, e, and f; n = 28). MALDI-TOF mass spectrometry is an accurate method for capsule typing of H. influenzae.

Indexed as

Bacterial CapsulesBacterial Typing TechniquesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationEvolution, MolecularGenetic LinkageHaemophilus InfectionsHaemophilus influenzaeMultilocus Sequence TypingPolymerase Chain ReactionReproducibility of ResultsSensitivity and Specificitybacteriabacterial capsulesbacterial typingcapsule typingepidemiologyHaemophilus influenzaeMALDI-TOF mass spectrometrymatrix-assisted laser desorption/ionization mass spectrometryrespiratory infectionsserotypingSwedenvaccines

Identifiers

PMID29460728
PMCPMC5823330

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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.