Evidence map›Paper›PMID 33087431›Full record

ArticleJournal of clinical microbiology2020

Evaluation of Pneumococcal Serotyping of Nasopharyngeal-Carriage Isolates by Latex Agglutination, Whole-Genome Sequencing (PneumoCaT), and DNA Microarray in a High-Pneumococcal-Carriage-Prevalence Population in Malawi.

Todd D Swarthout, Andrea Gori, Naor Bar-Zeev, Arox W Kamng'ona, Thandie S Mwalukomo, Farouck Bonomali, Roseline Nyirenda, Comfort Brown, Jacquline Msefula, Dean Everett and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
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  4. Fourier transform infrared spectroscopy forFrontiers in microbiology · 2024
    Article
  5. Article
  6. The Molecular Approaches and Challenges ofPolish journal of microbiology · 2023
    Review
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  8. Observational
  9. Article
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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

15 authors at 7 institutions in 3 countries.

Todd D Swarthout *Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi t.swarthout@ucl.ac.uk.ORCID 0000-0001-5285-7039
Andrea Gori *NIHR Global Health Research Unit on Mucosal Pathogens, Division of Infection and Immunity, University College London, London, United Kingdom.ORCID 0000-0003-0931-0454
Naor Bar-ZeevMalawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi.
Arox W Kamng'onaDepartment of Biomedical Sciences, College of Medicine, University of Malawi, Blantyre, Malawi.ORCID 0000-0002-0841-7586
Thandie S MwalukomoDepartment of Medicine, College of Medicine, University of Malawi, Blantyre, Malawi.
Farouck BonomaliMalawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi.
Roseline NyirendaMalawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi.
Comfort BrownMalawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi.
Jacquline MsefulaMalawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi.
Dean EverettThe Queens Medical Research Institute, University of Edinburgh, Edinburgh, Scotland.
Charles MwansamboMinistry of Health, Lilongwe, Malawi.
Katherine GouldInstitute for Infection and Immunity, St. George's, University of London, London, United Kingdom.ORCID 0000-0002-2528-9512
Jason HindsInstitute for Infection and Immunity, St. George's, University of London, London, United Kingdom.
Robert S Heyderman *Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi.ORCID 0000-0003-4573-449X
Neil French *Malawi-Liverpool-Wellcome Trust Clinical Research Programme, Blantyre, Malawi.
University of Liverpool · GBSt George's, University of London · GBUniversity of Malawi · MWJohns Hopkins University · USMinistry of Health · MWThe Queen's Medical Research Institute · GBUniversity College London · GB

Funding

Department of HealthMedical Research Council MR/N023129/1Wellcome TrustWellcome Trust 106846/Z/15/ZWellcome Trust 206545/Z/17/Z
6 · The paper itself

Abstract

Accurate assessment of the serotype distribution associated with pneumococcal colonization and disease is essential for evaluating and formulating pneumococcal vaccines and for informing vaccine policy. For this reason, we evaluated the concordance between pneumococcal serotyping results by latex agglutination, whole-genome sequencing (WGS) with PneumoCaT, and DNA microarray for samples from community carriage surveillance in Blantyre, Malawi. Nasopharyngeal swabs were collected according to WHO recommendations between 2015 and 2017 by using stratified random sampling among study populations. Participants included healthy children 3 to 6 years old (vaccinated with the 13-valent pneumococcal conjugate vaccine [PCV13] as part of the Expanded Program on Immunization [EPI]), healthy children 5 to 10 years old (age-ineligible for PCV13), and HIV-infected adults (18 to 40 years old) on antiretroviral therapy (ART). For phenotypic serotyping, we used a 13-valent latex kit (Statens Serum Institut [SSI], Denmark). For genomic serotyping, we applied the PneumoCaT pipeline to whole-genome sequence libraries. For molecular serotyping by microarray, we used the BUGS Bioscience Senti-SP microarray. A total of 1,347 samples were analyzed. Concordance was 90.7% (95% confidence interval [CI], 89.0 to 92.2%) between latex agglutination and PneumoCaT, 95.2% (95% CI, 93.9 to 96.3%) between latex agglutination and the microarray, and 96.6% (95% CI, 95.5 to 97.5%) between the microarray and PneumoCaT. By detecting additional vaccine serotype (VT) pneumococci carried at low relative abundances (median, 8%), the microarray increased VT detection by 31.5% over that by latex serotyping. To conclude, all three serotyping methods were highly concordant in identifying dominant serotypes. Latex serotyping is accurate in identifying vaccine serotypes and requires the least expertise and resources for field implementation and analysis. However, WGS, which adds population structure, and microarray, which adds multiple-serotype carriage, should be considered at regional reference laboratories for investigating the importance of vaccine serotypes at low relative abundances in transmission and disease.

Indexed as

Latex Fixation TestsPneumococcal InfectionsAdolescentAdultCarrier StateChildChild, PreschoolCross-Sectional StudiesHumansInfantMalawiNasopharynxOligonucleotide Array Sequence AnalysisPneumococcal VaccinesPrevalenceSerotypingPneumococcal VaccinesAfricalatex agglutinationmethodologymicroarrayserotypingStreptococcus pneumoniaewhole-genome sequencing

Identifiers

PMID33087431
PMCPMC7771446
OpenAlexW3094286739

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.