Evidence map›Paper›PMID 30814262›Full record

ArticleJournal of clinical microbiology2019

Use of FTA Cards To Transport Throat Swabs and Oral Fluid Samples for Molecular Detection and Genotyping of Measles and Rubella Viruses.

Bettina Bankamp, Carolyn Sein, Elisabeth Pukuta Simbu, Raydel Anderson, Emily Abernathy, Min-Hsin Chen, Jean-Jacques Muyembe Tamfum, Kathleen A Wannemuehler, Diane Waku-Kouomou, Elena N Lopareva and 3 more

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Usage of FTAMicroorganisms · 2022
    Article
  8. Article
  9. Expansion of the measles and rubella laboratory network, India.Bulletin of the World Health Organization · 2022
    Article
  10. 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

13 authors.

Bettina BankampDivision of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA bbankamp@cdc.gov.
Carolyn SeinGlobal Immunization Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Elisabeth Pukuta SimbuInstitut National de Recherche Biomédicale, Kinshasa, The Democratic Republic of the Congo.
Raydel AndersonDivision of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Emily AbernathyDivision of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Min-Hsin ChenDivision of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Jean-Jacques Muyembe TamfumInstitut National de Recherche Biomédicale, Kinshasa, The Democratic Republic of the Congo.
Kathleen A WannemuehlerGlobal Immunization Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Diane Waku-KouomouDivision of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Elena N LoparevaDivision of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Joseph P IcenogleDivision of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Paul A RotaDivision of Viral Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
James L GoodsonGlobal Immunization Division, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genetic characterization of measles viruses is an important tool for measles surveillance. Reverse cold chain requirements for the transportation of samples to reference laboratories are challenging in resource-limited settings. FTA cards facilitate the transport of virologic samples at ambient temperature as noninfectious material; however, the utility of FTA cards for the detection and genotyping of measles virus from clinical samples has not been evaluated. Throat swabs (TS) and oral fluid (OF) samples were collected from suspected measles cases in the Democratic Republic of the Congo. Virus detection (reverse transcription-quantitative real-time PCR [RT-qPCR]) and genotyping (endpoint RT-PCR) were compared for samples from 238 suspected cases; these samples were either transported using the reverse cold chain or at ambient temperature on FTA cards. Virus detection showed excellent positive agreement for OF samples compared to TS (95.3%; confidence interval [CI], 91.6 to 97.4), in contrast to 79.4% (CI, 73.5 to 84.3) for TS on FTA, and 85.5% (CI, 80.2 to 89.6) for OF on FTA compared to OF samples. Genotyping results obtained for a subset of samples indicated that 77.3% of all TS and 71.0% of OF samples would produce genotype information compared to 41.6% of TS and 41.3% of OF on FTA cards. Similar results were found for 16 measles-negative samples that were confirmed as rubella cases. Measles genotype B3 and rubella genotype 2B were detected. FTA cards have limited utility for virologic surveillance of sporadic cases of measles; however, they can be a useful tool for the expansion of virologic surveillance in countries where the reverse cold chain is not available.

Indexed as

Democratic Republic of the CongoGenotypeGenotyping TechniquesHumansMeaslesMeasles virusMolecular Diagnostic TechniquesMouthPharynxRefrigerationRNA, ViralRubellaRubella virusSalivaSpecimen HandlingRNA, ViralFTA cardsgenotypingmeasles virusrubella virussample transport

Identifiers

PMID30814262
PMCPMC6497998

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.