Evidence map›Paper›PMID 22875895›Full record

ArticleJournal of clinical microbiology2012

Rapid and easy identification of capsular serotypes of Streptococcus pneumoniae by use of fragment analysis by automated fluorescence-based capillary electrophoresis.

Laura Selva, Eva del Amo, Pedro Brotons, Carmen Muñoz-Almagro

Abstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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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

4 authors.

Laura SelvaMolecular Microbiology Department, University Hospital Sant Joan de Déu, Barcelona, Spain.
Eva del Amo
Pedro Brotons
Carmen Muñoz-Almagro

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to develop a high-throughput method for the identification of pneumococcal capsular types. Multiplex PCR combined with fragment analysis and automated fluorescent capillary electrophoresis (FAF-mPCR) was utilized. FAF-mPCR was composed of only 3 PCRs for the specific detection of serotypes 1, 2, 3, 4, 5, 6A/6B, 6C, 7F/7A, 7C/(7B/40), 8, 9V/9A, 9N/9L, 10A, 10F/(10C/33C), 11A/11D/11F, 12F/(12A/44/46), 13, 14, 15A/15F, 15B/15C, 16F, 17F, 18/(18A/18B/18C/18F), 19A, 19F, 20, 21, 22F/22A, 23A, 23B, 23F, 24/(24A/24B/24F), 31, 33F/(33A/37), 34, 35A/(35C/42), 35B, 35F/47F, 38/25F, and 39. In order to evaluate the assay, all invasive pneumococcal isolates (n = 394) characterized at Hospital Sant Joan de Déu, Barcelona, Spain, from July 2010 to July 2011 were included in this study. The Wallace coefficient was used to evaluate the overall agreement between two typing methods (Quellung reaction versus FAF-mPCR). A high concordance with Quellung was found: 97.2% (383/394) of samples. The Wallace coefficient was 0.981 (range, 0.965 to 0.997). Only 11 results were discordant with the Quellung reaction. However, latex reaction and Quellung results of the second reference laboratory agreed with FAF-mPCR for 9 of these 11 strains (82%). Therefore, we considered that only 2 of 394 strains (0.5%) were not properly characterized by the new assay. The automation of the process allowed the typing of 30 isolates in a few hours with a lower cost than that of the Quellung reaction. These results indicate that FAF-mPCR is a good method to determine the capsular serotype of Streptococcus pneumoniae.

Indexed as

Automation, LaboratoryElectrophoresis, CapillaryFluorescenceHumansMolecular TypingPneumococcal InfectionsSensitivity and SpecificitySerotypingSpainStreptococcus pneumoniae

Identifiers

PMID22875895
PMCPMC3486242

What OpenQuestion holds

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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.