Evidence map›Paper›PMID 27335148›Full record

ArticleJournal of clinical microbiology2016

Duplex Quantitative PCR Assay for Detection of Haemophilus influenzae That Distinguishes Fucose- and Protein D-Negative Strains.

Camilla de Gier, Janessa L Pickering, Peter C Richmond, Ruth B Thornton, Lea-Ann S Kirkham

Abstract read
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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Differences in Pneumococcal andFrontiers in immunology · 2021
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  10. ERJ open research · 2020
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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

5 authors.

Camilla de GierSchool of Paediatrics and Child Health, University of Western Australia, Perth, Australia.
Janessa L PickeringSchool of Paediatrics and Child Health, University of Western Australia, Perth, Australia Wesfarmers Centre for Vaccines and Infectious Diseases, Telethon Kids Institute, Perth, Australia.
Peter C RichmondSchool of Paediatrics and Child Health, University of Western Australia, Perth, Australia Wesfarmers Centre for Vaccines and Infectious Diseases, Telethon Kids Institute, Perth, Australia Department of Paediatrics, Princess Margaret Hospital for Children, Subiaco, Australia.
Ruth B ThorntonSchool of Paediatrics and Child Health, University of Western Australia, Perth, Australia Wesfarmers Centre for Vaccines and Infectious Diseases, Telethon Kids Institute, Perth, Australia.
Lea-Ann S KirkhamSchool of Paediatrics and Child Health, University of Western Australia, Perth, Australia Wesfarmers Centre for Vaccines and Infectious Diseases, Telethon Kids Institute, Perth, Australia lea-ann.kirkham@uwa.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We have developed a specific Haemophilus influenzae quantitative PCR (qPCR) that also identifies fucose-negative and protein D-negative strains. Analysis of 100 H. influenzae isolates, 28 Haemophilus haemolyticus isolates, and 14 other bacterial species revealed 100% sensitivity (95% confidence interval [CI], 96% to 100%) and 100% specificity (95% CI, 92% to 100%) for this assay. The evaluation of 80 clinical specimens demonstrated a strong correlation between semiquantitative culture and the qPCR (P < 0.001).

Indexed as

Bacterial ProteinsCarrier ProteinsFucoseHaemophilus influenzaeHumansImmunoglobulin DLipoproteinsMultiplex Polymerase Chain ReactionReal-Time Polymerase Chain ReactionSensitivity and SpecificityBacterial ProteinsCarrier ProteinsFucoseglpQ protein, Haemophilus influenzaeImmunoglobulin DLipoproteins

Identifiers

PMID27335148
PMCPMC5005495

What OpenQuestion holds

Textmetadata
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.