Evidence map›Paper›PMID 12944554›Full record

ArticleJournal of clinical pathology2003

Gemella bacteraemia characterised by 16S ribosomal RNA gene sequencing.

P C Y Woo, S K P Lau, A M Y Fung, S K Chiu, R W H Yung, K Y Yuen

Open access · bronzeAbstract readCase Reports
In one paragraph

Article in Journal of clinical pathology, 2003. 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
2.4field-weighted citation impact, top 11% 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

29 citing papers in PubMed, 84 citations in OpenAlex.

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  18. Molecular diagnosis of bacterial infective endocarditis in tabriz, azerbaijan.Journal of cardiovascular and thoracic research · 2013
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  20. Biotransformation of puerarin into puerarin-6″-O-phosphate by Bacillus cereus.Journal of industrial microbiology & biotechnology · 2012
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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

6 authors at 3 institutions in 2 countries.

P C Y WooDepartment of Microbiology, The University of Hong Kong, University Pathology Building, Queen Mary Hospital Compound, Hong Kong.
S K P Lau
A M Y Fung
S K Chiu
R W H Yung
K Y Yuen
Pamela Youde Nethersole Eastern Hospital · CNQueen Mary Hospital · CNUniversity of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo define epidemiology, clinical disease, and outcome of gemella bacteraemia by 16S rRNA gene sequencing. To examine the usefulness of the Vitek, API, and ATB systems in identifying two gemella species.

methodsAll alpha haemolytic streptococci other than Streptococcus pneumoniae isolated from blood cultures during a six year period were identified by conventional biochemical methods, the Vitek system, and the API system. 16S rRNA gene sequencing was performed on all isolates identified by both kits as gemella with >or= 95% confidence or by either kit as any bacterial species with < 95% confidence. The ATB expression system was used to identify the two isolates that were defined as gemella species by 16S rRNA gene sequencing.

resultsOf the 302 alpha haemolytic streptococci other than S pneumoniae isolated, one was identified as Gemella morbillorum, and another as Gemella haemolysans by 16S rRNA gene sequencing. The patient with monomicrobial G morbillorum bacteraemia was a 66 year old man with community acquired infective endocarditis with septic thromboemboli. The patient with G haemolysans bacteraemia was a 41 year old woman with hospital acquired polymicrobial bacteraemia during the neutropenic period of an autologous bone marrow transplant for non-Hodgkin's lymphoma, the first case of its kind in the English literature. The API and ATB expression systems only identified the second strain as G haemolysans at 94% and 99% confidence, respectively, whereas the Vitek system identified none of the two strains correctly at > 70% confidence.

conclusionsGemella bacteraemia is uncommon. 16S rRNA gene sequencing is the method of choice for identification of gemella and gemella-like isolates.

Indexed as

AdultAgedBacteremiaBone Marrow TransplantationCross InfectionEndocarditis, BacterialFemaleHumansImmunocompromised HostMalePolymerase Chain ReactionRNA, Ribosomal, 16SSensitivity and SpecificitySequence AlignmentStaphylococcaceaeStaphylococcal InfectionsRNA, Ribosomal, 16S

Identifiers

PMID12944554
PMCPMC1770062
OpenAlexW1974967234

What OpenQuestion holds

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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.