Evidence map›Paper›PMID 26048695›Full record

ArticleBioMedicine2015

The medical diagnostic approaches with phylogenetic analysis for rare Brucella spp. diagnosis in Taiwan.

Ni Tien, Yun-Ju Sung, Yi-Chih Chang, Bang-Jau You, Michelle Liang, Yun-Ping Lim, Wen-Yu Ho, Hsiu-Shen Lin, Mao-Wang Ho, Chen-Mao Ho and 2 more

Open access · diamondAbstract read
In one paragraph

Article in BioMedicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.2field-weighted citation impact, top 10% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

12 authors at 3 institutions in 3 countries.

Ni TienDepartment of Laboratory Medicine, China Medical University Hospital, 404, Taichung, Taiwan.
Yun-Ju Sung
Yi-Chih Chang
Bang-Jau You
Michelle Liang
Yun-Ping Lim
Wen-Yu Ho
Hsiu-Shen Lin
Mao-Wang Ho
Chen-Mao Ho
Chao-Chin Chang
Yu-Ching Lan
China Medical University · CNNational Taipei University · TWUCLA Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brucellosis is a bacterial zoonotic disease which can be easy to misdiagnose in clinical microbiology laboratories. In the present study, we have tried to improve the current clinical method for detecting Brucella spp. and its antibiotic characteristics. Our method begins with detecting the clinical isolate through traditional biochemical methods and automatic identification systems. Then, we move on to editing the sequence for BLAST allows us to compare 16s rRNA sequences with sequences from other species, allowing the gene level to be determined. Next, the phylogenetic analysis of multiple genetic loci is able to determine the evolutionary relationships between our bacteria strain and those from other locations. Finally, an anti-microbial susceptibility test hones in on the level of antibacterial activity that the bacteria displays. Employing these four steps in concert is extremely effective in identifying rare bacteria. Thus, when attempting to determine the identity of rare bacteria such as Brucella, utilizing these four steps from our research should be highly effective and ultimately prevent further identification errors and misdiagnoses. The standards we have suggested to identify rare bacteria strains is applicable not only to Brucella, but also to other rarely encountered bacteria.

Identifiers

PMID26048695
PMCPMC4502044
OpenAlexW611429865

What OpenQuestion holds

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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.