Pathogenicity characteristics of

F Dai, X Xiang, G Duan, B Duan, X Xiao, H Chang

Open access · greenAbstract read

In one paragraph

Article in Iranian journal of veterinary research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact, top 91% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

Progress in the application of Enterococcus faecium in animal husbandry.Frontiers in cellular and infection microbiology · 2023
Review

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 2 institutions in 2 countries.

F DaiDepartment of Clinical Veterinary, College of Veterinary Medicine, Yunnan Agricultural University, Kunming, Yunnan, 650201, China.

X XiangDepartment of Clinical Veterinary, College of Veterinary Medicine, Yunnan Agricultural University, Kunming, Yunnan, 650201, China.

G DuanDepartment of Clinical Veterinary, College of Veterinary Medicine, Yunnan Agricultural University, Kunming, Yunnan, 650201, China.

B DuanAnimal Disease Prevention and Control Center of Yunnan Province, Kunming, Yunnan, 650201, China.

X XiaoDepartment of Clinical Veterinary, College of Veterinary Medicine, Yunnan Agricultural University, Kunming, Yunnan, 650201, China.

H ChangDepartment of Clinical Veterinary, College of Veterinary Medicine, Yunnan Agricultural University, Kunming, Yunnan, 650201, China.

Yunnan Agricultural University · CNYunnan Center for Disease Control And Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The death of several black bears at the black bear breeding base in Yunnan Pingbian Daweishan is a matter of concern. Multiple black bears exhibited decreased appetite or unusual waste, and some were soporific or suffered from vomiting and anhelation. In order to ascertain the cause of death, 16S rDNA gene sequencing and phylogenetic analysis was performed on bacteria isolated from tissue samples obtained from dead bears. The biochemical characteristics of the isolated bacteria were subsequently analyzed using different biochemical test systems. The bacteria can decompose glucose, but it cannot produce gas. The fermentation study of sucrose, lactose, trehalose, glycerol and mannitol yielded positive results; while it was unable to decompose urea or ODC (ornithine decarboxylase). Basic Local Alignment Search Tool (BLAST) analysis of a ~1500-bp DNA product amplified from the 16S rDNA of the bacterial isolate revealed that

Indexed as

Black bearCharacterizationEnterococcus faeciumIsolation

Identifiers

PMID30046317

PMCPMC6056144

OpenAlexW2887817934

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.