Evidence map›Paper›PMID 38784792›Full record

ArticleFrontiers in microbiology2024

The distribution and antibiotic-resistant characteristics and risk factors of pathogens associated with clinical biliary tract infection in humans.

Shayan Chen, Wenbin Lai, Xuejing Song, Jiongtang Lu, Jianxin Liang, Hao Ouyang, Weihua Zheng, Jianjun Chen, Zhenggang Yin, Huimin Li and 1 more

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

11 authors.

Shayan ChenDepartment of Laboratory Science, Binhaiwan Central Hospital of Dongguan, Guangdong, China.
Wenbin LaiDepartment of Laboratory Science, Binhaiwan Central Hospital of Dongguan, Guangdong, China.
Xuejing SongDepartment of Laboratory Science, Binhaiwan Central Hospital of Dongguan, Guangdong, China.
Jiongtang LuDepartment of Laboratory Science, Binhaiwan Central Hospital of Dongguan, Guangdong, China.
Jianxin LiangDepartment of Laboratory Science, Binhaiwan Central Hospital of Dongguan, Guangdong, China.
Hao OuyangDepartment of Laboratory Science, Binhaiwan Central Hospital of Dongguan, Guangdong, China.
Weihua ZhengDepartment of Laboratory Science, Binhaiwan Central Hospital of Dongguan, Guangdong, China.
Jianjun ChenDepartment of Laboratory Science, Binhaiwan Central Hospital of Dongguan, Guangdong, China.
Zhenggang YinDepartment of Laboratory Science, Binhaiwan Central Hospital of Dongguan, Guangdong, China.
Huimin LiDepartment of Laboratory Science, Binhaiwan Central Hospital of Dongguan, Guangdong, China.
Yong ZhouDepartment of Laboratory Science, Binhaiwan Central Hospital of Dongguan, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Biliary Infection in patients is a common and important phenomenon resulting in severe complications and high morbidity, while the distributions and drug resistance profiles of biliary bacteria and related risk factors are dynamic. This study explored the characteristics of and risk factors for biliary infection to promote the rational use of antibiotics in clinically. Methods: Bacterial identification and drug susceptibility testing were completed using the Vitek 2 Compact analysis system. The distribution and antibiotic-resistant characteristics of 3,490 strains of biliary bacteria in patients at Nankai Hospital from 2019 to 2021 were analyzed using Whonet 5.6 and SPSS 26.0 software. We then retrospectively analyzed the clinical data and risk factors associated with 2,340 strains of Gram-negative bacilli, which were divided into multidrug-resistant bacteria (1,508 cases) and non-multidrug-resistant bacteria (832 cases) by a multivariate Cox regression model. Results and discussion: A total of 3,490 pathogenic bacterial strains were isolated from bile samples, including 2,340 (67.05%) Gram-negative strains, 1,029 (29.48%) Gram-positive strains, and 109 (4.56%) fungal strains. The top five pathogenic bacteria were

Indexed as

biliary pathogensdistribution of bacteriaGram-negative bacteriamultidrug-resistant bacteriarisk factors

Identifiers

PMID38784792
PMCPMC11112516

What Socratic 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 Socratic graph.