Evidence map›Paper›PMID 36483144›Full record

ArticleInfection and drug resistance2022

Clinical Characteristics of 606 Patients with Community-Acquired Pyogenic Liver Abscess: A Six-Year Research in Yantai.

Hong-Xia Yu, Guo-Shuai Lin, Ji-Fan Zhang, Cong-Cong Wang, Xiang-Jun Long, Mao-Mao Zhao

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

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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

3 citing papers in PubMed, 9 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

6 authors at 2 institutions in 1 country.

Hong-Xia Yu *Department of Infection, Yuhuangding Hospital, Yantai, People's Republic of China.
Guo-Shuai Lin *Department of Infection, Yuhuangding Hospital, Yantai, People's Republic of China.
Ji-Fan ZhangDepartment of Critical Care Medicine, Liaocheng People's Hospital, Liaocheng, People's Republic of China.
Cong-Cong WangDepartment of Infection, Yuhuangding Hospital, Yantai, People's Republic of China.
Xiang-Jun LongDepartment of Infection, Yuhuangding Hospital, Yantai, People's Republic of China.
Mao-Mao ZhaoDepartment of Infection, Yuhuangding Hospital, Yantai, People's Republic of China.
Yuhuangding Hospital · CNLiaocheng People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study was designed to analyze the clinical characteristics, etiological characteristics, drug resistance, and empirical use of antibiotics for community-acquired pyogenic liver abscess (PLA) to provide a basis for rational and effective empirical treatment of PLA in the local area. Methods: The clinical data, etiological characteristics, drug resistance, and empirical anti-infective therapy schemes of 606 patients with PLA were collected and analyzed retrospectively. Results: The included patients were mainly males, with a male-to-female ratio of 1.3:1. The average age of the patients was 60.3 ± 14.1 years. The underlying diseases were diabetes and biliary tract disease, accounting for 38.7% and 22.3%, respectively. The main clinical manifestations were fever (92.9%), abdominal pain (44.7%), and nausea (33.3%). Imaging findings: the proportion of patients with a single lesion was 74.7%, and 67% of the patients had involvement in the right lobe of the liver. The main pathogen was Conclusion: Patients with community-acquired PLA in this area are mainly males, and the underlying diseases are mainly diabetes and hepatobiliary system disease. The main clinical manifestation is fever, so patients with fever of unknown cause should pay attention to possible liver abscesses. Based on drug sensitivity tests, the empirical use of antibiotics is somewhat unreasonable.

Indexed as

communityepidemiologicalKlebsiella pneumoniaeliver abscess

Identifiers

PMID36483144
PMCPMC9725916
OpenAlexW4311024205

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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.