Evidence map›Paper›PMID 34371546›Full record

ArticleZhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology2021

[Pathogenic bacteria characteristics and antimicrobial treatment plan for liver cirrhosis combined with spontaneous bacterial peritonitis].

S M Li, J Liu, X Zheng

Open access · greenAbstract read
In one paragraph

Article in Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology, 2021. 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 87% 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, 0 citations in OpenAlex.

  1. Article
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

3 authors at 1 institution in 1 country.

S M LiDepartment of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
J LiuDepartment of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
X ZhengDepartment of Infectious Diseases, Institute of Infection and Immunology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Wuhan Union Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spontaneous bacterial peritonitis (SBP) is a common complication in patients with liver cirrhosis, and it is also an important inducement for patients with liver cirrhosis to develop into an acute decompensated stage, and thereby has become the concern and difficulties of clinical treatment. SBP pathogenic bacteria varies with time and region, and the confirmed detection rate of Gram-positive bacteria and multidrug-resistant bacteria has been increasing year by year. Therefore, whether the antimicrobial treatment plan based on the previous guidelines is still applicable remains to be further explored. This paper focuses on introducing the pathogenic bacteria characteristics for cirrhosis combined with SBP in different study populations, different regions, different time, and different infection modes, and further summarizes empirical antimicrobial treatment plan according to the changes of SBP pathogenic bacteria, in order to provide theoretical basis for clinical treatment.

Indexed as

Bacterial InfectionsPeritonitisAnti-Bacterial AgentsBacteriaHumansLiver CirrhosisAnti-Bacterial AgentsAntimicrobial strategiesLiver cirrhosisMultidrug-resistant bacteriaSpontaneous bacterial peritonitis

Identifiers

PMID34371546
PMCPMC12814108
OpenAlexW3190642659

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.