Evidence map›Paper›PMID 35955994›Full record

ArticleJournal of clinical medicine2022

Characteristics of Computed Tomography for Identifying Patients at High Risk of Endogenous Endophthalmitis Due to

Jae Jung Lee, Seung Baek Hong, Nam Kyung Lee, Young Joo Park, So Hee Kim, Sung Who Park, Iksoo Byon, Suk Kim

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. 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
0.6field-weighted citation impact, top 33% 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, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

8 authors at 1 institution in 1 country.

Jae Jung LeeDepartment of Ophthalmology, Biomedical Research Institute, Pusan National University Hospital, School of Medicine, Pusan National University, Pusan 46241, Korea.ORCID 0000-0003-1924-9482
Seung Baek HongDepartment of Radiology, Biomedical Research Institute, Pusan National University Hospital, School of Medicine, Pusan National University, Pusan 46241, Korea.ORCID 0000-0002-1731-0430
Nam Kyung LeeDepartment of Radiology, Biomedical Research Institute, Pusan National University Hospital, School of Medicine, Pusan National University, Pusan 46241, Korea.
Young Joo ParkDepartment of Internal Medicine, Biomedical Research Institute, Pusan National University Hospital, School of Medicine, Pusan National University, Pusan 46241, Korea.
So Hee KimDepartment of Ophthalmology, Biomedical Research Institute, Pusan National University Hospital, School of Medicine, Pusan National University, Pusan 46241, Korea.
Sung Who ParkDepartment of Ophthalmology, Biomedical Research Institute, Pusan National University Hospital, School of Medicine, Pusan National University, Pusan 46241, Korea.ORCID 0000-0002-9186-2081
Iksoo ByonDepartment of Ophthalmology, Biomedical Research Institute, Pusan National University Hospital, School of Medicine, Pusan National University, Pusan 46241, Korea.
Suk KimDepartment of Radiology, Biomedical Research Institute, Pusan National University Hospital, School of Medicine, Pusan National University, Pusan 46241, Korea.
Pusan National University Hospital · KR

Funding

Biomedical Research Institute Grant, Pusan National University Hospital 20200025
6 · The paper itself

Abstract

Endogenous endophthalmitis (EE) associated with Klebsiella pneumoniae (K. pneumoniae)-related pyogenic liver abscess (PLA) is one of the fatal complications of PLA and leads to loss of vision. Early diagnosis and treatment are important to save the patient’s vision. We investigated the characteristics of computed tomography (CT) in EE associated with K. pneumoniae-related PLA for the identification of the predictors of EE, in order to facilitate early diagnosis. A total of 274 patients diagnosed with K. pneumoniae-related PLA, including 15 patients with EE, were identified between January 2005 and December 2019. The clinical (age, gender, and underlying disease) and radiologic (the location, size, and number of abscesses) features were reviewed. In addition, the involvement of the adjacent vessels, such as the hepatic vein and portal vein, was carefully reviewed. A comparative analysis was performed between the EE and non-EE groups. Uni- and multivariate logistic regression analyses were used to identify the predictors of EE. Diabetes mellitus (DM), the involvement of the left or both hepatic lobes, and the adjacent vessels on the CT were significantly more frequent than those in the non-EE group (p < 0.05 in all), and they were the significant predictors of EE in the logistic regression analyses. In patients with K. pneumoniae-related PLA, the CT findings, such as the locations of the abscess (i.e., left or both lobes) and the involvement of the adjacent vessels, should be considered in addition to the ocular symptoms for an early diagnosis of EE.

Indexed as

computed tomographydiabetes mellitusendogenous endophthalmitisKlebsiella pneumoniaeliver abscess

Identifiers

PMID35955994
PMCPMC9369040
OpenAlexW4288442920

What OpenQuestion holds

Textmetadata
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.