Evidence map›Paper›PMID 39262687›Full record

ArticleInternational journal of endocrinology2024

The Development of Simple Scoring System to Predict Urinary Tract Infection (UTI) in Patients with Stroke.

In-Hui Pak, Se-Ryong Han, Chol-Ho Sin, Hyo-Song Kim, Un-Ryong Rim

Abstract read
In one paragraph

Article in International journal of endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
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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

5 authors.

In-Hui PakFaculty of Biomedical Engineering, Kim Chaek University of Technology, Pyongyang, Democratic People's Republic of Korea.
Se-Ryong HanNeurology Department, Pyongyang Medical College Hospital, Pyongyang, Democratic People's Republic of Korea.
Chol-Ho SinNeurology Department, Pyongyang Medical College Hospital, Pyongyang, Democratic People's Republic of Korea.
Hyo-Song KimChongjin Medical College Hospital, Chongjin, Democratic People's Republic of Korea.
Un-Ryong RimInstitute of Engineering, Kim Chaek University of Technology, Pyongyang, Democratic People's Republic of Korea.ORCID https://orcid.org/0000-0001-8588-1190

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urinary tract infection is a frequent problem after stroke. Although prior scoring systems for UTI after stroke have been developed, we developed a simple scoring system for all types of stroke in our own. The study was designed on retrospective data. The population includes 1496 patients with stroke who had been admitted at the Neurology Department of Pyongyang Medical College Hospital between January 2010 and August 2019. The patients were diagnosed with confirmed CT and MRI. Urinary tract infection (UTI) was diagnosed through urine culture: more than 100,100 colony-forming units per millimeter in patients with signs and symptoms. The UTI prediction scoring system was developed by means of the variables available on admission. The variables with significant difference between the non-UTI group and the UTI group were age (non-UTI versus UTI, 56.4 ± 7.2 vs. 59.0 ± 12.8;

Identifiers

PMID39262687
PMCPMC11390227

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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.