Evidence map›Paper›PMID 38332777›Full record

ArticleFujita medical journal2024

Retrospective analysis of urinary tract infections in long-term care facilities in Japan: Insights from physical examination-based diagnosis.

Makoto Hasegawa, Yasuhiro Osugi, Yoshifumi Moriwaki, Yohei Doi

Open access · greenAbstract read
In one paragraph

Article in Fujita medical journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 93% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Makoto HasegawaDepartment of General Medicine, Toyota Regional Medical Center, Toyota, Aichi, Japan.
Yasuhiro OsugiDepartment of General Medicine, Toyota Regional Medical Center, Toyota, Aichi, Japan.
Yoshifumi MoriwakiDepartment of General Medicine, Toyota Regional Medical Center, Toyota, Aichi, Japan.
Yohei DoiDepartment of Microbiology, Fujita Health University, School of Medicine, Toyoake, Aichi, Japan.
Toyota Group (Japan) · JPFujita Health University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Multidrug-resistant (MDR) bacterial infections are highly prevalent among long-term care facility (LTCF) residents, and are thus important targets for antimicrobial stewardship. Diagnoses of urinary tract infections (UTIs), which are associated with antimicrobial use in these facilities, are not always made by physicians. Past epidemiologic studies have included asymptomatic bacteriuria together with UTIs. The National Healthcare Safety Network has initiated a surveillance program to identify the causative organisms of UTIs in LTCF residents. In Japan, medical care for these residents is provided through in-person physician visits; however, limited related data are available. Therefore, we investigated the organisms causing UTIs and their drug susceptibility among LTCF residents in central Japan, and examined the prevalence of multidrug resistance, its risk factors, and correlations with clinical outcomes. Methods: We retrospectively evaluated clinical and urine culture data of LTCF residents with physician-diagnosed UTIs between April 1, 2019, and April 30, 2022. Results: The detection rate of multidrug-resistant organisms was high, with Conclusions: Antimicrobial stewardship is essential for reducing antimicrobial use and selective pressure in LTCFs in Japan; however, more specific data are needed for its effective implementation.

Indexed as

Antimicrobial stewardshipCeftriaxoneFebrileMultidrug resistanceUrinary tract infection

Identifiers

PMID38332777
PMCPMC10847634
OpenAlexW4394753884

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LicenceCC BY
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Registered trials

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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.