Evidence map›Paper›PMID 40535636›Full record

ArticleAmerican journal of translational research2025

Pathogen distribution and risk factors of positive stone culture for patients with upper urinary tract stone.

Yu Cao, Hui Cao

Abstract read
In one paragraph

Article in American journal of translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

No citing paper in PubMed yet.

4 · The record

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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

2 authors.

Yu CaoNingxiang Hospital, Hunan University of Traditional Chinese Medicine Ningxiang, Changsha, Hunan, China.
Hui CaoHealth Care Department, First Hospital of Changsha Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUpper urinary tract stones are often complicated by perioperative infections. Bacterial culture analysis of calculi can reveal pathogen distribution on stone surfaces and help identify risk factors for positive culture outcomes, aiding in infection control.

methodsA retrospective analysis was conducted on 173 patients with upper urinary tract stones who underwent holmium laser lithotripsy. Clinical characteristics potentially influencing positive stone cultures were collected and used to establish a binary logistic regression model for identifying risk factors. Additionally, the correlation between positive stone cultures and postoperative infection markers was analyzed.

resultsAmong the 173 patients, 44 had positive stone cultures, and 47 pathogen strains were detected. Forty-six patients had positive urine cultures, with 49 pathogen strains identified. The main pathogens in stone cultures were

conclusion

Indexed as

pathogen distributionrisk factorsstone cultureUpper urinary tract stonesurine culture

Identifiers

PMID40535636
PMCPMC12170424

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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.