Evidence mapPaperPMID 40510484Full record

ArticleFrontiers in endocrinology2025

Analysis of pathogen distribution and serum procalcitonin level alterations in patients with type 2 diabetes mellitus complicated by urinary tract infections.

Yuan Pu, Yirong Teng, Yinghua Li, Yunchun Zhou, Ming Gao, Xianglan Chen, Zilin Yan, Xia Li, Rong Wei, Zhaowei Teng

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. 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
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.

  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

10 authors.

Yuan PuDepartment of General Medicine, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi, China.
Yirong TengDepartment of General Medicine, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi, China.
Yinghua LiDepartment of General Medicine, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi, China.
Yunchun ZhouDepartment of General Medicine, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi, China.
Ming GaoDepartment of General Medicine, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi, China.
Xianglan ChenDepartment of Scientific Research Management, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi, China.
Zilin YanDepartment of General Medicine, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi, China.
Xia LiDepartment of Endocrinology and Metabolism, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi, China.
Rong WeiDepartment of General Medicine, The Sixth Affiliated Hospital of Kunming Medical University, Yuxi, China.
Zhaowei TengDepartment of Center Laboratory, The Second Affiliated Hospital of Kunming Medical University, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the distribution and antibiotic resistance of pathogens in patients with Type 2 Diabetes Mellitus (T2DM) complicated by Urinary Tract Infections (UTIs), and to explore the value of serum Procalcitonin (PCT) level alterations in the diagnosis and assessment of disease severity in these patients. Methods: This retrospective analysis included 100 patients with T2DM complicated by UTIs admitted to the Sixth Affiliated Hospital of Kunming Medical University between January 2021 and August 2024, who constituted the Infection group. A control group, the T2DM group, consisted of 100 patients with T2DM without UTIs. Key demographic data were retrospectively analyzed and evaluated. Bacterial isolation and identification, along with antimicrobial susceptibility testing using an automated analyzer, were performed to determine the distribution and antimicrobial resistance profiles of the isolated pathogens. Serum PCT levels were measured using electrochemiluminescence immunoassay. Receiver Operating Characteristic (ROC) curve analysis was used to evaluate the diagnostic value of PCT for T2DM complicated by UTIs. The optimal cutoff value was calculated using the Youden index derived from the ROC curve. Results: 146 pathogenic strains were isolated from the 200 submitted specimens. Gram-negative bacteria accounted for 66.44% (n=97), Gram-positive bacteria for 14.38% (n=21), and fungi for 19.18% (n=28). Conclusion:

Indexed as

Diabetes Mellitus, Type 2ProcalcitoninUrinary Tract InfectionsAgedAnti-Bacterial AgentsBiomarkersFemaleHumansMaleMicrobial Sensitivity TestsMiddle AgedRetrospective StudiesROC CurveAnti-Bacterial AgentsBiomarkersProcalcitoninantibiotic resistancepathogensprocalcitonintype 2 diabetesurinary tract infection

Identifiers

PMID40510484
PMCPMC12158734

What Socratic 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 Socratic graph.