Evidence map›Paper›PMID 39737419›Full record

ArticleInternational journal of women's health2024

Risk Factors of Catheter-Associated Urinary Tract Infections Following Radical Hysterectomy for Cervical Cancer: A Propensity Score Matching-Based Study.

Min Zhou, Hui Li, Xiuxia Geng, Huihua Dai, Zhanjie Li

Abstract read
In one paragraph

Article in International journal of women's health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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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.

Min Zhou *Department of Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, People's Republic of China.
Hui Li *Department of Medicine, Taixing People's Hospital, Taizhou, Jiangsu, 225400, People's Republic of China.
Xiuxia GengDepartment of Infection Management, Taizhou Fourth People's Hospital, Taizhou, Jiangsu, 225300, People's Republic of China.
Huihua DaiDepartment of Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, People's Republic of China.
Zhanjie LiDepartment of Infection Control, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aims to examine the risk factors for catheter-associated urinary tract infection (CAUTI) following radical hysterectomy for cervical cancer (CC). Furthermore, the study seeks to develop a visual model that can effectively assist physicians in improving their proficiency in diagnosing, treating, and preventing CAUTIs. Patients and Methods: 48 subjects who developed CAUTI postoperatively were assigned to the infection group. There were 443 cases who did not develop CAUTI, and a 1:1 propensity score matching (PSM) method was employed to match 48 cases for the non-infection group. Univariate logistic and multivariate stepwise regression analyses were used to analyze the risk factors for CAUTI following radical hysterectomy for CC. Subsequently, a nomogram-based model was developed, and its effectiveness was comprehensively assessed. Results: The incidence rate of CAUTI in 491 patients who underwent radical hysterectomy for CC was 9.76% (48/491). Multivariate stepwise regression analysis revealed that the duration of urinary catheterization, urinary leukocyte esterase, and positive urine culture were the independent risk factors for CAUTI after radical hysterectomy for CC (all β > 0, Conclusion: The duration of urinary catheterization, urinary leukocyte esterase, and positive urine culture are independent risk factors for CAUTI after radical hysterectomy for CC. This nomogram-based model exhibits numerous advantages, including simplicity, user-friendliness, high diagnostic accuracy, and significant clinical value, which can provide assistance in early clinical diagnosis decision-making.

Indexed as

hysterectomypropensity scorerisk factorsurinary tract infectionsuterine cervical neoplasms

Identifiers

PMID39737419
PMCPMC11682942

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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.