Evidence map›Paper›PMID 35127802›Full record

ArticleFrontiers in surgery2021

Early Warning Models to Predict the 90-Day Urinary Tract Infection Risk After Radical Cystectomy and Urinary Diversion for Patients With Bladder Cancer.

Xun Lu, Hua Jiang, Dong Wang, Yiduo Wang, Qi Chen, Shuqiu Chen, Ming Chen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Xun LuDepartment of Urology, Affiliated Zhongda Hospital of Southeast University, Nanjing, China.
Hua JiangDepartment of Urology, Affiliated Zhongda Hospital of Southeast University, Nanjing, China.
Dong WangDepartment of Urology, Affiliated Zhongda Hospital of Southeast University, Nanjing, China.
Yiduo WangDepartment of Urology, Affiliated Zhongda Hospital of Southeast University, Nanjing, China.
Qi ChenSurgical Research Center, Institute of Urology, School of Medicine, Southeast University, Nanjing, China.
Shuqiu ChenDepartment of Urology, Affiliated Zhongda Hospital of Southeast University, Nanjing, China.
Ming ChenDepartment of Urology, Affiliated Zhongda Hospital of Southeast University, Nanjing, China.
Zhongda Hospital Southeast University · CNSoutheast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo develop and validate a nomogram of the 90-day urinary tract infection (UTI) risk for patients with bladder cancer undergoing radical cystectomy (RC) and urinary diversion. PATIENTS AND

methodsThe predictive nomogram was based on a retrospective study on the consecutive patients who underwent RC and urinary diversion for bladder cancer between January 2014 and March 2021. The incidence and microbiology of UTI were reported. The univariate and multivariate logistic analyses were conducted to determine independent risk factors associated with UTI. The predictive accuracy and discriminatory ability of the established nomogram were evaluated by the concordance index (C-index) and decision curve analysis (DCA). The performance of the model was validated internally.

resultsA total of 220 patients were included and the incidence of UTI within 90 days was 27.3%. The most commonly identified pathogens were

conclusionThe proposed early warning model shows great accuracy in predicting the incidence of 90-day UTI after RC and urinary diversion in patients with bladder cancer.

Indexed as

nomogramprognostic nutritional indexrisk factorurinary diversionurinary tract infection

Identifiers

PMID35127802
PMCPMC8814316
OpenAlexW4206643518

What OpenQuestion holds

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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.