Evidence map›Paper›PMID 36565351›Full record

ArticleEuropean radiology2023

CT-based preoperative risk assessment of prolonged urine leak in patients undergoing partial nephrectomy.

Hyo Jeong Lee, Sang Youn Kim, Jeong Yeon Cho, Taek Min Kim

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Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

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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

2 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Hyo Jeong LeeDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.
Sang Youn KimDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.
Jeong Yeon ChoDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.
Taek Min KimDepartment of Radiology, Seoul National University Hospital, Seoul, Korea. kjambong@gmail.com.ORCID http://orcid.org/0000-0001-6915-8795
Seoul National University · KRSeoul National University Hospital · KR

Funding

National Research Foundation of Korea NRF-2021R1F1A1060227
6 · The paper itself

Abstract

objectivesThis study aims to evaluate risk factors of prolonged urine leak following partial nephrectomy (PN) to identify objective imaging characteristics on preoperative CT.

methodsA total of 865 patients who underwent PN and had preoperative CT and postoperative imaging were included. We set a twofold size-matched control group without urine leak, with all tumors located ≤ 4 mm to the collecting system to identify imaging parameters that increase the risk of urine leak other than tumor size and location. Four CT parameters that show the relationship of the tumor and collecting system, namely, curvilinear border length, protruding distance, margin at the interface, and pelvicalyceal contact, were analyzed. Multivariate logistic regression analyses were performed to identify significant predictors of urine leak. The diagnostic performance of the significant parameters was evaluated using the area under the receiver operating characteristic curve (AUC).

resultsFifty-three of 865 patients (6.1%) demonstrated urine leak. Compared with the control group, urine leak group showed longer curvilinear border length, longer protruding distance, frequent non-smooth contact interface, and frequent direct pelvicalyceal contact (p < 0.05 for all). In the multivariate analysis, pelvicalyceal contact was the independent predictor of urine leak (OR = 2.62; 95% C.I 1.02-6.63). Combining four CT parameters, an AUC of 0.70 with a sensitivity of 58.5% and a specificity of 79.2% for identifying urine leak after PN could be obtained.

conclusionsThe four CT features that describe the relationship between the tumor and collecting system might be useful for evaluating the risk of urine leak before PN. KEY POINTS: • Four CT parameters (curvilinear border length, protruding distance, margin at the interface, and pelvicalyceal contact) were significantly associated with postoperative urine leak after partial nephrectomy. • A comprehensive preoperative imaging evaluation of the relationship between the tumor and renal sinus may help in selecting the optimal surgical options and afford better patient counseling of complication risk.

Indexed as

Kidney NeoplasmsUrinary IncontinenceHumansKidney PelvisNephrectomyRetrospective StudiesRisk AssessmentTomography, X-Ray ComputedComputed tomography, X-rayKidney neoplasmsNephrectomyPostoperative complications

Identifiers

PMID36565351
OpenAlexW4312128750

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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.