Evidence map›Paper›PMID 34190437›Full record

ArticleInvestigative and clinical urology2021

Development of a simple nomogram to estimate risk for intraoperative complications before partial nephrectomy based on the Mayo Adhesive Probability score combined with the RENAL nephrometry score.

Xiaojun Tan, Dachun Jin, Jian Hu, Weili Zhang, Yu Zhou, Yunxiang Li, Yuanfeng Zhang, Ji Wu

Abstract read
In one paragraph

Article in Investigative and clinical urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xiaojun Tan *Department of Urology, Nanchong Central Hospital, the Second Clinical Medical College, North Sichuan Medical University, Nanchong, Sichuan, China.ORCID 0000-0003-4767-6860
Dachun Jin *Department of Urology, Daping Hospital, Army Medical Center of the PLA, Army Medical University, Chongqing, China.ORCID 0000-0003-1144-673X
Jian HuDepartment of Urology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID 0000-0003-1967-0875
Weili ZhangDepartment of Urology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yu ZhouDepartment of Urology, Nanchong Central Hospital, the Second Clinical Medical College, North Sichuan Medical University, Nanchong, Sichuan, China.ORCID 0000-0003-1224-7070
Yunxiang LiDepartment of Urology, Nanchong Central Hospital, the Second Clinical Medical College, North Sichuan Medical University, Nanchong, Sichuan, China.ORCID 0000-0002-9798-5760
Yuanfeng ZhangDepartment of Urology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ji WuDepartment of Urology, Nanchong Central Hospital, the Second Clinical Medical College, North Sichuan Medical University, Nanchong, Sichuan, China. vjindachun@qq.com.ORCID 0000-0003-0313-9035

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to develop a simple nomogram based on the Mayo Adhesive Probability (MAP) score combined with the RENAL nephrometry score (RNS) to predict intraoperative complications before partial nephrectomy (PN) in Asian populations. MATERIALS AND

methodsThis study retrospectively collected patients undergoing PN at three medical centers. Each component of the MAP score and the RNS (6 variables) was evaluated to assess its association with intraoperative complications by multivariable logistic regression with backward elimination.

resultsA total of 46 cases (7.2%) with intraoperative complications were identified among 637 patients. After backward elimination, three variables, including tumor diameter (4-7 cm vs. ≤4 cm: odds ratio [OR], 4.339; 95% confidence interval [CI], 1.943-9,692; ≥7 cm vs. ≤4 cm: OR, 8.434; 95% CI, 1.225-58.090), nearness to the collecting system (4-7 mm vs. ≥7 mm: OR, 2.988; 95% CI, 1.293-6.907; ≤4 mm vs. ≥7 mm: OR, 21.394; 95% CI, 6.122-74.756), and perirenal fat stranding type (type 1 vs. no stranding: OR, 3.119; 95% CI, 1.079-9.017; type 2 vs. no stranding: OR, 18.722; 95% CI, 6.757-51.868), were retained. The predictive power (measured by area under the curve [AUC]) of the nomogram was observed to be superior to the RNS or MAP score alone (RNS: 0.686, MAP score: 0.729, the nomogram: 0.837), but comparable to their combination (0.813).

conclusionsThe simple nomogram contains fewer components than the combination of the RNS and MAP scores yet demonstrates equivalent predictive power for intraoperative complications.

Indexed as

NomogramsAdipose TissueAdultAgedArea Under CurveCarcinoma, Renal CellFemaleHumansIntraoperative ComplicationsKidney NeoplasmsLaparoscopyMaleMiddle AgedNephrectomyPreoperative PeriodRetrospective StudiesIntraoperative complicationLaparoscopic surgeryNephrectomyPredictive value of tests

Identifiers

PMID34190437
PMCPMC8246018

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