Evidence map›Paper›PMID 39238623›Full record

ArticleCancer diagnosis & prognosis

The Mayo Adhesive Probability Score as a Predictor of Postoperative Renal Function in Robot-assisted Partial Nephrectomy.

Hiroshi Matsuzaki, Kazuna Tsubouchi, Y U Okabe, Takeshi Miyazaki, Naotaka Gunge, Kosuke Tominaga, Yuichiro Fukuhara, Masahiro Tachibana, Chizuru Nakagawa, Fumihiro Yamazaki and 2 more

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Article in Cancer diagnosis & prognosis. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Hiroshi MatsuzakiDepartment of Urology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Kazuna TsubouchiDepartment of Urology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Y U OkabeDepartment of Urology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Takeshi MiyazakiDepartment of Urology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Naotaka GungeDepartment of Urology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Kosuke TominagaDepartment of Urology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Yuichiro FukuharaDepartment of Urology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Masahiro TachibanaDepartment of Urology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Chizuru NakagawaDepartment of Urology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Fumihiro YamazakiDepartment of Urology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Nobuyuki NakamuraDepartment of Urology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.
Nobuhiro HagaDepartment of Urology, Faculty of Medicine, Fukuoka University, Fukuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Aim: The aim of this study was to evaluate the Mayo Adhesive Probability (MAP) score as a predictor of split renal function deterioration after robot-assisted partial nephrectomy (RAPN). Patients and Methods: A total of 30 patients who underwent RAPN were identified retrospectively. The parameters evaluated included patient characteristics, tumor diameter, MAP score, warm ischemic time (WIT), and renal function. Split renal function was evaluated using Tc-99m DTPA renal scintigraphy before and six months after surgery. Univariate and multivariate logistic regression analyses were performed. Results: Nine patients (30.0%) showed more than 90% preservation of split renal function on the operated side. The MAP score (p=0.015), cT1b tumor (p=0.0002), and WIT (p=0.044) were associated with preservation of split renal function six months after surgery on univariate analysis. The MAP score was the strongest predictor of preservation of split renal function six months after surgery on multivariable analysis (p=0.007). On receiver-operating characteristic (ROC) curve analysis, the MAP score (cutoff value 3.0; p=0.01) was a significant predictor of split renal function six months after surgery. Conclusion: The MAP score was significantly associated with postoperative split renal function six months after RAPN on the operated kidney side. The MAP score is useful for predicting split renal function after RAPN.

Indexed as

Mayo adhesive probability scorerenal functionRobot-assisted partial nephrectomy (RAPN)

Identifiers

PMID39238623
PMCPMC11372686

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