Evidence map›Paper›PMID 41246606›Full record

ArticleCureus2025

Robotic-Assisted Laparoscopic Partial Nephrectomy for Multiple Synchronous Renal Tumors in a Solitary Kidney: A Case Report.

Toni Franz, Anja Dietel, Doreen Trebst, Lars-Christian Horn, Jens-Uwe Stolzenburg

Abstract readCase Reports
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Toni FranzDepartment of Urology, University of Leipzig, Leipzig, DEU.
Anja DietelDepartment of Urology, University of Leipzig, Leipzig, DEU.
Doreen TrebstDepartment of Urology, University of Leipzig, Leipzig, DEU.
Lars-Christian HornInstitute of Pathology, University of Leipzig, Leipzig, DEU.
Jens-Uwe StolzenburgDepartment of Urology, University of Leipzig, Leipzig, DEU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report the case of a 65-year-old female with multiple synchronous clear cell renal cell carcinomas (ccRCC) in a solitary kidney following prior radical nephrectomy of the contralateral side, presenting with five tumors ranging from 0.8 cm to 3.6 cm in size, distributed across all segments of the kidney as well as on both the anterior and posterior surfaces. Due to the complex tumor distribution, a patient-specific 3D model was created for preoperative planning to precisely assess the spatial relationship of the tumors to the main renal vessels, intrarenal vasculature, collecting system, and ureter. Given the pre-existing chronic kidney disease, nephron-sparing surgery was performed using a robotic-assisted laparoscopic approach, with intraoperative ultrasound and selective vascular clamping additionally employed to further optimize the resection strategy. All tumors were completely resected with negative margins. The postoperative course was uneventful; renal function remained stable, and dialysis was not required. The patient has remained cancer-free during follow-up. This case highlights the technical feasibility and clinical value of nephron-sparing surgery even in multifocal, anatomically complex renal tumors. The integration of advanced imaging modalities and individualized 3D surgical planning can improve oncological outcomes while preserving renal function, emphasizing the importance of a personalized, technology-assisted approach in contemporary renal tumor surgery.

Indexed as

3d reconstructionmultiple kidney tumorspartial nephrectomyrobotic surgerysolitary kidney

Identifiers

PMID41246606
PMCPMC12616200

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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.