Evidence map›Paper›PMID 40432623›Full record

ArticleCureus2025

Stereotactic Body Radiotherapy for Multiple Renal Cell Carcinoma Lesions in a Patient With Polycystic Kidney Disease After Partial Nephrectomy.

Laura Giannini, Miriam Torrisi, Chiara Lucrezia Deantoni, Roberta Tummineri, Andrei Fodor

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Laura GianniniRadiation Oncology, Istituto Di Ricovero E Cura a Carattere Scientifico Ospedale San Raffaele, Milan, ITA.
Miriam TorrisiRadiation Oncology, Istituto Di Ricovero E Cura a Carattere Scientifico Ospedale San Raffaele, Milan, ITA.
Chiara Lucrezia DeantoniRadiation Oncology, Istituto Di Ricovero E Cura a Carattere Scientifico Ospedale San Raffaele, Milan, ITA.
Roberta TummineriRadiation Oncology, Istituto Di Ricovero E Cura a Carattere Scientifico Ospedale San Raffaele, Milan, ITA.
Andrei FodorRadiation Oncology, Istituto Di Ricovero E Cura a Carattere Scientifico Ospedale San Raffaele, Milan, ITA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal cell carcinoma (RCC) is the most common malignant tumor of the kidney. Stereotactic body radiotherapy (SBRT) has recently emerged as a promising non-invasive treatment option for patients with localized RCC. However, data on SBRT in cases involving multiple renal lesions and pre-existing chronic kidney disease remain limited. We report a case of a 69-year-old male with a history of polycystic kidney disease and prior partial nephrectomy for RCC, who was found to have four new renal lesions during follow-up. At diagnosis of relapse, the patient was treated with SBRT using Cybernife®. All four lesions were treated simultaneously, with a total dose of 30 Gy in five consecutive fractions. No acute toxicity was observed. At the last follow-up, 29 months after SBRT, the MRI confirmed the stable disease observed at the previous controls. Renal function remained stable throughout the follow-up period. This case supports the use of SBRT as a safe and effective alternative to surgery for patients with multiple RCC lesions and compromised renal function. Even with a reduced dose, SBRT achieved long-term disease control and preservation of renal function suggesting its suitability in selected complex cases.

Indexed as

clear cell renal carcinomacyber kniferenal cell carcinoma (rcc)robotic stereotactic radiotherapystereotactic radiotherapy (srt)

Identifiers

PMID40432623
PMCPMC12109872

What OpenQuestion holds

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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.