Evidence map›Paper›PMID 40940584›Full record

ArticleJournal of robotic surgery2025

Reassessment of T1a cutoff for kidney cancer in the robotic era.

Ryohei Yamamoto, Kazuyuki Numakura, Yu Aoyama, Keisuke Okubo, Hajime Sasagawa, Kanami Mori, Yuya Sekine, Hiromi Sato, Mizuki Kobayashi, Mitsuru Saito and 2 more

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

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0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

12 authors.

Ryohei Yamamoto *Department of Urology, Akita University Graduate School of Medicine, Akita, Japan.ORCID http://orcid.org/0000-0001-9931-0081
Kazuyuki NumakuraDepartment of Urology, Akita University Graduate School of Medicine, Akita, Japan. nqf38647@nifty.com.
Yu Aoyama *Department of Urology, Akita University Graduate School of Medicine, Akita, Japan.
Keisuke OkuboDepartment of Urology, Akita University Graduate School of Medicine, Akita, Japan.
Hajime SasagawaDepartment of Urology, Akita University Graduate School of Medicine, Akita, Japan.
Kanami MoriDepartment of Urology, Akita University Graduate School of Medicine, Akita, Japan.
Yuya SekineDepartment of Urology, Akita University Graduate School of Medicine, Akita, Japan.
Hiromi SatoDepartment of Urology, Akita University Graduate School of Medicine, Akita, Japan.
Mizuki KobayashiDepartment of Urology, Akita University Graduate School of Medicine, Akita, Japan.
Mitsuru SaitoDepartment of Urology, Akita University Graduate School of Medicine, Akita, Japan.
Shintaro NaritaDepartment of Urology, Akita University Graduate School of Medicine, Akita, Japan.
Tomonori HabuchiDepartment of Urology, Akita University Graduate School of Medicine, Akita, Japan.

Funding

Grant-in-Aid for Scientific Research from Japan 24K12502
6 · The paper itself

Abstract

In 2002, the renal cancer T classification was revised by dividing T1 into T1a and T1b at a 4 cm cutoff. However, local treatment using minimally invasive procedures resulted in better outcomes for tumors smaller than 3 cm, leading the European Association of Urology guideline committee to propose a 3 cm cutoff for T1a/b. Nonetheless, the impact of changing the T1 cutoff on robot-assisted partial nephrectomy (RALPN) has not been fully investigated. This study included 300 out of 335 patients with clinical stage T1 disease who underwent RALPN at our institution between November 2013 and April 2024. We evaluated the discriminative performance of clinical outcomes in each group using tumor diameter cutoffs of 4 and 3 cm. Using a 3 cm cutoff, patients with tumors ≥ 3 cm showed a greater decline in estimated glomerular filtration rate (eGFR) (e.g., the change from baseline to 1-year follow-up) ( - 9.6% vs.  - 4.9%, p = 0.003) and a higher incidence of overall complications (25% vs. 15%, p = 0.040) compared to those with smaller tumors. With a 4 cm cutoff, differences in eGFR decline ( - 7.8% vs.  - 6.7%, p = 0.134) and overall complications (27% vs. 17%, p = 0.100) were not significant. The 3 cm cutoff more accurately predicted overall complications with a higher area under the curve (0.575 vs. 0.451, p = 0.037). A 3 cm cutoff for the T classification of kidney cancer may more accurately predict postoperative renal function and the risk of complications.

Indexed as

Kidney NeoplasmsNephrectomyRobotic Surgical ProceduresAgedFemaleGlomerular Filtration RateHumansMaleMiddle AgedNeoplasm StagingPostoperative ComplicationsRetrospective StudiesTreatment OutcomeClinical T1a classificationKidney cancerPartial nephrectomyRobotic surgery

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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.