Evidence map›Paper›PMID 42552493›Full record

ArticleAnnals of surgical oncology2026

Risk-Adapted Use of Adjuvant Systemic Therapy After Nephrectomy for Renal Cell Carcinoma: A Population-Based Study in the Post-approval Era.

Maximilian Filzmayer, Michele Petix, Leonardo Quarta, Filippo Orlandi, Jordan A Goyal, Luca Carmignani, Alberto Briganti, Salvatore Micali, Shahrokh F Shariat, Mike Wenzel and 5 more

Abstract read
In one paragraph

Article in Annals of surgical oncology, 2026. 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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0cells of the map it votes in
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

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

15 authors.

Maximilian FilzmayerCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, Canada. filzmayer@med.uni-frankfurt.de.ORCID http://orcid.org/0009-0005-5715-9965
Michele PetixCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, Canada.
Leonardo QuartaCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, Canada.
Filippo OrlandiCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, Canada.
Jordan A GoyalCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, Canada.
Luca CarmignaniUniversità degli Studi di Milano, Milan, Italy.
Alberto BrigantiVita-Salute San Raffaele University, Milan, Italy.
Salvatore MicaliDepartment of Urology, AOU di Modena, University of Modena and Reggio Emilia, Modena, Italy.
Shahrokh F ShariatDepartment of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
Mike WenzelDepartment of Urology, University Hospital, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60596, Frankfurt am Main, Germany.
Yasmine Heß-BuschDepartment of Urology, University Hospital, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60596, Frankfurt am Main, Germany.
Clara HumkeDepartment of Urology, University Hospital, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60596, Frankfurt am Main, Germany.
Fred SaadCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, Canada.
Felix K-H ChunDepartment of Urology, University Hospital, Goethe University Frankfurt, Theodor-Stern-Kai 7, 60596, Frankfurt am Main, Germany.
Pierre I KarakiewiczCancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montreal Health Center, Montreal, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReal-world adjuvant systemic therapy (AST) use for eligible renal cell carcinoma (RCC) patients remains insufficiently characterized in the contemporary treatment era. In particular, it is unclear whether treatment allocation reflects established high-risk tumor characteristics.

methodsIn the Surveillance, Epidemiology, and End Results (SEER) database, the study identified patients eligible for AST after nephrectomy (2018-2022). Temporal trends in AST use were assessed. Multivariable logistic regression models tested associations between histopathologic high-risk features (T4 stage, tumor grade 4, and N1-2 stage) and AST use.

resultsOf 6,497 eligible patients, 1,163 (18%) received AST. Annual proportions of AST increased from 13% in 2018 to 36% in 2022. Higher AST use was independently predicted by T4 stage (33% vs. 18%; odds ratio [OR], 1.68; p = 0.006), tumor grade 4 (28% vs. 15%; OR, 1.94; p < 0.001), and N1-2 stage (36% vs. 17%; OR, 2.57; p < 0.001). Patients who had any of these three high-risk features were more likely to receive AST than those who did not (28% vs. 14%; OR, 2.27; p < 0.001). Moreover, a stepwise increase in AST use was observed with an increasing number of high-risk features (one: 26% [OR, 2.09; p < 0.001], two: 37% [OR, 3.56; p < 0.001], three: 40% [OR, 4.04; p = 0.014]).

conclusionsOnly a minority of eligible RCC patients received AST after nephrectomy. However, the proportion of AST use increased over time. Use of AST was strongly associated with adverse tumor characteristics. A stratification according to the number of high-risk features showed a dose-response effect. Nevertheless, AST use remained limited even among patients at the highest risk.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsNephrectomyAgedChemotherapy, AdjuvantFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisSEER ProgramSurvival RateAdjuvant systemic therapyHigh riskKidney cancerNephrectomyRenal cell carcinoma

Identifiers

PMID42552493
PMCPMC13675263

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.