Evidence map›Paper›PMID 41228274›Full record

ArticleCancers2025

Propensity Score-Matched Analysis of Neoadjuvant vs. Adjuvant Therapy in Renal Cell Carcinoma.

Cesare Saitta, Giacomo Musso, Giuseppe Garofano, Hajime Tanaka, Dattatraya Patil, Margaret F Meagher, Srinivas Vourganti, Edward Cherullo, Michael Liss, Marco Paciotti and 6 more

Abstract read
In one paragraph

Article in Cancers, 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

16 authors.

Cesare SaittaDepartment of Urology, UC San Diego Health System, San Diego, CA 92121, USA.ORCID 0009-0009-1947-084X
Giacomo MussoDepartment of Urology, UC San Diego Health System, San Diego, CA 92121, USA.
Giuseppe GarofanoDepartment of Urology, UC San Diego Health System, San Diego, CA 92121, USA.
Hajime TanakaDepartment of Urology, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.ORCID 0000-0003-3632-2901
Dattatraya PatilDepartment of Urology, Emory Medical Center, Atlanta, GA 30322, USA.
Margaret F MeagherDepartment of Urology, UC San Diego Health System, San Diego, CA 92121, USA.
Srinivas VourgantiDepartment of Urology, Rush University Medical Center, Chicago, IL 60612, USA.
Edward CherulloDepartment of Urology, Rush University Medical Center, Chicago, IL 60612, USA.
Michael LissDepartment of Urology, UC San Diego Health System, San Diego, CA 92121, USA.
Marco PaciottiDepartment of Urology, IRCCS Humanitas Clinical and Research Hospital, 20089 Rozzano, Italy.
Giovanni LughezzaniDepartment of Urology, IRCCS Humanitas Clinical and Research Hospital, 20089 Rozzano, Italy.ORCID 0000-0003-3939-4521
Nicolò M BuffiDepartment of Urology, IRCCS Humanitas Clinical and Research Hospital, 20089 Rozzano, Italy.
Viraj MasterDepartment of Urology, Emory Medical Center, Atlanta, GA 30322, USA.
Yasuhisa FujiiDepartment of Urology, Tokyo Medical and Dental University, Tokyo 113-8510, Japan.
Rana R McKayDepartment of Internal Medicine, Division of Hematology and Medical Oncology, UC San Diego School of Medicine, San Diego, CA 92093, USA.
Ithaar H DerweeshDepartment of Urology, Rush University Medical Center, Chicago, IL 60612, USA.ORCID 0000-0002-8673-0711

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim was to compare outcomes in high-risk localized RCC (HRL-RCC) patients treated with adjuvant (AT) and neoadjuvant therapy (NT) utilizing a propensity score-matched model (PSM).

methodsWe conducted a multicenter analysis (USA and Japan) for patients who underwent AT or NT. AT was defined as systemic therapy given postoperatively in the absence of metastases; NT was presurgical therapy in the setting of localized disease. AT and NT utilized included target molecular therapy (TMT) or immunotherapy (IO). The PSM model was generated using a nearest neighbor matching algorithm in a 1:2 ratio. The primary outcome was All-Cause Mortality (ACM); the secondary outcomes were Cancer-Specific Mortality (CSM) and recurrence. Cox regression multivariable analysis (MVA) was utilized to elucidate predictors of outcomes.

resultsAfter PSM modeling, 311 patients were analyzed [adjuvant

conclusionsOur findings suggest a potential advantage of NT in HRL-RCC. Adjuvant immunotherapy was associated with decreased risk of ACM, while in the neoadjuvant group, TMT and IO therapy had similar outcomes. Our findings call for the consideration of a clinical trial to compare the outcomes of AT vs. NT.

Indexed as

adjuvant therapycarcinomaneoadjuvantnephrectomypropensity score matchrenal cellsurvival outcomes

Identifiers

PMID41228274
PMCPMC12607376

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.