Evidence map›Paper›PMID 41204965›Full record

ArticleWorld journal of urology2025

Impact of timing between neoadjuvant therapy and radical cystectomy on survival in muscle-invasive bladder cancer.

Pietro Scilipoti, Paolo Zaurito, Mattia Longoni, Mario de Angelis, Alessandro Viti, Alfonso Santangelo, Angelo Occhi, Leonardo Quarta, Giuseppe Basile, Giovanni Tremolada and 12 more

Abstract read
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In one paragraph

Article in World journal of urology, 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. Article
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

22 authors.

Pietro ScilipotiDivision of Experimental Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy.
Paolo ZauritoDivision of Experimental Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy.
Mattia LongoniDivision of Experimental Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy.
Mario de AngelisDivision of Experimental Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy.
Alessandro VitiDivision of Experimental Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy.
Alfonso SantangeloDivision of Experimental Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy.
Angelo OcchiDivision of Experimental Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy.
Leonardo QuartaDivision of Experimental Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy.
Giuseppe BasileDivision of Experimental Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy.
Giovanni TremoladaDivision of Experimental Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy.
Alessandro RealeVita-Salute San Raffaele University, Milan, Italy.
Giusy BurgioDivision of Experimental Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy.
Giuseppe RosielloDivision of Experimental Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy.
Chiara MercinelliDivision of Experimental Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy.
Antonio CigliolaDivision of Experimental Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy.
Brigida MaioranoDivision of Experimental Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy.
Valentina TateoDivision of Experimental Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy.
Francesco MontorsiDivision of Experimental Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy.
Andrea SaloniaDivision of Experimental Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy.
Andrea NecchiDivision of Experimental Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy.
Alberto BrigantiDivision of Experimental Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy.
Marco MoschiniDivision of Experimental Oncology/Unit of Urology, Urological Research Institute, IRCCS Ospedale San Raffaele, Via Olgettina, 60, 20132, Milan, Italy. scilipoti.pietro@hsr.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPrevious studies investigated the impact of timing between neoadjuvant therapy (NAT) and radical cystectomy (RC) (NAT-to-RC interval) on overall survival (OS). However, these studies primarily focused on neoadjuvant chemotherapy (NAC), leaving the effects of neoadjuvant immunotherapy (NAI) and chemoimmunotherapy (NACI) unexplored.

methodsWe retrospectively reviewed 717 treated with RC between 2015 and 2024 at a tertiary referral center. For the purpose of the study, patients receiving either NAC, NAI, or NACI were included. Multivariable Cox regression analysis (MCR) was used to assess the association between the NAT-to-RC interval and any cause of death. MCRs models together with the Harrell's C-index, were used to test progressively increasing weekly NAT-to-RC interval cut-offs. Kaplan-Meier analysis was used to estimate OS based on the first interval threshold significantly associated with survival outcomes.

resultsAmong 246 eligible patients, 110 (45%) received NAC, 101 (41%) NAI, and 35 (14%) NACI. The NAT-to-RC interval was 46 days (IQR: 28-71 days). Over a median follow-up of 40 months, 43 patients (17%) died from any cause. In MCR, longer NAT-to-RC intervals were significantly associated with reduced OS (per 2-week increase: Hazard ratio [HR] 1.06, p = 0.004). The first statistically significant cut-off was at 11 weeks (adjusted HR: 1.88, p = 0.048, C-index: 74%). Patients with an interval of 11 weeks or more (n = 53, 22%) had significantly lower 3-year OS than those with shorter intervals (86% vs. 75%, adjusted HR: 1.88, p = 0.048). Similar results were observed in the NAI/NACI subgroup with a 14-week cut-off (unadjusted HR: 4.27, p = 0.043, C-index: 59%).

conclusionA prolonged NAT-to-RC interval is independently associated with poorer OS, even in patients receiving NAI or NACI. An interval of 11 weeks is associated with a decline in OS, suggesting a potential time-sensitive impact of delayed RC. These findings underscore the importance of timely RC following NAT, particularly as the use of NAT strategies continues to expand.

Indexed as

CystectomyNeoadjuvant TherapyTime-to-TreatmentUrinary Bladder NeoplasmsAgedFemaleHumansMaleMiddle AgedNeoplasm InvasivenessRetrospective StudiesSurvival RateTime FactorsBladder cancerImmunotherapyMuscle invasive bladder cancerNeoadjuvant therapyOncological outcomesRadical cystectomyTiming to surgery

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.