Evidence map›Paper›PMID 39655154›Full record

ArticleAdvances in radiation oncology2025

A Predictive Nomogram for Development of Lymph Node Metastasis in Muscle-Invasive Bladder Cancer Following Neoadjuvant Therapy.

Garrett K Harada, Steven N Seyedin, Olivia Heutlinger, Armon Azizi, Audree Hsu, Arash Rezazadeh, Michael Daneshvar, Greg E Gin, Edward M Uchio, Giovanna A Giannico and 4 more

Abstract read
In one paragraph

Article in Advances in radiation oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

14 authors.

Garrett K HaradaDepartment of Radiation Oncology, Chao Family Cancer Center, University of California, Irvine Medical Center, Orange, California.
Steven N SeyedinDepartment of Radiation Oncology, Chao Family Cancer Center, University of California, Irvine Medical Center, Orange, California.
Olivia HeutlingerSchool of Medicine, University of California, Irvine, Irvine, California.
Armon AziziSchool of Medicine, University of California, Irvine, Irvine, California.
Audree HsuCalifornia University of Science and Medicine, Colton, California.
Arash RezazadehDivision of Hematology and Oncology, University of California, Irvine Medical Center, Orange, California.
Michael DaneshvarDepartment of Urology, University of California, Irvine Medical Center, Orange, California.
Greg E GinDepartment of Urology, University of California, Irvine Medical Center, Orange, California.
Edward M UchioDepartment of Urology, University of California, Irvine Medical Center, Orange, California.
Giovanna A GiannicoDepartment of Pathology and Laboratory Medicine, University of California, Irvine Medical Center, Orange, California.
Jeremy P HarrisDepartment of Radiation Oncology, Chao Family Cancer Center, University of California, Irvine Medical Center, Orange, California.
Aaron B SimonDepartment of Radiation Oncology, Chao Family Cancer Center, University of California, Irvine Medical Center, Orange, California.
Jeffrey V KuoDepartment of Radiation Oncology, Chao Family Cancer Center, University of California, Irvine Medical Center, Orange, California.
Nataliya MarDivision of Hematology and Oncology, University of California, Irvine Medical Center, Orange, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Pelvic lymph node metastases (ypN+) after multiagent neoadjuvant chemotherapy (NAC) is a poor prognostic sign in nonmetastatic muscle-invasive bladder cancer (nmMIBC). We sought to create a nomogram predicting probability of ypN+ after NAC for cN0 nmMIBC and determine association with overall survival (OS). Methods and Materials: We reviewed the National Cancer Database for patients with cT2-4N0M0 urothelial carcinoma of the bladder receiving multiagent NAC and surgery from 2004 to 2020. Following a data split, univariate logistic regression identified variables associated with ypN+ at Results: A total of 6194 patients were identified with a median follow-up of 39.5 months (interquartile range [IQR], 20.5-67.2 months). Most patients had high-grade (97.7%) cT2 disease (70.8%) with nonpapillary urothelial histology (67.3%) and initiated NAC at a median of 41.0 days after diagnosis (IQR, 28.0-59.0 days).The nomogram included age in decades (odds ratio [OR], 0.94; 95% confidence interval [CI], 0.87-1.03; Conclusions: This is the first study to provide a tool for predicting ypN+ and prognosticate worse OS in primarily high-grade nmMIBC and could select patients for alternative neoadjuvant therapy and facilitate future study.

Identifiers

PMID39655154
PMCPMC11626798

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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.