ReviewCancers2025
Lymph Node Dissection for Upper Tract Urothelial Carcinoma: A Critical Appraisal of Lymph Node Mapping Studies.
Review in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite the advent and growth of endoscopic and nephron-sparing management approaches, the mainstay treatment for upper tract urothelial carcinoma (UTUC) in 2025 remains radical nephroureterectomy (RNU). Classic teaching, largely derived from the benefit seen in the muscle-invasive bladder cancer (MIBC) population, supports the inclusion of retroperitoneal lymph node dissection (LND), particularly for high-risk and high-grade disease. However, no level 1 evidence exists supporting the inclusion of an LND at the time of extirpative surgery for UTUC. Moreover, studies attempting to map lymph node dissection relative to primary UTUC tumor location are plagued by limitations. Herein, we summarize and review available data regarding proposed LND templates for the management of UTUC.
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Registered trials
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.