ReviewInternational urology and nephrology2013
Lymph node dissection during radical cystectomy for bladder cancer treatment: considerations on relevance and extent.
Review in International urology and nephrology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled 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.
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
11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.
- [Short version of the German S3 guideline for bladder cancer].Der Urologe. Ausg. A · 2016Pooled it
- Pelvic Lymph Node Dissection Before Versus After Radical Cystectomy: A Systematic Review and Meta-Analysis.International braz j urol : official journal of the Brazilian Society of UrologyPooled it
- Review
- The Usefulness of Lymphadenectomy in Bladder Cancer-Current Status.Medicina (Kaunas, Lithuania) · 2021Review
- The current role of circulating biomarkers in non-muscle invasive bladder cancer.Translational andrology and urology · 2019Review
- Pelvic lymph node dissection during radical cystectomy for muscle-invasive bladder cancer.Nature reviews. Urology · 2018Review
- The current status and clinical value of circulating tumor cells and circulating cell-free tumor DNA in bladder cancer.Translational andrology and urology · 2017Review
- Is there evidence for a close connection between side of intravesical tumor location and ipsilateral lymphatic spread in lymph node-positive bladder cancer patients at radical cystectomy? Results of the PROMETRICS 2011 database.International urology and nephrology · 2017Article
- PET/CT versus conventional CT for detection of lymph node metastases in patients with locally advanced bladder cancer.BMC urology · 2015Article
- Do circulating tumor cells have a role in deciding on adjuvant chemotherapy after radical cystectomy?Current urology reports · 2015Review
- Contemporary gender-specific outcomes in Germany after radical cystectomy for bladder cancer.Current urology reports · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite advances in the surgical and medical treatment for urothelial carcinoma of the bladder (UCB), there have only been limited improvements in disease-specific mortality rates over the past decades. Lymph node dissection (LND) during radical cystectomy is an integral part of the treatment for muscle-invasive and high-risk UCB. LND may detect and remove lymph node (LN) metastasis and thus guide patient counseling and decision making regarding additional treatment decisions. In addition, LND may improve survival in patients both with and without LN metastasis. In this non-systematic review article, we discuss benefits and risks of LND, the role of limited versus extended LND and the dilemma of preoperative LN staging.
Indexed as
Identifiers
What OpenQuestion holds
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.