ReviewWorld journal of urology2018
Follow-up after curative treatment of localised renal cell carcinoma.
Review in World journal of urology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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
26 citing papers in PubMed, 45 citations in OpenAlex.
- Intussusception caused by metastatic renal cell carcinoma at the duodenojejunal junction 41 years after nephrectomy: a case report.International journal of surgery case reports · 2026Article
- Article
- Initial report of prospective study of regional cooperation for imaging-based follow-up after curative renal cell carcinoma surgery.Scientific reports · 2025Observational
- Sites of Metastasis and Survival in Metastatic Renal Cell Carcinoma: Results From the Korean Renal Cancer Study Group Database.Journal of Korean medical science · 2024Article
- Incidence and Pattern of Recurrence after Surgical Resection in Organ-Confined Renal Cell Carcinoma.Yonsei medical journal · 2024Article
- Machine learning analysis for detecting late recurrence and loss to follow-up after renal cell carcinoma surgery.BJUI compass · 2024Article
- Impact of diabetes mellitus and hypertension on renal function during first-line targeted therapy for metastatic renal cell carcinoma: a retrospective multicenter study.Translational andrology and urology · 2024Article
- Can Cytoreductive Nephrectomy Improve Outcomes of Nivolumab Treatment in Patients with Metastatic Clear-Cell Renal Carcinoma?Current oncology (Toronto, Ont.) · 2024Article
- Tumor margin irregularity degree is an important preoperative predictor of adverse pathology for clinical T1/2 renal cell carcinoma and the construction of predictive model.World journal of urology · 2024Article
- Disulfidptosis status influences prognosis and therapeutic response in clear cell renal cell carcinoma.Aging · 2024Article
- Can We Predict the Grade of Clear Cell Renal Cell Carcinoma from Houns-Field Unit of Renal Lesion on Computerized Tomography Scan, a Retrospective Cross-Sectional Study.International journal of general medicine · 2024Article
- Cohort profile - the Renal cell cancer: Lifestyle, prognosis and quality of life (ReLife) study in the Netherlands.BMJ open · 2023Article
- A clinical investigation of recurrence and lost follow-up after renal cell carcinoma surgery: a single-center, long-term, large cohort, retrospective study.International journal of clinical oncology · 2022Review
- Is a single portal venous phase in contrast-enhanced CT sufficient to detect metastases or recurrence in clear cell renal cell carcinoma? - a single-center retrospective study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2022Article
- Comprehensive analysis of cellular senescence-related genes in the prognosis, tumor microenvironment, and immunotherapy/chemotherapy of clear cell renal cell carcinoma.Frontiers in immunology · 2022Article
- External Validation of the ASSURE Model for Predicting Oncological Outcomes After Resection of High-risk Renal Cell Carcinoma (RESCUE Study: UroCCR 88).European urology open science · 2021Article
- Impact of Histology and Tumor Grade on Clinical Outcomes Beyond 5 Years of Follow-Up in a Large Cohort of Renal Cell Carcinomas.Clinical genitourinary cancer · 2021Article
- EGR2-mediated regulation of mCell death & disease · 2021Article
- Biomarkers for Renal Cell Carcinoma Recurrence: State of the Art.Current urology reports · 2021Review
- A Retrospective, Multicenter, Long-Term Follow-Up Analysis of the Prognostic Characteristics of Recurring Non-Metastatic Renal Cell Carcinoma After Partial or Radical Nephrectomy.Frontiers in oncology · 2021Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposePatients with localised renal cell carcinoma (RCC) receiving curative surgery, either radical or partial nephrectomy, have been shown in contemporary studies to develop recurrence within 5 years in 20-30% of case. Therefore, post-operative follow-up (FU) imaging plays a crucial role in detecting recurrent or metastatic disease. A number of prognostic scores have been developed to predict risk of recurrence. This review summarises the current knowledge on established FU protocols and their limitations.
methodsA non-systematic literature search was conducted using Medline. Furthermore, major guidelines [European Association of Urology (EAU), American Urological Association (AUA) and National Comprehensive Cancer Network (NCCN)] were reviewed and assessed.
resultsThe EAU, AUA and NCCN post-operative follow-up guidelines differ in the frequency and type of imaging modalities recommended. The optimal duration of follow-up remains to be elucidated as does the impact of follow-up protocols on patient outcomes and quality of life. Established follow-up protocols do not take non-RCC-related factors, such as patient age and performance status into account. However, in the future individualised duration of FU based on competing risks of cancer recurrence and non-RCC death may be optimised, maximising resources and patient quality of life.
conclusionThere is a clear need to establish evidence-based follow-up protocols and to assess the impact of follow-up protocols on individual patients and society.
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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.