ArticleThe Journal of urology2018
Risk Based Surveillance after Surgical Treatment of Renal Cell Carcinoma.
Article in The Journal of urology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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.
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Who cites it
5 citing papers in PubMed.
- Development and Validation of a Nomogram to Predict Cancer-Specific Survival in Elderly Patients With Papillary Renal Cell Carcinoma.Frontiers in public health · 2022Trial
- Develop and validate nomogram to predict cancer-specific survival for patients with testicular yolk sac tumors.Frontiers in public health · 2022Trial
- Research Progress of PI3K/PTEN/AKT Signaling Pathway Associated with Renal Cell Carcinoma.Disease markers · 2022Review
- Parenchymal biopsy in the management of patients with renal cancer.World journal of urology · 2021Article
- A Simple Clinical Tool for Stratifying Risk of Clinically Significant CKD after Nephrectomy: Development and Multinational Validation.Journal of the American Society of Nephrology : JASN · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
purposeWe assessed the accuracy of the UISS (UCLA Integrated Staging System) to predict the postoperative recurrence of renal cell carcinoma. We also evaluated whether including patient age and tumor histology would improve clinical decision making. MATERIALS AND
methodsWe analyzed the records of 1,630 patients treated with nephrectomy at a single academic center. The accuracy of the UISS model to predict early (12 months or less) and late (more than 60 months) recurrence after surgery was compared with a new model including patient age and disease histology.
resultsThe new model and the UISS model showed high accuracy to predict early recurrence after surgery (AUC 0.84, 95% CI 0.81-0.88 and 0.83, 95% CI 0.80-0.87, respectively). In patients diagnosed with low risk tumor types (eg papillary type 1 and chromophobe lesions) the average risk of early recurrence significantly decreased in each UISS risk category when tumor histology was added to the predictive model (low risk 1.6% vs 0.6%, intermediate risk 5.5% vs 1.9% and high risk 45% vs 22%). Kaplan-Meier analysis showed no difference in the risk of late recurrence among the UISS risk categories.
conclusionsThe UISS model should be applied to tailor the early followup protocol after nephrectomy. Patients with low risk histology deserve less stringent followup regardless of the UISS risk category. Our results do not support a risk stratification model to design a surveillance protocol after 5 years postoperatively.
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