Evidence map›Paper›PMID 38285306›Full record

ArticleAnnals of surgical oncology2024

Predicting Recurrence After Radical Surgery for High-Risk Renal Cell Carcinoma: Development and Internal Validation of the "TOWARDS" Score.

Yudai Ishiyama, Kenji Omae, Tsunenori Kondo, Kazuhiko Yoshida, Junpei Iizuka, Toshio Takagi

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Article in Annals of surgical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yudai IshiyamaDepartment of Urology, Tokyo Women's Medical University, Tokyo, Japan. ishiyama.yudai@twmu.ac.jp.
Kenji OmaeDepartment of Innovative Research and Education for Clinicians and Trainees (DiRECT), Fukushima Medical University Hospital, Fukushima, Japan.
Tsunenori KondoDepartment of Urology, Tokyo Women's Medical University Adachi Medical Center, Tokyo, Japan.
Kazuhiko YoshidaDepartment of Urology, Tokyo Women's Medical University, Tokyo, Japan.
Junpei IizukaDepartment of Urology, Tokyo Women's Medical University, Tokyo, Japan.
Toshio TakagiDepartment of Urology, Tokyo Women's Medical University, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConsidering the reported greater benefits of immunotherapy and its unignorable adverse events in adjuvant therapy for high-risk renal cell carcinoma (hrRCC), accurate prediction may optimize drug use.

methodsThe primary objective of this study was to generate a score-based prognostic model of recurrence-free survival in hrRCC. The study retrospectively evaluated 456 patients at two institutions who underwent radical surgery for nonmetastatic pT3-4 and/or N1-2 or pT2 and G4 disease. Clinical variables deemed universally available were selected through backward stepwise analysis and fitted by a multivariable Cox proportional hazards regression model. A point-based score was derived from regression coefficients. Discrimination, calibration, and decision curve analyses were conducted to evaluate predictive performance. Internal validation with bootstrapping was performed to correct for optimism.

resultsThe mean follow-up period was 55.3 months, and the median follow-up period was 28.0 months. During the follow-up period, the recurrence rate was 48.2% (n = 220) during a median of 75.7 months. Stepwise variable selection retained age, Eastern Cooperative Oncology Group (ECOG) performance status, presence or absence of symptoms, size of the primary tumor, pathologic T stage, pathologic N stage, tumor grade, and histology. Subsequently, the TOWARDS score (range 0-53) was developed from these variables. Internal validation showed an optimism-corrected C-index of 0.723 and a calibration slope of 0.834. The decision curve analysis showed the superiority of this score over the University of California, Los Angeles (UCLA) Integrated Staging System and GRade, Age, Nodes, and Tumor score.

conclusionsThe authors' novel TOWARDS scoring model had good accuracy for predicting disease recurrence in patients with hrRCC, and the clinical practicability was superior to that of the existing models.

Indexed as

Carcinoma, Renal CellKidney NeoplasmsHumansNeoplasm Recurrence, LocalNeoplasm StagingPrognosisRetrospective StudiesAdjuvant therapyHigh riskKidney cancerRecurrenceRisk score

Identifiers

PMID38285306

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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.