Trial reportTechnology in cancer research & treatment
The Construction and Validation of a new Predictive Model for Overall Survival of Clear Cell Renal Cell Carcinoma Patients with Bone Metastasis Based on Machine Learning Algorithm.
Trial report in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Establishment and Validation of Nomogram Model Based on Neutrophil Lymphocyte Ratio for Prognosis of Patients With Congestive Heart Failure.Cardiology research and practice · 2026Article
- Artificial Intelligence in bone Metastases: A systematic review in guideline adherence of 92 studies.Journal of bone oncology · 2025Review
- Development of a predictive model for patients with bone metastases referred to palliative radiotherapy: Secondary analysis of a multicenter study (the PRAIS trial).Cancer medicine · 2024Observational
- Artificial Intelligence in Detection, Management, and Prognosis of Bone Metastasis: A Systematic Review.Cancers · 2024Review
- Review
- Artificial Intelligence Models in Diagnosis and Treatment of Kidney Diseases: Current Status and Prospects.Kidney diseases (Basel, Switzerland)Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study aimed to develop and validate predictive models based on machine learning (ML) algorithms for patients with bone metastases (BM) from clear cell renal cell carcinoma (ccRCC) and to identify appropriate models for clinical decision-making.
methodsIn this retrospective study, we obtained information on ccRCC patients diagnosed with bone metastasis (ccRCC-BM), from the Surveillance, Epidemiology, and End Results (SEER) database from 2010 to 2015 (
resultsThe mean survival times of patients in the SEER and Chinese cohort were 21.8 months and 37.0 months, respectively. Age, marital status, grade, T stage, N stage, tumor size, brain metastasis, liver metastasis, lung metastasis, and surgery were included in the ML model. We observed that all four ML algorithms performed well in predicting the 1-year and 3-year OS of patients with ccRCC-BM.
conclusionML is useful in predicting the survival of patients with ccRCC-BM, and ML models can play a positive role in clinical applications.
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Registered trials
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