ArticleBritish journal of cancer2006
An approach to estimating prognosis using fractional polynomials in metastatic renal carcinoma.
Article in British journal of cancer, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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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
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.
- Pooled it
- New horizons in prediction modelling using machine learning in older people's healthcare research.Age and ageing · 2024Article
- Optimal designs for health risk assessments using fractional polynomial models.Stochastic environmental research and risk assessment : research journal · 2022Article
- Risk Stratification Using Multivariable Fractional Polynomials in Diffuse Large B-Cell Lymphoma.Frontiers in oncology · 2020Article
- Predicting Outcomes in Emergency Medical Admissions Using a Laboratory Only Nomogram.Computational and mathematical methods in medicine · 2017Article
- Prognostic factors for overall survival with targeted therapy in Chinese patients with metastatic renal cell carcinoma.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2014Article
- Efficacy of RTS,S malaria vaccines: individual-participant pooled analysis of phase 2 data.The Lancet. Infectious diseases · 2013Article
- Flexible modeling improves assessment of prognostic value of C-reactive protein in advanced non-small cell lung cancer.British journal of cancer · 2010Article
- Adjuvant and neoadjuvant small-molecule targeted therapy in high-risk renal cell carcinoma.Current oncology (Toronto, Ont.) · 2009Article
- Modelling prognostic factors in advanced pancreatic cancer.British journal of cancer · 2008Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
We present a prognostic model for metastatic renal cell carcinoma based on fractional polynomials. We retrospectively analysed 425 metastatic renal cell carcinoma patients treated with subcutaneous recombinant cytokine-based home therapies in consecutive trials. In our approach, we categorised a continuous prognostic index produced by the multivariable fractional polynomial (MFP) algorithm, using a strategy in which continuous predictors are kept continuous. The MFP algorithm selected five prognostic factors as significant at the 5% level in a multivariable model: lymph node metastases, liver metastases, bone metastases, age, C-reactive protein and neutrophils. The MFP model allowed us to divide patients into four risk groups achieving median overall survivals of 38 months (low risk), 23 months (low intermediate risk), 15 months (high intermediate risk) and 5.6 months (high risk). Our approach, based on categorising a continuous prognostic index produced by the MFP algorithm, allowed more flexibility in the determination of risk groups than traditional approaches.
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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.