ArticlePloS one2016
Improving the Prognostic Ability through Better Use of Standard Clinical Data - The Nottingham Prognostic Index as an Example.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 3 of them syntheses that pooled it.
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Who cites it
15 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Investigating treatment-effect modification by a continuous covariate in IPD meta-analysis: an approach using fractional polynomials.BMC medical research methodology · 2022Pooled it
- Overinterpretation and misreporting of prognostic factor studies in oncology: a systematic review.British journal of cancer · 2018Pooled it
- Survival estimates stratified by the Nottingham Prognostic Index for early breast cancer: a systematic review and meta-analysis of observational studies.Systematic reviews · 2018Pooled it
- Article
- Structured reporting to improve transparency of analyses in prognostic marker studies.BMC medicine · 2022Review
- Classification of Breast Cancer Nottingham Prognostic Index Using High-Dimensional Embedding and Residual Neural Network.Cancers · 2022Article
- Advancement of prognostic models in breast cancer: a narrative review.Gland surgery · 2021Review
- Altona Prognostic Index: A New Prognostic Index for ER-Positive and Her2-Negative Breast Cancer of No Special Type.Cancers · 2021Article
- Direct comparison of three different mathematical models in two independent datasets of EUSOMA certified centers to predict recurrence and survival in estrogen receptor-positive breast cancer: impact on clinical practice.Breast cancer research and treatment · 2021Article
- Knockdown of Oligosaccharyltransferase Subunit Ribophorin 1 Induces Endoplasmic-Reticulum-Stress-Dependent Cell Apoptosis in Breast Cancer.Frontiers in oncology · 2021Article
- Risk Stratification Using Multivariable Fractional Polynomials in Diffuse Large B-Cell Lymphoma.Frontiers in oncology · 2020Article
- A plea for taking all available clinical information into account when assessing the predictive value of omics data.BMC medical research methodology · 2019Article
- Nottingham Prognostic Index is an Applicable Prognostic Tool in Non-Metastatic Triple-Negative Breast CancerAsian Pacific journal of cancer prevention : APJCP · 2019Article
- Relationship between Clinicopathologic Variables in Breast Cancer Overall Survival Using Biogeography-Based Optimization Algorithm.BioMed research international · 2019Article
- Correlation analysis between molecular subtypes and Nottingham Prognostic Index in breast cancer.Oncotarget · 2017Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundPrognostic factors and prognostic models play a key role in medical research and patient management. The Nottingham Prognostic Index (NPI) is a well-established prognostic classification scheme for patients with breast cancer. In a very simple way, it combines the information from tumor size, lymph node stage and tumor grade. For the resulting index cutpoints are proposed to classify it into three to six groups with different prognosis. As not all prognostic information from the three and other standard factors is used, we will consider improvement of the prognostic ability using suitable analysis approaches. METHODS AND
findingsReanalyzing overall survival data of 1560 patients from a clinical database by using multivariable fractional polynomials and further modern statistical methods we illustrate suitable multivariable modelling and methods to derive and assess the prognostic ability of an index. Using a REMARK type profile we summarize relevant steps of the analysis. Adding the information from hormonal receptor status and using the full information from the three NPI components, specifically concerning the number of positive lymph nodes, an extended NPI with improved prognostic ability is derived.
conclusionsThe prognostic ability of even one of the best established prognostic index in medicine can be improved by using suitable statistical methodology to extract the full information from standard clinical data. This extended version of the NPI can serve as a benchmark to assess the added value of new information, ranging from a new single clinical marker to a derived index from omics data. An established benchmark would also help to harmonize the statistical analyses of such studies and protect against the propagation of many false promises concerning the prognostic value of new measurements. Statistical methods used are generally available and can be used for similar analyses in other diseases.
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