ArticlePloS one2019
Visualising statistical models using dynamic nomograms.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06268379 (Developing a Clinician-friendly Online Tool for Survival Prediction in Colon Cancer Patients), which is not on this map. Cited by 91 papers.
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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.
Developing a Clinician-friendly Online Tool for Survival Prediction in Colon Cancer Patients: A Bayesian Model Averaging for Risk Factor Selection and Dynamic Nomogram
Who cites it
91 citing papers in PubMed.
- Development of risk assessment models for microvascular complications in type 2 diabetes mellitus patients: a cross-sectional study.Scientific reports · 2026Article
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- Predicting delirium in critically Ill COVID-19 patients using EEG-derived data: a machine learning approach.GeroScience · 2026Observational
- Development and Validation of a Machine Learning-Based Nomogram for Predicting Pressure Ulcer Risk in Respiratory Patients.International wound journal · 2026Article
- A clinically interpretable prediction model for acute mortality in patients with pneumonia requiring mechanical ventilation.Respiratory research · 2026Article
- Predictors of Undiagnosed Diabetes in the Bangladeshi Female Population: A Propensity Score-Weighted Machine Learning Analysis of BDHS Biomarker Data.Journal of diabetes research · 2026Article
- Development and validation of a prognostic nomogram model for 28-day mortality based on IP-10 and clinical parameters in septic patients in the emergency department.Frontiers in cellular and infection microbiology · 2026Article
- Construction and validation of a prognostic nomogram for predicting in-hospital mortality of patients with acute chlorfenapyr poisoning.American journal of translational research · 2026Article
- Developing a Clinician-Friendly Online Dynamic Nomogram for Survival Prediction in Colon Cancer Patients.Annals of gastroenterological surgery · 2026Article
- A nomogram for predicting ICU mortality of sepsis associated encephalopathy: a retrospective cohort study based on MIMIC-IV and eICU-CRD.BMC medical informatics and decision making · 2025Article
- Development and validation of a nomogram for in-hospital mortality prediction in acute myocardialinfarction patients with cardiac arrest undergoing percutaneous coronary intervention supported by veno-arterial extracorporeal membrane oxygenation.European journal of medical research · 2025Article
- Risk factor analysis and predictive nomogram development for in-hospital mortality in patients with ST-segment elevation myocardial infarction.BMC medical informatics and decision making · 2025Article
- Dynamic nomogram for predicting long-term survival in patients with brain abscess.Chinese neurosurgical journal · 2025Article
- [Nomogram prediction model for factors associated with vascular plaques in a physical examination population].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025Article
- Predicting ICU Delirium in Critically Ill COVID-19 Patients Using Demographic, Clinical, and Laboratory Admission Data: A Machine Learning Approach.Life (Basel, Switzerland) · 2025Article
- Development and Validation of a Predictive Model of Prostate Screening Compliance: A Nationwide Population-Based Study.The Prostate · 2025Observational
- Analysis of risk factors and predictive value of a nomogram model for sepsis in patients with diabetic foot.World journal of diabetes · 2025Article
- Development of a nomogram to predict in-ICU mortality of elderly patients with sepsis-associated liver injury: an analysis of the MIMIC-IV database.Frontiers in medicine · 2025Article
- Early detection of mild cognitive impairment utilizing ocular biomarker-based risk scoring nomogram.Frontiers in aging neuroscience · 2025Article
- Health Management of Type 2 Diabetes Mellitus and Its Complications: A Machine Learning Algorithm-Based Retrospective Study in Chinese Communities.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
31 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Translational Statistics proposes to promote the use of Statistics within research and improve the communication of statistical findings in an accurate and accessible manner to diverse audiences. When statistical models become more complex, it becomes harder to evaluate the role of explanatory variables on the response. For example, the interpretation and communication of the effect of predictors in regression models where interactions or smoothing splines are included can be challenging. Informative graphical representations of statistical models play a critical translational role; static nomograms are one such useful tool to visualise statistical models. In this paper, we propose the use of dynamic nomogram as a translational tool which can accommodate models of increased complexity. In theory, all models appearing in the literature could be accompanied by the corresponding dynamic nomogram to translate models in an informative manner. The R package presented will facilitate this communication for a variety of linear and non-linear models.
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