The“Newcastle Nomogram”—Statistical modelling predicts malignant transformation in potentially malignant disorders-Reference-Cited by-同舟云学术

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The“Newcastle Nomogram”—Statistical modelling predicts malignant transformation in potentially malignant disorders

Published:2019-06-12 Issue:8 Volume:48 Page:662-668
ISSN:0904-2512
Container-title:Journal of Oral Pathology & Medicine
language:en
Short-container-title:J Oral Pathol Med

Author:

Goodson Michaela L.¹,Smith Daniel R.¹,Thomson Peter J.²

Affiliation:

1. Newcastle University Medicine Malaysia Johor Malaysia

2. Oral & Maxillofacial Surgery, Faculty of Dentistry The University of Hong Kong Hong Kong SAR China

Funder

Newcastle upon Tyne Hospitals NHS Foundation Trust

Publisher

Wiley

Subject

Periodontics,Cancer Research,Otorhinolaryngology,Oral Surgery,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jop.12881

Reference22 articles.

1. Oral Carcinogenesis

2. Treatment and follow-up of oral dysplasia - A systematic review and meta-analysis

3. Managing oral potentially malignant disorders:A question of risk

4. Interventional laser surgery: an effective surgical and diagnostic tool in oral precancer management

5. Clinical Outcome Following Oral Potentially Malignant Disorder Treatment: A 100 Patient Cohort Study

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine learning methods in predicting the risk of malignant transformation of oral potentially malignant disorders: A systematic review;International Journal of Medical Informatics;2024-06

2. Validity of nomograms for predicting cancer risk in oral leukoplakia and oral lichen planus;Oral Diseases;2023-11-27

3. Predicting oral cancer survival—Development and validation of an Asia‐Pacific nomogram;Journal of Oral Pathology & Medicine;2023-05-29

4. Predicting oral cancer risk in patients with oral leukoplakia and oral lichenoid mucositis using machine learning;Journal of Big Data;2023-03-30

5. Development and validation of a nomogram prediction model for malignant transformation of oral potentially malignant disorders;Oral Oncology;2021-12

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