A Simplified Diagnostic Classification Scheme of Chemotherapy-Induced Peripheral Neuropathy
| العنوان: | A Simplified Diagnostic Classification Scheme of Chemotherapy-Induced Peripheral Neuropathy |
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| المؤلفون: | Chou Ching K. Lin, Peng Chan Lin, Pei Ying Wu, Han Wei Huang, Pei Fang Su, Keng Fu Hsu, Chung I. Li, Meng Ru Shen, Yu Min Yeh, Jang Yang Chang |
| المصدر: | Disease Markers, Vol 2020 (2020) Disease Markers |
| بيانات النشر: | Hindawi Limited, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Adult, Male, medicine.medical_specialty, Medicine (General), Multivariate analysis, Article Subject, Genital Neoplasms, Female, Clinical Biochemistry, Antineoplastic Agents, Severity of Illness Index, 03 medical and health sciences, 0302 clinical medicine, R5-920, Internal medicine, Severity of illness, mental disorders, Genetics, medicine, Humans, Prospective Studies, Medical diagnosis, Prospective cohort study, Molecular Biology, Aged, Aged, 80 and over, business.industry, Biochemistry (medical), Peripheral Nervous System Diseases, General Medicine, Middle Aged, medicine.disease, Confidence interval, Peripheral neuropathy, Early Diagnosis, 030220 oncology & carcinogenesis, Quality of Life, Clinical Study, Female, Radiculopathies, business, Colorectal Neoplasms, Polyneuropathy, 030217 neurology & neurosurgery, Algorithms, Unsupervised Machine Learning |
| الوصف: | Background and Objective. The main purpose of this study was to develop a simple automatic diagnostic classification scheme for chemotherapy-induced peripheral neuropathy. Methods. This was a prospective cohort study that enrolled patients with colorectal or gynecologic cancer post chemotherapy for more than 1 year. The patients underwent laboratory examinations (nerve conduction studies and quantitative sensory tests), and a questionnaire about the quality of life. An unsupervised classification algorithm was used to classify the patients into groups using a small number of variables derived from the laboratory tests. A panel of five neurologists also diagnosed the types of neuropathies according to the laboratory tests. The results by the unsupervised classification algorithm and the neurologists were compared. Results. The neurologists’ diagnoses showed much higher rates of entrapment syndromes (66.1%) and radiculopathies (55.1%) than polyneuropathy (motor/sensory: 33.1%/29.7%). A multivariate analysis showed that the questionnaire was not significantly correlated with the results of quantitative sensory tests (r=0.27) or the neurologists’ diagnoses (r=0.2). All of the patients were classified into four groups by the unsupervised classification algorithm. The classification corresponded to the severity of neuropathy and correlated well with the neurologists’ diagnoses and the scales of neurological examinations. The overall correct rate of classification by the unsupervised classification algorithm was 78.8% (95% confidence interval: 73.1%-88.3%). Conclusion. The results of our unsupervised classification algorithm based on three variables of laboratory tests correlated well with the neurologists’ diagnoses. |
| وصف الملف: | text/xhtml |
| اللغة: | English |
| تدمد: | 1875-8630 0278-0240 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15da055fd73df8013b8783fa54af847aTest https://doaj.org/article/bf9cd568315246508cc9f893b5fd8438Test |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....15da055fd73df8013b8783fa54af847a |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 18758630 02780240 |
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