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Ugarte S, Yarnold P, Ray P, Knopf K, Hoque S, Taylor M, Bennett CL. Maximum Accuracy Machine Learning Statistical Analysis-A Novel Approach. Cancer Treat Res 2022; 184:113-127. [PMID: 36449192 DOI: 10.1007/978-3-031-04402-1_8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Logistic regression is a statistical tool of paramount significance in the field of epidemiology1 and ranks as one of the most frequently published multivariable analyses for designs involving a single binary dependent variable and one or more independent variables in the fields of public health2,3 and medical4 research.
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Affiliation(s)
- Shannon Ugarte
- SONAR (Southern Network on Adverse Reactions) Program, University of South Carolina College of Pharmacy, Columbia, SC, 29208, USA
| | - Paul Yarnold
- SONAR (Southern Network on Adverse Reactions) Program, University of South Carolina College of Pharmacy, Columbia, SC, 29208, USA
| | - Paul Ray
- SONAR (Southern Network on Adverse Reactions) Program, University of South Carolina College of Pharmacy, Columbia, SC, 29208, USA
| | - Kevin Knopf
- SONAR (Southern Network on Adverse Reactions) Program, University of South Carolina College of Pharmacy, Columbia, SC, 29208, USA
| | - Shamia Hoque
- SONAR (Southern Network on Adverse Reactions) Program, University of South Carolina College of Pharmacy, Columbia, SC, 29208, USA
| | - Matthew Taylor
- SONAR (Southern Network on Adverse Reactions) Program, University of South Carolina College of Pharmacy, Columbia, SC, 29208, USA
| | - Charles L Bennett
- SONAR (Southern Network on Adverse Reactions) Program, University of South Carolina College of Pharmacy, Columbia, SC, 29208, USA.
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He Y, Zhang H, Li Y, Long S, Xiao S, May BH, Lin Zhang A, Guo X, Xue CC, Lu C. Acupuncture combined with opioids for cancer pain: a pilot pragmatic randomized controlled trial. Acupunct Med 2021; 40:133-141. [PMID: 34755569 DOI: 10.1177/09645284211056016] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
OBJECTIVE Given the existing evidence for the analgesic effect of acupuncture, the current study aimed to assess whether acupuncture could be feasible and manageable as an adjunctive therapy for cancer pain in a real-world hospital setting. METHODS Thirty patients in an Oncology department with moderate or severe pain were recruited and randomized to an adjunctive acupuncture group or control group, who received pharmacotherapy for pain management without acupuncture. The duration of the treatment course was 1 week with a 2-week follow-up. In total, four acupuncture sessions were administered, on days 1/2/4/6 of the trial. Pain intensity was measured using a numerical rating scale (NRS) and the daily opioid dose was recorded. RESULTS The overall trends favored acupuncture for both pain intensity and daily opioid consumption. The proportion of participants experiencing at least a 2-point reduction in the NRS at the end of the treatment was 93% (n = 14/15) for the acupuncture group and 57% (n = 8/14) for the control group (risk difference (RD) 36.1%, 95% confidence interval (CI) [7.4%-65.0%]; relative risk (RR) 1.63, 95% CI [1.02-2.62]; p = 0.04). There were no serious adverse events and no dropouts during the treatment. CONCLUSION This pilot study showed that adding acupuncture to routine analgesia for patients with cancer pain was feasible and acceptable to patients. The clinical effects of adding acupuncture as an adjunctive therapy need to be further evaluated. CLINICAL TRIAL REGISTRATION NUMBER ChiCTR1800017023 (Chinese Clinical Trial Registry).
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Affiliation(s)
- Yihan He
- China-Australia International Research Centre for Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, China.,China-Australia International Research Centre for Chinese Medicine, School of Health and Biomedical Sciences, RMIT University, Melbourne, VIC, Australia
| | - Haibo Zhang
- Department of Oncology, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, China
| | - Yifang Li
- Department of Traditional Therapy, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, China
| | - Shunqin Long
- Department of Oncology, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, China
| | - Shujing Xiao
- Department of Oncology, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, China
| | - Brian H May
- China-Australia International Research Centre for Chinese Medicine, School of Health and Biomedical Sciences, RMIT University, Melbourne, VIC, Australia
| | - Anthony Lin Zhang
- China-Australia International Research Centre for Chinese Medicine, School of Health and Biomedical Sciences, RMIT University, Melbourne, VIC, Australia
| | - Xinfeng Guo
- China-Australia International Research Centre for Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, China
| | - Charlie Changli Xue
- China-Australia International Research Centre for Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, China.,China-Australia International Research Centre for Chinese Medicine, School of Health and Biomedical Sciences, RMIT University, Melbourne, VIC, Australia
| | - Chuanjian Lu
- China-Australia International Research Centre for Chinese Medicine, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, China.,China-Australia International Research Centre for Chinese Medicine, School of Health and Biomedical Sciences, RMIT University, Melbourne, VIC, Australia.,Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, Guangzhou, China
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