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Xu YY, Li QY, Yi DH, Chen Y, Zhai JW, Zhang T, Sun LY, Yang YF. Dynamic Treatment Strategy of Chinese Medicine for Metastatic Colorectal Cancer Based on Machine Learning Algorithm. Chin J Integr Med 2024:10.1007/s11655-024-3718-4. [PMID: 38532153 DOI: 10.1007/s11655-024-3718-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/23/2023] [Indexed: 03/28/2024]
Abstract
OBJECTIVE To establish the dynamic treatment strategy of Chinese medicine (CM) for metastatic colorectal cancer (mCRC) by machine learning algorithm, in order to provide a reference for the selection of CM treatment strategies for mCRC. METHODS From the outpatient cases of mCRC in the Department of Oncology at Xiyuan Hospital, China Academy of Chinese Medical Sciences, 197 cases that met the inclusion criteria were screened. According to different CM intervention strategies, the patients were divided into 3 groups: CM treatment alone, equal emphasis on Chinese and Western medicine treatment (CM combined with local treatment of tumors, oral chemotherapy, or targeted drugs), and CM assisted Western medicine treatment (CM combined with intravenous regimen of Western medicine). The survival time of patients undergoing CM intervention was taken as the final evaluation index. Factors affecting the choice of CM intervention scheme were screened as decision variables. The dynamic CM intervention and treatment strategy for mCRC was explored based on the cost-sensitive classification learning algorithm for survival (CSCLSurv). Patients' survival was estimated using the Kaplan-Meier method, and the survival time of patients who received the model-recommended treatment plan were compared with those who received actual treatment plan. RESULTS Using the survival time of patients undergoing CM intervention as the evaluation index, a dynamic CM intervention therapy strategy for mCRC was established based on CSCLSurv. Different CM intervention strategies for mCRC can be selected according to dynamic decision variables, such as gender, age, Eastern Cooperative Oncology Group score, tumor site, metastatic site, genotyping, and the stage of Western medicine treatment at the patient's first visit. The median survival time of patients who received the model-recommended treatment plan was 35 months, while those who receive the actual treatment plan was 26.0 months (P=0.06). CONCLUSIONS The dynamic treatment strategy of CM, based on CSCLSurv for mCRC, plays a certain role in providing clinical hints in CM. It can be further improved in future prospective studies with larger sample sizes.
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Affiliation(s)
- Yu-Ying Xu
- Department of Oncology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, 100091, China
| | - Qiu-Yan Li
- Department of Oncology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, 100091, China
| | - Dan-Hui Yi
- School of Statistics, Renmin University of China, Beijing, 100872, China
| | - Yue Chen
- Graduate School, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Jia-Wei Zhai
- Graduate School, Beijing University of Chinese Medicine, Beijing, 100029, China
| | - Tong Zhang
- Department of Oncology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, 100091, China
| | - Ling-Yun Sun
- Department of Oncology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, 100091, China
| | - Yu-Fei Yang
- Department of Oncology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, 100091, China.
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Sun L, Pang Y, Wang Z, Liu J, Peng R, Yan Y, Yang Y, Tang L. Effect of traditional Chinese medicine combined group psychotherapy on psychological distress management and gut micro-biome regulation for colorectal cancer survivors: a single-arm phase I clinical trial. Support Care Cancer 2023; 31:698. [PMID: 37964024 DOI: 10.1007/s00520-023-08131-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 10/19/2023] [Indexed: 11/16/2023]
Abstract
OBJECTIVE To evaluate the efficacy and feasibility of utilizing Traditional Chinese Medicine (TCM) combined group psychotherapy intervention on psychological distress management and gut micro-biome regulation for colorectal (CRC) survivors. METHODS A single-arm phase I clinical trial was conducted between December 2020 and December 2021 in Xiyuan Hospital and Beijing Cancer Hospital in China. Inclusion criteria included stage I-III CRC survivors after radical surgery with age between 18 and 75. The intervention was a 6-week online TCM combined group psychotherapy intervention including 90-min communication, TCM lifestyle coaching, self-acupressure guidance, and mindfulness practice led by TCM oncologist and psychiatrist each week. Outcomes were measured by Self-rating Anxiety Scale (SAS), Self-rating Depression Scale (SDS), Fear of Cancer Recurrence Inventor (FCRI), and Quality of Life Questionnaire (QLQ-C30). Fecal samples before and after intervention were collected for 16Sr RNA analysis. RESULTS We recruited 40 CRC survivors and 38 of them finally completed all interventions with average age of 58±13 years' old. Paired t-test showed that SAS at week 2(35.4±5.8), week 4 (37.9±10.5) and week 6 (31.3±6.4) during the intervention was significantly lower than baseline (42.1±8.3, p<0.05 respectively). SDS score also declined substantially from baseline (38.8±10.7) to week 2 (28.3±8.8, p<0.001) and week 6 (25.4±7.7, p<0.001). FCRI decreased from 19.4±7.2 at baseline to 17.5±7.1 at week 4 (p=0.038) and 16.3±5.8 at week 6 (p=0.008). Although changes of QLQ-C30 were not statistically prominent, symptom burden of insomnia and fatigue significantly alleviated. The abundances of gut microbiota Intestinibacter, Terrisporobacter, Coprobacter, and Gordonibacter were all significantly elevated after intervention. CONCLUSIONS TCM combined group psychotherapy intervention is feasible and effective to reduce CRC survivors' psychological distress and modulate certain gut bacteria which might be associated with brain-gut axis effect. It is necessary to carry out with phase II randomized controlled clinical trial.
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Affiliation(s)
- Lingyun Sun
- Oncology Department, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, 100091, China
| | - Ying Pang
- Rehabilitation Department, Beijing Cancer Hospital, Beijing, China
| | - Zixu Wang
- Clinical Basic Research Center, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jiaxi Liu
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Rongyan Peng
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Yunzi Yan
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Yufei Yang
- Oncology Department, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, 100091, China
| | - Lili Tang
- Rehabilitation Department, Beijing Cancer Hospital, Beijing, China.
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Tang M, Gao L, He B, Yang Y. Machine learning based prognostic model of Chinese medicine affecting the recurrence and metastasis of I-III stage colorectal cancer: A retrospective study in China. Front Oncol 2022; 12:1044344. [PMID: 36465374 PMCID: PMC9714626 DOI: 10.3389/fonc.2022.1044344] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 10/31/2022] [Indexed: 06/30/2024] Open
Abstract
BACKGROUND To construct prognostic model of colorectal cancer (CRC) recurrence and metastasis (R&M) with traditional Chinese medicine (TCM) factors based on different machine learning (ML) methods. Aiming to offset the defects in the existing model lacking TCM factors. METHODS Patients with stage I-III CRC after radical resection were included as the model data set. The training set and the internal verification set were randomly divided at a ratio of 7: 3 by the "set aside method". The average performance index and 95% confidence interval of the model were calculated by repeating 100 tests. Eight factors were used as predictors of Western medicine. Two types of models were constructed by taking "whether to accept TCM intervention" and "different TCM syndrome types" as TCM predictors. The model was constructed by four ML methods: logistic regression, random forest, Extreme Gradient Boosting (XGBoost) and support vector machine (SVM). The predicted target was whether R&M would occur within 3 years and 5 years after radical surgery. The area under curve (AUC) value and decision curve analysis (DCA) curve were used to evaluate accuracy and utility of the model. RESULTS The model data set consisted of 558 patients, of which 317 received TCM intervention after radical resection. The model based on the four ML methods with the TCM factor of "whether to accept TCM intervention" showed good ability in predicting R&M within 3 years and 5 years (AUC value > 0.75), and XGBoost was the best method. The DCA indicated that when the R&M probability in patients was at a certain threshold, the models provided additional clinical benefits. When predicting the R&M probability within 3 years and 5 years in the model with TCM factors of "different TCM syndrome types", the four methods all showed certain predictive ability (AUC value > 0.70). With the exception of the model constructed by SVM, the other methods provided additional clinical benefits within a certain probability threshold. CONCLUSION The prognostic model based on ML methods shows good accuracy and clinical utility. It can quantify the influence degree of TCM factors on R&M, and provide certain values for clinical decision-making.
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Affiliation(s)
- Mo Tang
- Oncology Department, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing, China
| | - Lihao Gao
- Smart City Business Unit, Baidu Inc., Beijing, China
| | - Bin He
- Oncology Department, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing, China
| | - Yufei Yang
- Oncology Department, Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing, China
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Li L, Qu Q, Cui N, Cai L, Zou J, Wu J, Hao T, Wu Y. Efficacy of jianpi huatan granule in reducing colorectal cancer metastasis and recurrence after radical resection and adjuvant chemotherapy: Study protocol for a randomised, double-blind, placebo-controlled, multicentre trial. Front Pharmacol 2022; 13:944475. [PMID: 36176445 PMCID: PMC9513522 DOI: 10.3389/fphar.2022.944475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Accepted: 08/24/2022] [Indexed: 12/24/2022] Open
Abstract
Background: The high incidence and mortality rates of colorectal cancer (CRC) are a severe challenge in China. In patients with stage III and high-risk stage II CRC after radical resection and postoperative adjuvant chemoradiotherapy, 40–60% experience recurrence and metastasis. Several years of clinical practice have shown that traditional Chinese medicine, including Jianpi Huatan granule (JHG), effectively prevents stage III and high-risk stage II CRC recurrence and metastasis after radical resection and postoperative standard adjuvant chemotherapy. However, high-level systematic plans and evidence-based medicine are lacking in this regard. Therefore, this randomised control trial aimes to determine the efficacy of JHG in reducing stage III and high-risk stage II CRC metastasis and recurrence after radical resection and postoperative standard adjuvant chemotherapy. Methods: This is a multicentre, randomised, double-blind, placebo-controlled clinical trial. Three hundred and fifty patients with stage III or high-risk stage II CRC who completed adjuvant chemotherapy after radical resection will be recruited from eight medical centres in China and randomly assigned to test (n = 175) and control (n = 175) groups at a ratio of 1:1. The test group will receive oral JHG for 3 months, whereas the control group will receive oral placebo for 3 months. The primary outcomes will be the disease-free survival and 1-, 2-, and 3-years metastasis and recurrence rates, whereas the secondary outcomes will be quality of life and circulating tumour cells. The patients will be followed-up monthly during treatment and every 3–6 months thereafter until recurrence, metastasis, death, or the end of the study. Trial registration: This trial was registered at ClinicalTrials.gov (NCT03716063).
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Affiliation(s)
- Liusheng Li
- Department of Oncology, Xiyuan Hospital, Chinese Academy of Traditional Chinese Medicine, Beijing, China
| | - Qian Qu
- College of Integrated Traditional Chinese and Western Medicine, Binzhou Medical University, Binzhou, China
| | - Ning Cui
- Department of Oncology, Xiyuan Hospital, Chinese Academy of Traditional Chinese Medicine, Beijing, China
| | - Linlin Cai
- Department of Oncology, Xiyuan Hospital, Chinese Academy of Traditional Chinese Medicine, Beijing, China
| | - Jianhua Zou
- Department of Oncology, Xiyuan Hospital, Chinese Academy of Traditional Chinese Medicine, Beijing, China
| | - Jiao Wu
- Department of Oncology, Xiyuan Hospital, Chinese Academy of Traditional Chinese Medicine, Beijing, China
| | - Tengteng Hao
- Department of Oncology, Xiyuan Hospital, Chinese Academy of Traditional Chinese Medicine, Beijing, China
- *Correspondence: Tengteng Hao, ; Yu Wu,
| | - Yu Wu
- Department of Oncology, Xiyuan Hospital, Chinese Academy of Traditional Chinese Medicine, Beijing, China
- *Correspondence: Tengteng Hao, ; Yu Wu,
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Ji X, Su J, Liu X, Mao Z, Zhang W, Zhang J, Sun X, Han X. Childhood cancer survivorship in China: An overview of the past two decades. Cancer Med 2022; 11:4588-4601. [PMID: 35599452 PMCID: PMC9741979 DOI: 10.1002/cam4.4831] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Revised: 03/04/2022] [Accepted: 05/04/2022] [Indexed: 12/15/2022] Open
Abstract
Across countries in the world, China has the largest population of childhood cancer survivors. Research and care for the childhood cancer survivor population in China is fragmented. We searched studies published in English or Chinese language between January 1, 2000 and June 30, 2021, which examined various aspects of childhood cancer survivorship in China. The existing China-focused studies were largely based on a single institution, convenient samplings with relatively small sample sizes, restricted geographic areas, cross-sectional design, and focused on young survivors in their childhood or adolescence. These studies primarily focused on the physical late effects of cancer and its treatment, as well as the inferior psychological wellbeing among childhood cancer survivors, with few studies examining financial hardship, health promotion, and disease prevention, or healthcare delivery in survivorship. Our findings highlight the urgent need for research and evidence-based survivorship care to serve the childhood cancer survivor population in China.
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Affiliation(s)
- Xu Ji
- Department of PediatricsEmory University School of MedicineAtlantaGeorgiaUSA,Aflac Cancer and Blood Disorders CenterChildren's Healthcare of AtlantaAtlantaGeorgiaUSA
| | - Jun Su
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of MedicineShandong UniversityJinanShandongChina,NHC Key Lab of Health Economics and Policy Research (Shandong University)JinanShandongChina
| | - Xinyu Liu
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of MedicineShandong UniversityJinanShandongChina,NHC Key Lab of Health Economics and Policy Research (Shandong University)JinanShandongChina
| | - Ziling Mao
- Surveillance and Health Equity ScienceAmerican Cancer SocietyAtlantaGeorgiaUSA,Department of Epidemiology, Graduate School of Public HealthUniversity of PittsburghPittsburghPennsylvaniaUSA
| | - Wenjing Zhang
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of MedicineShandong UniversityJinanShandongChina,NHC Key Lab of Health Economics and Policy Research (Shandong University)JinanShandongChina
| | - Jinhe Zhang
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of MedicineShandong UniversityJinanShandongChina,NHC Key Lab of Health Economics and Policy Research (Shandong University)JinanShandongChina
| | - Xiaojie Sun
- Center for Health Management and Policy Research, School of Public Health, Cheeloo College of MedicineShandong UniversityJinanShandongChina,NHC Key Lab of Health Economics and Policy Research (Shandong University)JinanShandongChina
| | - Xuesong Han
- Surveillance and Health Equity ScienceAmerican Cancer SocietyAtlantaGeorgiaUSA
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Mao JJ, Pillai GG, Andrade CJ, Ligibel JA, Basu P, Cohen L, Khan IA, Mustian KM, Puthiyedath R, Dhiman KS, Lao L, Ghelman R, Cáceres Guido P, Lopez G, Gallego-Perez DF, Salicrup LA. Integrative oncology: Addressing the global challenges of cancer prevention and treatment. CA Cancer J Clin 2022; 72:144-164. [PMID: 34751943 DOI: 10.3322/caac.21706] [Citation(s) in RCA: 132] [Impact Index Per Article: 66.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 10/04/2021] [Accepted: 10/05/2021] [Indexed: 12/15/2022] Open
Abstract
The increase in cancer incidence and mortality is challenging current cancer care delivery globally, disproportionally affecting low- and middle-income countries (LMICs) when it comes to receiving evidence-based cancer prevention, treatment, and palliative and survivorship care. Patients in LMICs often rely on traditional, complementary, and integrative medicine (TCIM) that is more familiar, less costly, and widely available. However, spheres of influence and tensions between conventional medicine and TCIM can further disrupt efforts in evidence-based cancer care. Integrative oncology provides a framework to research and integrate safe, effective TCIM alongside conventional cancer treatment and can help bridge health care gaps in delivering evidence-informed, patient-centered care. This growing field uses lifestyle modifications, mind and body therapies (eg, acupuncture, massage, meditation, and yoga), and natural products to improve symptom management and quality of life among patients with cancer. On the basis of this review of the global challenges of cancer control and the current status of integrative oncology, the authors recommend: 1) educating and integrating TCIM providers into the cancer control workforce to promote risk reduction and culturally salient healthy life styles; 2) developing and testing TCIM interventions to address cancer symptoms or treatment-related adverse effects (eg, pain, insomnia, fatigue); and 3) disseminating and implementing evidence-based TCIM interventions as part of comprehensive palliative and survivorship care so patients from all cultures can live with or beyond cancer with respect, dignity, and vitality. With conventional medicine and TCIM united under a cohesive framework, integrative oncology may provide citizens of the world with access to safe, effective, evidence-informed, and culturally sensitive cancer care.
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Affiliation(s)
- Jun J Mao
- Bendheim Integrative Medicine Center, Memorial Sloan Kettering Cancer Center, New York, New York
| | - Geetha Gopalakrishna Pillai
- Traditional, Complementary and Integrative Medicine Unit, Service Delivery and Safety Department, World Health Organization, Geneva, Switzerland
| | | | - Jennifer A Ligibel
- Leonard P. Zakim Center for Integrative Therapies and Healthy Living, Dana-Farber Cancer Institute, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Partha Basu
- International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Lorenzo Cohen
- Integrative Medicine Program, Department of Palliative, Rehabilitation and Integrative Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Ikhlas A Khan
- National Center for Natural Products Research, University of Mississippi, Jackson, Mississippi
| | - Karen M Mustian
- Wilmot Cancer Institute, Department of Surgery, University of Rochester Medical Center, Rochester, New York
| | | | | | - Lixing Lao
- Virginia University of Integrative Medicine, Fairfax, Virginia
| | - Ricardo Ghelman
- Brazilian Academic Consortium for Integrative Health, University of São Paulo, São Paulo, Brazil
| | - Paulo Cáceres Guido
- Pharmacokinetics and Research in Clinical Pharmacology and Integrative Medicine Group, Garrahan Pediatric Hospital, Buenos Aires, Argentina
- Traditional, Complementary, and Integrative Medicine Network of the Americas, São Paulo, Brazil
| | - Gabriel Lopez
- Integrative Medicine Program, Department of Palliative, Rehabilitation and Integrative Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Daniel F Gallego-Perez
- Traditional, Complementary, and Integrative Medicine Network of the Americas, São Paulo, Brazil
- Boston University School of Public Health, Boston, Massachusetts
| | - Luis Alejandro Salicrup
- Center for Global Health and Office of Cancer Complementary and Alternative Medicine, Division of Cancer Treatment and Diagnosis, National Cancer Institute, National Institutes of Health, Rockville, Maryland
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Asare C, Aziato L, Boamah D. Facilitators and barriers to the clinical administration of herbal medicine in Ghana: a qualitative study. BMC Complement Med Ther 2021; 21:182. [PMID: 34193131 PMCID: PMC8247187 DOI: 10.1186/s12906-021-03334-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2020] [Accepted: 05/20/2021] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND Herbal medicine administration in conventional health care services is gaining popularity lately. Much has not been documented on the perceived enhancers and challenges to herbal medicine administration at the hospital. The study sought to explore the facilitators and barriers to the clinical administration of herbal medicine in Ghana. METHOD Qualitative descriptive exploratory design was employed. Fourteen participants among the consented and purposively sampled nurses were interviewed. Data was transcribed and analysed using content analysis. RESULTS The participants disclosed that facilitators to the clinical administration of herbal medicine include doctors' prescription, affordability of herbal medications by patients, patients' willingness to use herbal medicine and availability of herbal medicine. Barriers to the clinical administration of herbal medicine were inadequate knowledge on herbal medicine, lack of publicity, unclear integration, lack of collaboration and policies on herbal medicine administration at the hospital. Other barriers were negative mindset of patients and lack of national health insurance scheme (NHIS) coverage. CONCLUSION Clinical administration of herbal medicine is faced with an array of challenges. Doctor's prescription, nursing education on herbal medicine and NHIS coverage of herbal medicine are imperative to improve herbal medicine administration in hospitals. Herbal medicine addition into mainstream health care services is surging high in many countries. This study aimed at finding out what nurses consider as the issues that make it easy or difficult to serve herbal medicine in the hospital. Qualitative method was employed, in-depth face-to-face interviews were conducted and data collected was typed verbatim. The typed data was content analysed and findings supported with the nurses' statements. The findings of the study showed that facilitators to the clinical use of herbal medicine include doctors' prescription, affordability of the herbal drug, patient's willingness to use the herbal medication, patient's belief about herbal medicine and availability of herbal medicine. Challenges to the clinical use of herbal medicine disclosed were lack of knowledge on herbal medicine, lack of publicity, unclear integration, lack of collaboration between health professionals and herbal medicine providers. Other barriers include negative mindset of patients and lack of national health insurance (NHIS) coverage. The researchers came to a consensus that nurses need further training on herbal medicine to enhance herbal medicine use at the hospital. Health professionals need to collaborate with herbal medicine service providers and NHIS must be reviewed to cover herbal medications.
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Affiliation(s)
- Comfort Asare
- School of Nursing, Wisconsin International University College. Ghana, P.O. Box KS 5903, Adum Kumasi, Ghana
| | - Lydia Aziato
- Department of Adult Health, School of Nursing, University of Ghana, Legon Accra, Ghana
| | - Daniel Boamah
- Centre for Plant Medicine Research, Mampong Akuapem,, Ghana
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Abstract
Despite wide empirical use and demand for traditional Chinese medicine (TCM) herbs worldwide, high-quality clinical trials of TCM herbs in oncology are limited. We developed recommendations for rigorous clinical trials to evaluate their safety and efficacy for oncology patients. To accomplish this goal, the TCM & Cancer Research Committee of the Chinese Pharmaceutical Association convened a working group of oncologists, TCM experts, clinical researchers, biostatisticians, and industry/government representatives to develop principles and approaches for TCM cancer drug clinical trials. They identified 2 categories of herbal drugs based on therapeutic intent: survival improvement and symptom management. The working group also emphasized the need to adopt international standards when appropriate for TCM herbal drug approval and to develop methodology to standardize diagnostic criteria, treatment approaches, and outcome measures according to defining TCM characteristics. These recommendations aim to improve study design and methods to inform rigorous investigation of TCM herbs in patients with cancer.
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Yang W, Hao X, Qu J, Wang L, Zhang M, Jiang Y, Liu Y. Collaborative networks and thematic trends of research on the application of complementary and alternative medicine in cancer patients: A bibliometric analysis. Complement Ther Clin Pract 2019; 37:58-67. [PMID: 31487580 DOI: 10.1016/j.ctcp.2019.08.008] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Revised: 08/27/2019] [Accepted: 08/28/2019] [Indexed: 12/18/2022]
Abstract
BACKGROUND and purpose: Complementary and Alternative Medicine(CAM) has been greatly used in cancer patients. This research aimed to explore the research priorities of CAM for cancer patient's treatment. METHODS Web of Science(WoS), HistCite, BibExcel, GunnMap and VOSviewer were used to extract and visualize information. RESULTS 2768 articles published in 789 journals were indexed in the WoS from 1989 to 2018. The USA(n = 1009) and Technion-Israel Institute Technology(n = 58) were the most prolific country and institution, respectively. Keywords co-occurrence analysis indicated that the research hotspots around the world formed five clusters, so did the author co-citation analysis. The research priorities of the top-five countries, the top-three prolific authors and the co-citation core authors were also discussed, which reveals the differences and similarities among them. CONCLUSION This study delineates a framework for better understanding the situational use of CAM in cancer patients, which could help health care workers to prioritize and organize future research.
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Affiliation(s)
- Weimei Yang
- Tongji Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, PR China
| | - Xinying Hao
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, 430072, PR China
| | - Jia Qu
- Tongji Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, PR China
| | - Lan Wang
- Tongji Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, PR China
| | - Meng Zhang
- Tongji Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, PR China
| | - Yun Jiang
- Tongji Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, PR China
| | - Yu Liu
- Tongji Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, PR China.
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Affiliation(s)
- Jun J. Mao
- Affiliation of author: Bendheim Integrative Medicine Center, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
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