Literature DB >> 17898950

Investigation of common symptoms of cancer and reliability analysis.

Yi Zhao1, Xin Shelley Wang, Ping-ping Li.   

Abstract

OBJECTIVE: To identify cancer distribution and treatment requirements, a questionnaire on cancer patients was conducted. It was our objective to validate a series of symptoms commonly used in traditional Chinese medicine (TCM).
METHODS: The M. D. Anderson Symptom Assessment Inventory (MDASI) was used with 10 more TCM items added. Questions regarding TCM application requested in cancer care were also asked. A multi-center, cross-sectional study was conducted in 340 patients from 4 hospitals in Beijing and Dalian. SPSS and Excel software were adopted for statistical analysis. The questionnaire was self-evaluated with the Cronbach's alpha score.
RESULTS: The most common symptoms were fatigue 89.4%, sleep disturbance 74.4%, dry mouth 72.9%, poor appetite 72.9%, and difficulty remembering 71.2%. These symptoms affected work (89.8%), mood (82.6%), and activity (76.8%), resulting in poor quality of life. Eighty percent of the patients wanted to regulate the body with TCM. Almost 100% of the patients were interested in acquiring knowledge regarding the integrated traditional Chinese medicine (TCM) and Western medicine (WM) in the treatment and rehabilitation of cancer. Cronbach's alpha score indicated that there was acceptable internal consistency within both the MDASI and TCM items, 0.86 for MDASI, 0.78 for TCM, and 0.90 for MDASI-TCM (23 items).
CONCLUSIONS: Fatigue, sleep disturbance, dry mouth, poor appetite, and difficulty remembering are the most common symptoms in cancer patients. These greatly affect the quality of life for these patients. Patients expressed a strong desire for TCM holistic regulation. The MDASI and its TCM-adapted model could be a critical tool for the quantitative study of TCM symptoms.

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Year:  2007        PMID: 17898950     DOI: 10.1007/s11655-007-0195-5

Source DB:  PubMed          Journal:  Chin J Integr Med        ISSN: 1672-0415            Impact factor:   1.978


  5 in total

Review 1.  Fatigue in patients with advanced cancer: a review.

Authors:  E A Barnes; E Bruera
Journal:  Int J Gynecol Cancer       Date:  2002 Sep-Oct       Impact factor: 3.437

2.  Chinese version of the M. D. Anderson Symptom Inventory: validation and application of symptom measurement in cancer patients.

Authors:  Xin Shelley Wang; Ying Wang; Hong Guo; Tito R Mendoza; Xi-Shan Hao; Charles S Cleeland
Journal:  Cancer       Date:  2004-10-15       Impact factor: 6.860

3.  Impact of cancer-related fatigue on the lives of patients: new findings from the Fatigue Coalition.

Authors:  G A Curt; W Breitbart; D Cella; J E Groopman; S J Horning; L M Itri; D H Johnson; C Miaskowski; S L Scherr; R K Portenoy; N J Vogelzang
Journal:  Oncologist       Date:  2000

4.  Assessing symptom distress in cancer patients: the M.D. Anderson Symptom Inventory.

Authors:  C S Cleeland; T R Mendoza; X S Wang; C Chou; M T Harle; M Morrissey; M C Engstrom
Journal:  Cancer       Date:  2000-10-01       Impact factor: 6.860

5.  Development of a cancer pain assessment tool in Korea: a validation study of a Korean version of the brief pain inventory.

Authors:  Young Ho Yun; Tito R Mendoza; Dae Seog Heo; Taiwoo Yoo; Bong Yul Heo; Hyeoun-Ae Park; Ho Cheol Shin; Xin Shelley Wang; Charles S Cleeland
Journal:  Oncology       Date:  2004       Impact factor: 2.935

  5 in total
  3 in total

1.  Congruence in symptom assessment between hepatocellular carcinoma patients and their primary family caregivers in China.

Authors:  Xiang-Yan Liu; Jie Shen; Zhi-Xia Ye; Juan Li; Wen-Ting Cao; Chen Hu; Yan Xu
Journal:  Support Care Cancer       Date:  2013-05-08       Impact factor: 3.603

Review 2.  Systematic review of sleep disorders in cancer patients: can the prevalence of sleep disorders be ascertained?

Authors:  Julie L Otte; Janet S Carpenter; Shalini Manchanda; Kevin L Rand; Todd C Skaar; Michael Weaver; Yelena Chernyak; Xin Zhong; Christele Igega; Carol Landis
Journal:  Cancer Med       Date:  2014-11-30       Impact factor: 4.452

3.  A multicenter randomized controlled open-label trial to assess the efficacy of compound kushen injection in combination with single-agent chemotherapy in treatment of elderly patients with advanced non-small cell lung cancer: study protocol for a randomized controlled trial.

Authors:  Xue-Qian Wang; Jie Liu; Hong-Sheng Lin; Wei Hou
Journal:  Trials       Date:  2016-03-08       Impact factor: 2.279

  3 in total

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