Literature DB >> 33761662

Effectiveness of traditional Chinese medicine music therapy on anxiety and depression emotions of lung cancer patients: A protocol for systematic review and meta-analysis.

Xiaolin Jiang1, Jing Gao, Yuping Zheng.   

Abstract

BACKGROUND: Lung cancer patients often accompanied with severe depression and anxiety emotions, and those negative emotions could affects the treatment and recovery of the illness, decrease the patients' quality of life. In recent years, traditional Chinese medicine five-element music therapy (TCM-FEMT) is widely used for psychological problems of lung cancer patients for its unique advantages, TCM-FEMT applied to negative emotions management of lung cancer patients has been reported in many publications, but there is lacks evidence-based medicine, in this study, effectiveness of TCM-FEMT on anxiety and depression emotions of lung cancer patients will be systematically evaluated.
METHODS: PubMed, the Cochrane Library, Web of Science, Embase, Chinese Biomedical Literature Database, China National Knowledge Infrastructure, VIP Database, WanFang Database were electronically searched to collect RCTs on the efficacy of TCM-FEMT on anxiety and depression emotions of lung cancer patients from inception to February 2021. In addition, retrospect the references of the included literature to supplement the relevant literature. Research selection, data extraction and quality evaluation of literature will be carried out by 2 researchers, respectively. RevMan 5.3 software will be used for statistical analysis.
RESULTS: This study will comprehensively summarize the current trials to determine the effectiveness of TCM-FEMT on anxiety and depression emotions of lung cancer patients.
CONCLUSION: This study will provide comprehensive evidence for the efficacy of TCM-FEMT on anxiety and depression emotions of lung cancer patients.
Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc.

Entities:  

Mesh:

Year:  2021        PMID: 33761662      PMCID: PMC9282101          DOI: 10.1097/MD.0000000000025040

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.817


Introduction

According to the global cancer statistics 2018, Lung cancer is the most commonly diagnosed cancer and is the leading cause of cancer deaths worldwide. Most patients are already in the advanced stage when they are first diagnosed, due to the side effect of treatment, poor treatment effect and prognosis and heavy medical economic burden, patients frequently suffer from severe negative emotions such as depression and anxiety, the prevalence rates of anxiety and depression in lung cancer survivors are 34% and 33%, respectively. Those could affects the treatment and recovery of the illness, decrease the quality of life of patients. The World Health Organization has identified cancers as psychosocial diseases, in which stress is an important factor leading to negative emotions and cancers. Depression and other negative emotions could increase the incidence of cancer and promote the progression of cancer by disturbing neuroendocrine function and decreasing body's immunity.[4,5] Emotion management is very important for lung cancer patients. Music therapy, meditation, stress management, and yoga are recommended for anxiety and stress reduction. In recent years, music therapy is popular used for psychological problems of cancer patients for its positive efficacy, easily operation and high safety. And previous studies showed that music therapy was beneficial to the emotion regulation and symptom management of cancer patients and could help them develop a positive attitude toward the disease.[7-9] Especially, traditional Chinese medicine five-element music therapy (TCM-FEMT) as the traditional Chinese music therapy, which was based on the theories of Yin-Yang and Five-element, was part of the Traditional Chinese Medicine (TCM). It is divided into five tones (Jiao, Zhi, Gong, Shang, Yu) due to the nature of the music, which connect the five internal organs (Liver, Heart, Spleen, Lung, Kidney), and the five emotions (Anger, Joy, Anxiety, Worry, Fear). Through balancing Yin and Yang, regulating the circulation of chi and blood in the human body, TCM-FEMT help for both physically and psychologically. There were studies found that TCM-FEMT could ameliorate the depression and anxiety of lung cancer patients, and ultimately improve the quality of life.[12-14] But there is a lack of related systematic review to quantitatively evaluate its efficacy. Therefore, this study will to systematically review the efficacy of TCM-FEMT on anxiety and depression emotions of lung cancer patients.

Objective

To evaluate the effectiveness of TCM-FEMT on anxiety and depression emotions of lung cancer patients.

Methods

Protocol registration

This study has been registered on the International Platform of Registered Systematic Review and Meta-analysis Protocols (INPLASY), the registration number is INPLASY202120021, and the DOI number is 10.37766/inplasy2021.2.0021. This study was conducted under the guidance of the Preferred Reporting Items for Systematic Reviews and Meta analyses Protocols (PRISMA-P).

Ethics

For this is a systematic review and meta-analysis which with no patient recruitment and any detailed personal information collection, therefore, approval from the Ethics Committee is not required.

Eligibility criteria

Types of studies

All randomized controlled trials (RCTs) of TCM-FEMT on anxiety and depression emotions of lung cancer patients will be collected in this study.

Object of study

Lung cancer patients with negative emotions of anxiety and depression. Regardless the nationality, race, body mass, and course of illness.

Intervening measures

Five-element music therapy was used in the treatment group, while The control group included usual care, or other positive interventions groups, and there is no limitation on the intervention time, course of treatment.

Outcome indicators

The primary outcomes assessed will be the Self-Rating Anxiety Scale (SAS), Self-Rating Depression Scale (SDS), or Hamilton Anxiety Scale (HAMA) and Hamilton Depression Scale (HAMD), for secondary outcome measures include the Pittsburgh Sleep Quality Index (PSQI) and The Short Form-36 Health Survey (SF-36). Articles unrelated to the purpose of the study or nonrandomized controlled trials; Studies repeated publication; Full-text articles that cannot be retrieved through online databases, libraries, or research authors; The data is incomplete or have obvious errors.

Search methods

Information sources

The following databases: PubMed, the Cochrane Library, Web of Science, Embase and Chinese databases: Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), VIP Database, WanFang Database will be electronically searched to collect RCTs on the efficacy of TCM-FEMT on anxiety and depression emotions of lung cancer patients from inception to February 2021. In addition, retrospect the references of the included literature to supplement the relevant literature.

Search strategy

The search is carried out by a combination of subject words and free words. Such terms as “Music OR Music therapy OR Five elements music OR Five-element music OR Five-tone therapy”, “Lung Neoplasms OR Lung Cancer OR Pulmonary Cancer OR Non-Small Cell Lung Cancer OR Small Cell Lung Cancer”, “Depression OR Anxiety OR Depressions OR Depressive Symptom OR Emotional Depression”, “Randomized controlled trial OR Controlled clinical trial OR Clinical Trials”. Taking PubMed as an example, the retrieval strategy is summarized in Table 1.
Table 1

Search strategy for the PubMed database.

NumberSearch terms
#1Music [Mesh]
#2Music therapy [Mesh]
#3Five elements music [Title/Abstract]
#4Five-element music [Title/Abstract]
#5Five-tone therapy [Title/Abstract]
#6#1 OR #2 OR #3 OR #4 OR #5
#7Lung Neoplasms [Mesh]
#8Lung Cancer [Title/Abstract]
#9Pulmonary Cancer [Title/Abstract]
#10Non-Small Cell Lung Cancer [Title/Abstract]
#11Small Cell Lung Cancer [Title/Abstract]
#12#7 OR #8 OR #9 OR #10 OR #11
#13Depression [Mesh]
#14Anxiety [Mesh]
#15Depressions [Title/Abstract]
#16Depressive Symptom [Title/Abstract]
#17Emotional Depression [Title/Abstract]
#18#13 OR #14 OR #15 OR #16 OR #17
#19Randomized controlled trial [Title/Abstract]
#20Controlled clinical trial [Title/Abstract]
#21Clinical Trials [Title/Abstract]
#22#19 OR #20 OR #21
#23#6 AND #12 AND #18 AND #22
Search strategy for the PubMed database.

Data screening and extraction

All retrieved studies will be imported into Endnote X9 and grouped by different databases for management. By way of a combination of artificial and endnote to eliminate duplicate documents. According to eligibility criteria, data extraction will be completed by 2 researchers, independently. The literature was screened by reading the title and abstract to remove the obviously irrelevant literature, and then screened it again after reading the full text to determine whether to include. If there is a disagreement, it will be resolved by a third researcher, for lacked information, we will contact the correspondent authors via email or phone for completed the data. The following information will be extracted from the literature and recorded in a unified table: (1) Basic information of the included research: research title, first author, year of publication, journal; (2) Baseline characteristics (age, gender, sample size) and intervention measures of the research object (treatment time, course of treatment, combination therapy, follow-up time points); (3) Methodological information of literature; (4) Outcome indicators. The literature screening process is shown in Figure 1.
Figure 1

Flow diagram of study selection process.

Flow diagram of study selection process.

Quality assessment

RCT's risk of bias evaluation tool in Cochrane System Review Manual 5.1.0 will be used to evaluate the risk of bias for the included RCTs, Two researchers will independently evaluate the literature quality and cross-check the results. If there are any differences, a third researcher will participate in the discussion to make decisions.

Statistical analysis

Data analysis and processing

RevMan 5.3 software will be used for statistical analysis. The measurement data uses mean difference (MD) as the effect analysis statistic, and each effect size provides its 95% confidence intervals (CIs). The heterogeneity among the included results will be analyzed using χ 2 test, and the heterogeneity will quantitatively determined by combining with I 2. When there is significant statistical heterogeneity among the studies (P < .1, I 2 > 50%), the combined effect size of the random effect model was adopted, Otherwise, the fixed effect model be adopted. When the measurement tools and units are inconsistent or the mean values differ greatly of different researches, the standardized mean difference and 95% CIs will used as the composite statistics.

Subgroup analysis

If there is heterogeneity, we will conduct a subgroup analysis, we will take an analysis of subgroup according to characteristic of participants, such as gender, age, course of disease.

Sensibility analysis

To assess the stability of meta-analysis results, sensitivity analysis will be performed by deleting the included studies one by one to assess the change in the overall effect after removing a certain study.

Publication bias

Egger test, Begger test and funnel plots are used to assess the potential publication bias if more than 10 studies are included in this study. If there is publication bias, we will use trimming and filling methods to further evaluate the impact of the deviations on the results.

Evidence quality

According to the Grading of Recommendations Assessment, Development and Evaluation (GRADE) (Version 3.6), The quality of evidence will be ranked as 4 levels: high, moderate, low, and very low based on 5 key domains: risk of bias, consistency, directness, precision, and publication bias.

Discussion

More and more researches used music therapy into the intervention of negative emotions in lung cancer, music as a product of human mental activity, is the manifestation of the human's inner world and the material world. The effects of music therapy has a certain connection with the body's physiology and psychology. The frequency and sound pressure of music can cause a physiological response of the body. The frequency, rhythm, and regular sound wave vibration of music belong to physical energy. When kept in a moderate range, it will cause harmonious resonance of histiocytes, resulting in resonance in the cranial cavity, thoracic cavity, or tissue, and affect brain waves, breathing rhythm, heart rate, etc. In psychology, the frequency and sound pressure of music can eliminate the patient's tension, anxiety, depression and other emotions, and improve stress tolerance. With the guidance of holism concept in TCM, TCM-FEMT emphasizes the unity of body and spirit, the harmonious unity of human and nature, and human and society, which consistent with the “biological-psychological-social model” proposed in modern Western medicine, it plays an increasingly important role in treating, preventing diseases, and improving the quality of life. At present, many trials have shown the efficacy of TCM-FEMT in the treatment of anxiety and depression emotions of lung cancer patients, but there is no relevant systematic evaluation. As this is a systematic evaluation and meta-analysis to provide reliable evidence for clinical promotion of TCM-FEMT for lung cancers.

Author contributions

Conceptualization: Xiaolin Jiang, Jing Gao. Data curation: Xiaolin Jiang, Jing Gao, Yuping Zheng. Formal analysis: Xiaolin Jiang, Yuping Zheng. Funding acquisition: Jing Gao. Methodology: Xiaolin Jiang, Jing Gao, Yuping Zheng. Project administration: Xiaolin Jiang, Jing Gao, Yuping Zheng. Software: Xiaolin Jiang, Yuping Zheng. Supervision: Jing Gao. Writing – original draft: Xiaolin Jiang. Writing – review & editing: Xiaolin Jiang, Jing Gao.
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