Literature DB >> 29229658

Effectiveness of acupuncture for cancer pain: protocol for an umbrella review and meta-analyses of controlled trials.

Yihan He1,2, Yihong Liu1,2, Brian H May1, Anthony Lin Zhang1, Haibo Zhang1,2, ChuanJian Lu1,2, Lihong Yang1,2, Xinfeng Guo1,2, Charlie Changli Xue1,2.   

Abstract

INTRODUCTION: The National Comprehensive Cancer Network guidelines for adult cancer pain indicate that acupuncture and related therapies may be valuable additions to pharmacological interventions for pain management. Of the systematic reviews related to this topic, some concluded that acupuncture was promising for alleviating cancer pain, while others argued that the evidence was insufficient to support its effectiveness. METHODS AND ANALYSIS: This review will consist of three components: (1) synthesis of findings from existing systematic reviews; (2) updated meta-analyses of randomised clinical trials and (3) analyses of results of other types of clinical studies. We will search six English and four Chinese biomedical databases, dissertations and grey literature to identify systematic reviews and primary clinical studies. Two reviewers will screen results of the literature searches independently to identify included reviews and studies. Data from included articles will be abstracted for assessment, analysis and summary. Two assessors will appraise the quality of systematic reviews using Assessment of Multiple Systematic Reviews; assess the randomised controlled trials using the Cochrane Collaboration's risk of bias tool and other types of studies according to the Newcastle-Ottawa Scale. We will use 'summary of evidence' tables to present evidence from existing systematic reviews and meta-analyses. Using the primary clinical studies, we will conduct meta-analysis for each outcome, by grouping studies based on the type of acupuncture, the comparator and the specific type of pain. Sensitivity analyses are planned according to clinical factors, acupuncture method, methodological characteristics and presence of statistical heterogeneity as applicable. For the non-randomised studies, we will tabulate the characteristics, outcome measures and the reported results of each study. Consistencies and inconsistencies in evidence will be investigated and discussed. Finally, we will use the Grading of Recommendations Assessment, Development and Evaluation approach to evaluate the quality of the overall evidence. ETHICS AND DISSEMINATION: There are no ethical considerations associated with this review. The findings will be disseminated in peer-reviewed journals or conference presentations. PROSPERO REGISTRATION NUMBER: CRD42017064113. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  acupuncture; cancer pain; meta-analyses; umbrella review

Mesh:

Year:  2017        PMID: 29229658      PMCID: PMC5778333          DOI: 10.1136/bmjopen-2017-018494

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


The three components will provide comprehensive, clinically relevant assessments of the effectiveness and safety of acupuncture and related therapies for cancer pain. The umbrella review will provide a quality-appraised overview of existing systematic reviews. Meta-analyses will provide assessments of the randomised controlled trial evidence for specific acupuncture therapies and types of cancer pain. Analyses of non-randomised studies will identify consistencies and inconsistencies in evidence between study types. Anticipated limitations include study quality, diversity between studies and difficulties in synthesising and grading evidence from different types of clinical studies.

Background

For people with cancer, pain is a distressing and intractable symptom with a prevalence rate of over 70%.1 Two-thirds of patients in the advanced stage of cancer suffered from pain; more than half of patients undergoing anticancer treatment experienced pain and nearly 40% of patients after curative treatment still complained about pain. Among these patients, 40% graded their pain as moderate to severe (Numerical Rating Scale (NRS) Score ≥5).2 As the possibility of early diagnosis and the improvement of curative technologies prolong survival time for patients affected by cancer,3 the requirement for alleviation of pain has been highlighted.4 Enormous advancements in knowledge of cancer pain and pain management have been achieved.5 6 Notably, the WHO analgesic ladder offers a systematic approach to pain relief.7 8 However, cancer pain control remains a critical challenge globally,9 10 including issues associated with inadequate pain relief, analgesic addiction and the side effects of pharmacological interventions.11–14 Clinical studies have shown benefits of acupuncture and related therapies for supportive and palliative care in cancer, by diminishing side effects of conventional therapies, relieving cancer-related concomitant symptoms and improving overall quality of life.14–17 Acupuncture and acupressure are listed in the National Comprehensive Cancer Network oncology guidelines as integrative interventions for adult cancer pain.18 A detailed guideline has been developed for acupuncture application in the management of pain and non-pain indications in patients with cancer.19 Traditionally, acupuncture involves the manual insertion of fine needles into specific loci on the body and its associated techniques include the application of pressure without needles (acupressure) and the application of heat (moxibustion). More modern techniques include electrical stimulation of needles (electroacupuncture) and skin areas (transcutaneous electrical nerve stimulation (TENS)), and the application of light lasers instead of needles (laser acupuncture).20 An increasing number of randomised controlled trials (RCTs) of acupuncture for cancer pain have been conducted over the years. From the perspective of research design for clinical trials, acupuncture presents a range of challenges. Acupuncture included a variety of methods and techniques which may not be directly comparable.20 21 It is difficult to blind personnel and participants in RCTs. Sham/placebo acupuncture devices have been developed, but there is some controversy about whether these and other control methods used in acupuncture studies are truly inert.21–23 Another issue is whether the manipulation technique(s) used by the acupuncturist and the number of needles inserted impact on analgesia in a manner similar to medication dosage.21 24 Further, in traditional acupuncture, the intervention is not standardised and can be adjusted according to the syndrome (Zheng) of the individual patient.25 26 One approach to addressing the need to assess acupuncture in realistic settings has been the adoption of pragmatic trial designs.27 28 Furthermore, in studies of cancer pain, there can be considerable variation in the type of cancer and likely causes of the pain.29 All these factors present issues when assessing the effects of acupuncture and related therapies in cancer pain and may limit the extent to which meta-analysis approaches are appropriate.

The need for this work

One review concluded the accumulated evidence suggested that acupuncture could be beneficial for pain and other symptoms in patients with cancer,30 but a Cochrane systematic review concluded that evidence was insufficient to determine whether acupuncture was effective for the management of adult cancer pain. The conclusions were limited by small sample sizes and heterogeneity in methodology, cancer populations and acupuncture techniques.21 There are a number of systematic reviews related to acupuncture for cancer pain.21 31–38 One included acupuncture for pain relief along with other outcomes,35 while others discussed acupuncture and other Chinese medicine therapies for cancer care.36 37 Of the systematic reviews that explicitly evaluated the effectiveness of acupuncture for cancer pain management, some included RCTs for all types of cancer,33 34 while some specifically focused on acupuncture for particular conditions.31 32 38 Some reviews included Chinese databases32–37 but others limited searches to English language databases.21 31 38 All these systematic reviews limited their inclusion criteria to RCTs. However, other types of clinical studies have been published39 40 and additional RCTs have been published in recent years.41–44 Given the variety of acupuncture and related therapies in current use in integrative cancer therapy and the diversity of cancer populations in which acupuncture has been applied, there is value in conducting a review that aims at integrating multiple levels of evidence. Systematic reviews generally focus on RCTs, but when the RCT evidence is not sufficient to address clinical questions, the inclusion of non-randomised studies can provide supporting evidence, may improve the generalisability of the conclusions, and can inform decision-makers of the totality of the available clinical evidence.45 This study takes an umbrella review approach46 to summarise the results of published reviews of acupuncture and related therapies for cancer pain. In addition, data from all types of clinical trials will be synthesised and analysed to arrive at a comprehensive evaluation of the effectiveness of each of the acupuncture and related interventions for specific categories of cancer pain.

Objectives

Umbrella reviews aim to provide synthesised and appraised evidence on a broad topic area for decision-makers in healthcare, including patients, physicians and policy-makers.46 The present study: (1) conducts an umbrella review that aims to synthesise the findings of existing systematic reviews and meta-analyses46; (2) conducts a systematic review and meta-analyses of randomised clinical trials and (3) summarises results of other types of clinical studies in order to assess the broad body of clinical evidence, inform clinical practice and identify directions for future clinical trials and other research. The following questions will be addressed: (1) Are acupuncture and related therapies effective for relieving pain associated with cancer? (2) Do acupuncture therapies enable reduction in analgesic consumption? (3) Are the effects (if any) related to the specific type or stage of cancer, the cancer therapies, degree of pain, the type of intervention or other variables?

Methods

This protocol was developed according the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols statement (online supplementary file 1)47 48 and has been registered on PROSPERO (no. CRD42017064113). The anticipated start date of this study is 01/12/2017.

Design

This study comprises three main components: An umbrella review of systematic reviews and meta-analyses. A systematic review of randomised controlled studies with meta-analyses of outcome data (if possible). Summaries of the results of non-randomised clinical studies on acupuncture and related therapies for cancer pain. We have performed a scoping literature review of all cancer pain-related publications in the Cochrane library. This preparatory step helped define the inclusion criteria, develop the literature search strategies and determine the data to be extracted from eligible reviews and clinical studies.

Eligibility criteria

Types of studies

Articles published in English or Chinese including: systematic reviews and/or meta-analyses of the effects of acupuncture and related therapies on pain relating to cancer; RCTs (with or without blinding) including cross-over designs and pragmatic trials; non-randomised studies, including case–control studies, case series studies, cohort studies, concurrently controlled studies, cross-sectional studies, historically controlled studies, time series studies and case studies.45 49

Types of participants

Adult participants with cancer pain, including pain directly caused by the development of cancer and pain related to treatments for cancer.18

Types of intervention

We will consider acupuncture and related therapies regardless of needling techniques and stimulation method, including manual acupuncture, electroacupuncture, ear acupuncture, acupressure, moxibustion, TENS and combinations of these. Treatments in the comparison groups can be sham/placebo acupuncture, pharmacotherapy or no additional intervention to usual care.50 51

Types of outcome measures

We will consider systematic reviews and clinical studies that report numerical data on one or more of the following outcomes: Patient-reported pain intensity or pain relief measured using a Visual Analogue Scale, Verbal Rating Scale, NRS,52 the McGill Pain Questionnaire,53 the Brief Pain Inventory54 or other validated outcome measures.55 Quality of life measured using validated scales, including the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire,56 the General Version of the Functional Assessment of Cancer Therapy,57 the Edmonton Symptom Assessment System58 or other validated scales.59 Consumption of analgesics including opioids and non-opioids.18 Frequency of breakthrough pain60 and rescue medication use or dosage. Safety of the acupuncture intervention including adverse events and withdrawals for any reason.

Search strategy

To identify systematic reviews and/or meta-analyses of acupuncture and related therapies for cancer pain, we will search PubMed (1966 to present), Embase (1974 to present) and CINAHL (1982 to present), JBI Database of Systematic Reviews and Implementation Reports (2003 to present), the Cochrane Database of Systematic Reviews (1992 to present) and the PROSPERO register.46 Considering that acupuncture is frequently used in China, we will search the following Chinese databases: Chinese Biomedical Literature Database (CBM, 1978 to present), VIP Database for Chinese Technical Periodicals (CQVIP, 1989 to present), China National Knowledge Infrastructure (CNKI, 1994 to present) and Wanfang Data (1998 to present). The search strategy for PubMed/MEDLINE database is shown in online supplementary file 2. To identify clinical studies, we will search PubMed, Embase, CINAHL and the Chinese databases CBM, CQVIP, CNKI and Wangfang Data. Search terms will generally consist of three groups: (1) clinical condition (cancer, tumour, carcinoma, neoplasm, pain, analgesia, etc); (2) intervention (acupuncture, electroacupuncture, auriculotherapy, acupoint, needle, acupressure, etc) and (3) study type (random, controlled trial, cohort, case–control, comparative study, case series, etc), with adjustments for different databases.61 In addition, we will search clinical trial registries, dissertations and grey literature.61

Screening and selection

Following the comprehensive searches for systematic reviews and clinical studies, two reviewers (YHH and YHL) will screen all hits independently based on the titles and abstracts. Full texts will be downloaded for further evaluation when necessary. At the next stage, the reviewers will examine the full text articles according to the inclusion criteria. A third reviewer will be consulted to resolve any disagreement by discussion and consensus.62

Data extraction

All data extraction will be undertaken by two independent reviewers (YHH and YHL) who will extract information using predesigned forms. For systematic reviews, we will extract46 63: identification information (publication year, first author); general information (objectives, type of review, target condition, comparator); methodological characteristics (included study type, any restriction on included studies, databases searched and date ranges, methods of data extraction and assessment of study quality, meta-analysis method); participants (inclusion/exclusion criteria, type of cancer, type of pain); interventions (type of acupuncture and related therapy, type of control intervention); included data (primary and secondary outcomes, number of studies, numbers and types of participants, country and setting of studies); synthesis method, summary and conclusions. For all types of clinical studies, we will extract62 64 65: identification information (publication year, first author); general information (country, study type, setting, number of centres, sample size, study duration); participants (type and/or stage of cancer, age, sex, type of pain, pain intensity before treatment, Chinese medicine syndrome); interventions (type of acupuncture and related therapy, acupuncture point selection, treatment frequency, number of sessions, duration of each session, point stimulation/manipulation method(s)); comparator (if there is any, details of the treatment including name, dosage, frequency and course); outcomes (data and time points for each measurement, type and number of adverse events in each group). For both systematic reviews and clinical studies, information related to syndrome/pattern of Chinese medicine will be extracted, including therapeutic principles, Chinese medicine syndrome/pattern and related outcomes.66 We will try to contact corresponding authors for any missing data or clarification for unclear information.46 62

Quality assessment

Two reviewers (YHH and YHL) will appraise the quality of the included reviews independently according to the Assessment of Multiple Systematic Reviews (AMSTAR) tool.67 A systematic review that reports one item in accordance with AMSTAR receives one point with a maximum score of 11 points. A score of 8–11 represents high quality, while 4–7 means medium quality, and a review with a score below 4 is judged as low quality. The quality of the RCTs will be assessed using the risk of bias tool developed by the Cochrane Collaboration. We will appraise each study in terms of selection bias (random sequence generation and allocation concealment), performance bias (blinding of participants and personnel), detection bias (blinding of outcome assessment) and attrition bias (incomplete outcome data).68 We will carry out quality assessment for non-randomised controlled studies according to the Newcastle-Ottawa Scale for assessing the quality of non-randomised studies in meta-analyses.69 70

Evidence synthesis for systematic reviews

We will report a summary of the findings of the systematic reviews and meta-analyses. For each review, this will include: the type of acupuncture and related therapies; syndrome/pattern in Chinese medicine, the type of cancer pain included (related to neoplasm, related to cancer therapy); the number of included clinical studies; numbers of participants; the outcome measures assessed; any meta-analysis results for each outcome, heterogeneity and reviewers’ conclusions. ‘Summary of evidence’ tables will be used to present syntheses of the overall evidence for each type of cancer pain, type of acupuncture intervention, type of control intervention and outcome measure.46

Evidence synthesis for RCTs

We will use data extracted from published RCTs to perform meta-analyses, calculating effect size and 95% CI by the random-effects model. Heterogeneity among trials will be identified by the χ2 test and reported as I2.71 We will assess publication bias using funnel plots and Egger’s test for asymmetry when at least 10 trials are available.72 When conducting meta-analysis, for each outcome studies will be grouped according to: (1) the type of acupuncture (eg, manual acupuncture, electroacupuncture, ear acupuncture, acupressure, moxibustion and TENS); (2) the comparator (eg, placebo/sham acupuncture, pharmaceutical therapy, usual care only) and (3) the specific type of pain such as breakthrough pain,73 cancer-induced bone pain74 or aromatase inhibitor-associated arthralgia.75 Sensitivity analyses are planned based on clinical factors (cancer type, degree of pain, Chinese medicine syndrome/pattern), acupuncture method (stimulation method, dosage, specific acupuncture points), methodological characteristics (sample size, risk of bias), and presence of statistical heterogeneity as applicable.

Evidence synthesis for non-randomised studies

First, we will tabulate the characteristics of each of the non-randomised studies, the outcome measures and the reported results. Where possible, studies will be grouped according to study type, type of acupuncture intervention, type of control (if applicable), type of cancer pain and study quality. We will compare the results of the meta-analyses of the RCTs with the reported results of non-randomised studies when the studies are similar in terms of acupuncture type and type of cancer pain. If the results for the effects of the RCTs and non-randomised studies are consistent and show the same trend, the evidence from the non-randomised studies may provide support that an effect is likely to exist or not exist. On the other hand, if the findings from the non-randomised studies are inconsistent with the evidence from the RCTs, we should be more cautious in the interpretation of the RCT evidence. In balancing the two bodies of evidence, we will need to take a number of factors into consideration including the numbers of participants in the studies, the quality of the studies and the clinical relevance of the interventions. In synthesising the results of the different types of clinical studies, we will consider the non-randomised studies as complementary to the RCTs.45 We will use the Grading of Recommendations Assessment, Development and Evaluation approach to evaluate the quality of the overall evidence.76

Concluding remarks

This review will build on previous assessments of the evidence for acupuncture and related therapies in the management of cancer pain, by synthesising the results of previous systematic reviews, conducting updated meta-analyses of the outcomes of RCTs, summarising evidence from non-randomised clinical studies and synthesising evidence from multiple sources. In assessing the results of non-randomised studies, a number of issues will need consideration, including the sources of bias in the selection of participants, confounding effects of variability in baseline characteristics, issues relating to potential bias in participant-reported outcomes and the effects of attrition bias.77–80 In synthesising and comparing the results of non-randomised studies and RCTs, we will need to pay attention to issues relating to the external validity of the interventions, whether the reported results from these clinical studies may be generalised to clinical populations, and whether the interventions reflect current clinical practice.81–83 In cases where no RCT evidence is available for a particular intervention, type of cancer pain or outcome measure, we will need to base assessments on the available non-randomised studies while acknowledging the limitations of this level of evidence.45 In such cases, the non-randomised studies may indicate future directions for RCTs, for example, the pilot study on acupuncture for cancer-induced bone pain39 and the pragmatic pilot study on acupuncture for uncontrolled cancer pain,40 both suggest that further RCTs are warranted. Syndrome/pattern (Zheng) differentiation is an essential notion in the theory of Chinese medicine that informs the selection and application of therapeutic interventions.84 RCTs and systematic reviews have examined the effects of syndrome differentiation in a number of disorders.85 86 Syndrome distribution among patients with advanced cancer with opioid-related constipation has been determined by a cross-sectional study87 and treatment based on syndrome differentiation has been suggested.66 Where possible, this review will examine effects related to the application of syndrome/pattern differentiation in the include studies and determine any implications for future clinical studies. A likely limitation with the overall quality of the evidence is inadequate methodological reporting in many articles published in Chinese. Consolidated Standards of Reporting Trials and Standards for Reporting Interventions in Clinical Trials of Acupuncture have not been adopted by many Chinese language journals and information required for assessment of risk of bias may not be available in reports of RCTs.88–91 Poor quality of reporting in RCTs on acupuncture for cancer pain in Chinese journals makes it difficult to assess the validity of the results.92 These issues will be considered when conducting sensitivity analyses based on methodological quality and when interpreting results.93 The proposed review has several strengths. The umbrella review component will provide an overview of the field and identify issues relating to meta-analysis in a condition as diverse as cancer pain and highlight considerations that will need to be taken into account in the systematic review component. A strength of the systematic review component is the inclusion of multiple Chinese and English language databases and grey literature which should ensure a comprehensive search of the literature. A further strength is any meta-analyses will be informed by rigorous methodology as detailed in the Cochrane Handbook for Systematic Reviews of Interventions.94 The addition of the component on non-randomised studies will strengthen the overall project by providing an extended coverage of the clinical literature which may provide supporting evidence to complement the RCT literature and fill any clinically relevant gaps. Anticipated limitations and challenges include issues relating the quality of the available evidence as outlined above, diversity between clinical studies precluding data pooling in meta-analyses, small sample sizes limiting confidence in outcomes, and difficulties in synthesising and grading evidence from different types of clinical studies. Heterogeneity between the included studies is likely to lead to bias in the results; therefore, we will exercise caution in the interpretation of the results and take a critical approach when assessing the overall evidence.95–97 Despite of these anticipated limitations, evaluating the effectiveness of acupuncture for cancer pain is of great importance for clinical practice given the challenges of pain alleviation in patient care.1–3 We will consider the issues relating to the scope and overlap of systematic reviews included in the umbrella review,98 whether their conclusions are affected by the results of the updated meta-analysis, and whether the results reported by the non-randomised studies are consistent or inconsistent with the results of the meta-analyses. By identifying the strengths, weaknesses and any gaps in the available clinical evidence with regard to particular types of acupuncture interventions or particular outcomes that have been assessed in clinical studies, the results of this review can inform future clinical research. Furthermore, by conducting a comprehensive evaluation of multiple types of studies, we anticipate identifying promising acupuncture interventions for specific clinical applications in the management of cancer pain.
  87 in total

1.  Summarizing systematic reviews: methodological development, conduct and reporting of an umbrella review approach.

Authors:  Edoardo Aromataris; Ritin Fernandez; Christina M Godfrey; Cheryl Holly; Hanan Khalil; Patraporn Tungpunkom
Journal:  Int J Evid Based Healthc       Date:  2015-09

Review 2.  What is the evidence for the use of acupuncture as an intervention for symptom management in cancer supportive and palliative care: an integrative overview of reviews.

Authors:  P Towler; A Molassiotis; S G Brearley
Journal:  Support Care Cancer       Date:  2013-07-19       Impact factor: 3.603

3.  GRADE: an emerging consensus on rating quality of evidence and strength of recommendations.

Authors:  Gordon H Guyatt; Andrew D Oxman; Gunn E Vist; Regina Kunz; Yngve Falck-Ytter; Pablo Alonso-Coello; Holger J Schünemann
Journal:  BMJ       Date:  2008-04-26

Review 4.  Quality of reporting and its correlates among randomized controlled trials on acupuncture for cancer pain: application of the CONSORT 2010 Statement and STRICTA.

Authors:  Liming Lu; Muxi Liao; Jingchun Zeng; Jun He
Journal:  Expert Rev Anticancer Ther       Date:  2013-04       Impact factor: 4.512

Review 5.  Cancer pain: a review of epidemiology, clinical quality and value impact.

Authors:  Nathan J Neufeld; Shereef M Elnahal; Ricardo H Alvarez
Journal:  Future Oncol       Date:  2016-11-23       Impact factor: 3.404

Review 6.  Permanent interstitial low-dose-rate brachytherapy for patients with localised prostate cancer: a systematic review of randomised and nonrandomised controlled clinical trials.

Authors:  Frank Peinemann; Ulrich Grouven; Carmen Bartel; Stefan Sauerland; Holger Borchers; Michael Pinkawa; Axel Heidenreich; Stefan Lange
Journal:  Eur Urol       Date:  2011-06-29       Impact factor: 20.096

7.  Development of the Wisconsin Brief Pain Questionnaire to assess pain in cancer and other diseases.

Authors:  R L Daut; C S Cleeland; R C Flanery
Journal:  Pain       Date:  1983-10       Impact factor: 6.961

8.  Checklists of methodological issues for review authors to consider when including non-randomized studies in systematic reviews.

Authors:  George A Wells; Beverley Shea; Julian Pt Higgins; Jonathan Sterne; Peter Tugwell; Barnaby C Reeves
Journal:  Res Synth Methods       Date:  2013-03       Impact factor: 5.273

Review 9.  Practice of traditional Chinese medicine for psycho-behavioral intervention improves quality of life in cancer patients: A systematic review and meta-analysis.

Authors:  Weiwei Tao; Xi Luo; Bai Cui; Dapeng Liang; Chunli Wang; Yangyang Duan; Xiaofen Li; Shiyu Zhou; Mingjie Zhao; Yi Li; Yumin He; Shaowu Wang; Keith W Kelley; Ping Jiang; Quentin Liu
Journal:  Oncotarget       Date:  2015-11-24

10.  Failure to address potential bias in non-randomised controlled clinical trials may cause lack of evidence on patient-reported outcomes: a method study.

Authors:  Frank Peinemann; Alexander Michael Labeit; Christian Thielscher; Michael Pinkawa
Journal:  BMJ Open       Date:  2014-06-04       Impact factor: 2.692

View more
  9 in total

1.  Efficacy of Acupuncture Therapy for Chemotherapy-Related Cognitive Impairment in Breast Cancer Patients.

Authors:  Taishan Tong; Chunqin Pei; Jun Chen; Qing Lv; Fuquan Zhang; Zaohuo Cheng
Journal:  Med Sci Monit       Date:  2018-05-08

Review 2.  Acupuncture for pain caused by prostate cancer: Protocol for a systematic review.

Authors:  Jisheng Wang; Yi Lei; Binghao Bao; Xudong Yu; Hengheng Dai; Fei Chen; Haisong Li; Bin Wang
Journal:  Medicine (Baltimore)       Date:  2019-01       Impact factor: 1.889

3.  Acupuncture for cancer pain: protocol for a pilot pragmatic randomised controlled trial.

Authors:  Yihan He; Brian H May; Anthony Lin Zhang; Xinfeng Guo; Yihong Liu; Yanchun Qu; Xuesong Chang; Chuan-Jian Lu; Charlie Changli Xue; Haibo Zhang
Journal:  BMJ Open       Date:  2019-07-09       Impact factor: 2.692

4.  Interventions for cancer-related pain: Protocol of an umbrella systematic review and network meta-analysis.

Authors:  Tao Xu; Hanzhou Lei; Yutong Zhang; Siying Huang; Ziwen Wang; Siyuan Zhou; Jiao Yang; Qianhua Zheng; Jiao Chen; Ling Zhao
Journal:  Medicine (Baltimore)       Date:  2019-11       Impact factor: 1.817

5.  Acupuncture treatment for optic atrophy: A protocol for systematic review.

Authors:  Ping-Ping Zhou; Peng Sun; Hong-Wei Liu; Yan Meng
Journal:  Medicine (Baltimore)       Date:  2019-08       Impact factor: 1.817

6.  The effects of add-on self-care education on quality of life and fatigue in gastrointestinal cancer patients undergoing chemotherapy.

Authors:  Jun Xie; Tingli Zhu; Qun Lu; Xiaomin Xu; Yinghua Cai; Zhenghong Xu
Journal:  BMC Complement Med Ther       Date:  2020-01-16

7.  Traditional Chinese medicine on treating pain caused by prostate cancer: A systematic review and meta-analysis.

Authors:  Ning Wang; Li Xu; Ji-Sheng Wang; Xu-Dong Yu; Li-Yuan Chu; Sheng Deng; Fu-Xing Ge; Hai-Song Li
Journal:  Medicine (Baltimore)       Date:  2019-11       Impact factor: 1.817

8.  Assessment of the efficacy of Chinese patent medicine on treating pain caused by prostate cancer: A protocol for systematic review and meta analysis.

Authors:  Xiaoyong Gong; Ji-Sheng Wang; Xu-Dong Yu; Rui-Jia Liu; Li-Yuan Chu; Yuan-Yuan Li; Yi Lei; Hong Li
Journal:  Medicine (Baltimore)       Date:  2019-12       Impact factor: 1.889

9.  Clinical evidence of acupuncture and related therapy in patients with cancer-pain: A protocol for systematic review and meta-analysis.

Authors:  Jingchun Zeng; Runjin Zhou; Zhenke Luo; Na Zhang; Zijun Liu; Guohua Lin
Journal:  Medicine (Baltimore)       Date:  2020-11-06       Impact factor: 1.817

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.