Evidence map›Paper›PMID 29229658›Full record

ArticleBMJ open2017

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

Yihan He, Yihong Liu, Brian H May, Anthony Lin Zhang, Haibo Zhang, ChuanJian Lu, Lihong Yang, Xinfeng Guo, Charlie Changli Xue

Abstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Efficacy of Acupuncture Therapy for Chemotherapy-Related Cognitive Impairment in Breast Cancer Patients.Medical science monitor : international medical journal of experimental and clinical research · 2018
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Yihan HeChina-Australia International Research Center for Chinese Medicine, RMIT University, Melbourne, Victoria, Australia.
Yihong LiuChina-Australia International Research Center for Chinese Medicine, RMIT University, Melbourne, Victoria, Australia.
Brian H MayChina-Australia International Research Center for Chinese Medicine, RMIT University, Melbourne, Victoria, Australia.
Anthony Lin ZhangChina-Australia International Research Center for Chinese Medicine, RMIT University, Melbourne, Victoria, Australia.
Haibo ZhangChina-Australia International Research Center for Chinese Medicine, RMIT University, Melbourne, Victoria, Australia.
ChuanJian LuChina-Australia International Research Center for Chinese Medicine, RMIT University, Melbourne, Victoria, Australia.
Lihong YangChina-Australia International Research Center for Chinese Medicine, RMIT University, Melbourne, Victoria, Australia.
Xinfeng GuoChina-Australia International Research Center for Chinese Medicine, RMIT University, Melbourne, Victoria, Australia.
Charlie Changli XueChina-Australia International Research Center for Chinese Medicine, RMIT University, Melbourne, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe 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.

Indexed as

Acupuncture TherapyCancer PainHumansMeta-Analysis as TopicRandomized Controlled Trials as TopicResearch DesignSystematic Reviews as Topicacupuncturecancer painmeta-analysesumbrella review

Identifiers

PMID29229658
PMCPMC5778333

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.