SCIENTIFIC HUB

Follow the evidence.

SCIENTIFIC LITERATURE · MED

Acupuncture in the treatment of fatigue in Parkinson's disease: A protocol for systematic review and meta-analysis.

Medicine (Baltimore) · 2020-11-01

DOI: 10.1097/md.0000000000023389PMID: 33235114

Open accessreview-article; Journal ArticleOriginal source ↗

Research overview

The text below is the source article’s original abstract under a verified reuse license. cc by

BackgroundFatigue is a commonly occurring nonmotor symptom among individuals of Parkinson's disease (PD). Little is known about how to measure fatigue in PD. This study is aiming to investigate the safety and efficacy of acupuncture for PD-related fatigue.MethodsRCTs of acupuncture for PD-related fatigue will be retrieved from inception to July 2020 in 9 different databases such as Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE and so on. Search words will be used for the BC and acupuncture. The analysis would include randomised, controlled, clinical trials of PD patients with fatigue that were published in either Chinese or English. The primary outcome is the fatigue condition. Two or three reviewers should be in charge of study selection, data extraction and evaluating the risk of bias. RevMan software (V.5.3) will be used to perform the assessment of the risk of bias and data synthesis.ResultsTo provide evidence for the efficacy and safety of acupuncture treating PD-related fatigue.ConclusionThis study will be helpful for understanding the effect and safety of acupuncture for PD-related fatigue.Trial registration numberCRD42020160823.

Scientific assessment

01

Research question

Assess the question within the original study’s scope.

02

Methods & sample

Check the source article for study design and sample details.

03

Key findings

An editorially approved findings summary is not yet published for this record.

04

Limitations

Generalizability, bias and clinical meaning require separate assessment.

Methods, samples and clinical conclusions are not inferred from bibliographic metadata.