ArticleMedicine2020
The effect of acupuncture on emotional disorders in patients with insomnia: A protocol for systemic review and meta-analysis.
Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed, 1 citations in OpenAlex.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 3 countries.
Funding
Abstract
backgroundInsomnia with high incidence is usually accompanied by many other diseases, especially mental disorders with the under-diagnosis and under-treatment. Some studies demonstrated that acupuncture may be effective for emotional disorders accompanied by insomnia. The systematic review protocol is designed to guiding analysis the effectiveness and safety of acupuncture for emotional disorders in patients with insomnia.
methodsSeven databases, Cochrane central register of controlled trials, Medline, Embase, China National Knowledge Infrastructure, Chinese Biomedical Literature database, VIP database and Wanfang database, will be searched from initial to December 2020. Randomized controlled trials (RCTs) of acupuncture for insomnia with emotional disorders (depression and anxiety) outcomes, which were reported in Chinese or English, will be included. The primary outcome is the change of degree of anxiety and depression. Study selection, data extraction and assessment of the risk of bias will be performed independently by 2 or more reviewers. Available data will be synthesized and statistically analyzed in RevMan V.5.3. The model of fixed effects will be used for the pooled data when the heterogeneity tests show little or no statistical heterogeneity (I2 < 50%). The random-effects model will be taken with heterogeneous data (50% ≤ I2 < 75%).
resultsThe effect of acupuncture on emotional disorders in patients with insomnia will be assessed on Hamilton anxiety Scale, Hamilton anxiety Scale, Pittsburgh Sleep Quality Index, Insomnia Severity Index, Self-rating Anxiety Scale, Self-rating Depressive Scale and the number of participants secede and the number of patients reported adverse events.
conclusionthe emotional disorders interaction with insomnia and the increase of risk on disease evolving and insomnia-related burden, it is so momentous to know that the role of insomnia treatment on comorbidities. We should concern about the management of emotional disorders when treat insomnia, and acupuncture treatment anxiety and depression caused by insomnia may be effective. ETHICS AND DISSEMINATION: Ethics approval is not be needed because the data will not contain individual patient data, and there are no concerns about privacy. The results of this meta-analysis will be disseminated through publication in a peer-reviewed academic journal or relevant conference. INPLASY REGISTRATION NUMBER: INPLASY2020100115.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.