ArticleEvidence-based complementary and alternative medicine : eCAM2021
The Role of Traditional Chinese Medicine Nursing for Stroke: An Umbrella Review.
Article in Evidence-based complementary and alternative medicine : eCAM, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
What it found
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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.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Efficacy of traditional Chinese medicine nursing in stroke: a systematic review and meta-analysis.Frontiers in neurology · 2025Pooled it
- Reliability of Evidence to Guide Decision-Making in the Use of Acupuncture for Postpartum Depression.Frontiers in public health · 2022Pooled it
- The Efficacy of Manipulation with Distension Arthrography to Treat Adhesive Capsulitis: A Multicenter, Randomized, Single-Blind, Controlled Trial.BioMed research international · 2022Trial
- "More Than My Own Effort": A Qualitative Study of Factors Influencing EBP Competence Among Traditional Chinese Medicine Specialist Nurses.Journal of nursing management · 2026Article
- Effects of 12 nutritional interventions on type 2 diabetes: a systematic review with network meta-analysis of randomized trials.Nutrition & metabolism · 2025Article
- New insights into acupuncture techniques for poststroke spasticity.Frontiers in public health · 2023Review
- Effect of Grading Rehabilitation Nursing Mode on Limb Function, Speech Rehabilitation, and Quality of Life of Stroke Patients.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Effective Analysis of Multichannel Functional Electrical Stimulation plus Early Rehabilitation Training for Hemiplegic Patients after Stroke.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Current Situation and Influencing Factors of Traditional Chinese Medicine Nursing Clinic in Henan Province.Journal of healthcare engineering · 2022Article
- Clinical efficacy and psychological improvement in elderly patients with knee arthritis after comprehensive traditional Chinese medicine care.American journal of translational research · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAn increasing number of systematic reviews/meta-analyses (SRs/MAs) of clinical trials have begun to investigate the effects of traditional Chinese medicine (TCM) nursing in patients with stroke. To systematically appraise and synthesize these results, we conducted an overview of SRs/MAs.
methodsEight databases from their inception to April 2020 were searched to include all SRs/MAs on TCM nursing for stroke. Methodological quality assessment was performed using Assessing the Methodological Quality of Systematic Reviews 2 (AMSTAR-2) and evidence quality assessment was performed using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE).
resultsEleven SRs/MAs regarding TCM nursing for stroke were included. The assessments with AMSTAR-2 indicated that the methodological quality of all included SRs/MAs was critically low. According to the evaluation results of GRADE, 10 (40%) outcomes were rated as critically low-quality evidence, 7 (28%) low-quality evidence, and 8 (32%) moderate-quality evidence. Descriptive analysis results showed that TCM nursing was effective for stroke.
conclusionsAll included SRs/MAs suggested positive findings of TCM nursing for stroke, but the credibility of the results is limited. Studies with methodologically rigorous and adequately powered are still needed in this field.
Identifiers
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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.