Objective To systematically review the efficacy of six cognitive interventions on cognitive function of patients with mild cognitive impairment after stroke. Methods The PubMed, EMbase, Cochrane Library, SinoMed, WanFang Data and CNKI databases were electronically searched to collect randomized controlled trials on the effects of non-drug interventions on the cognitive function of patients with mild cognitive impairment after stroke from inception to March 2023. Two reviewers independently screened the literature, extracted data, and assessed the risk of bias of the included studies. Network meta-analysis was then performed using Openbugs 3.2.3 and Stata 16.0 software. Results A total of 72 studies involving 4 962 patients were included. The results of network meta-analysis showed that the following five cognitive interventions improved the cognitive function of stroke patients with mild cognitive impairment: cognitive control intervention (SMD=−1.28, 95%CI −1.686 to −0.90, P<0.05) had the most significant effect on the improvement of cognitive function, followed by computer cognitive training (SMD=−1.02, 95%CI −1.51 to −0.53, P<0.05), virtual reality cognitive training (SMD=−1.20, 95%CI −1.78 to −0.62, P<0.05), non-invasive neural regulation (SMD=−1.09, 95%CI −1.58 to −0.60, P<0.05), and cognitive stimulation (SMD=−0.94, 95%CI −1.82 to −0.07, P<0.05). Conclusion Five cognitive interventions are effective in improving cognitive function for stroke patients with mild cognitive impairment, among which cognitive control intervention is the most effective. Due to the limited quantity and quality of the included studies, more high-quality studies are needed to verify the above conclusion.
In recent years, scholars from diverse fields have initiated explorations into the integration of multimodal data, leveraging the unique advantages of various data types to enhance the perceptual and cognitive capabilities of models. Storyboarding is a visual tool for presenting stories. It has been introduced into the field of evidence-based medicine as an analytical technique for qualitative evidence synthesis (QES), which helps researchers organize and present research results and facilitates the interaction of evidence between doctors and patients. By integrating visual, textual, and other multimodal elements, storyboards effectively communicate intricate and multifaceted qualitative information. Storyboarding, as an innovative approach to evidence synthesis and presentation, has yet to gain widespread adoption in the field. This paper introduces storyboarding within the context of qualitative evidence synthesis, detailing its methodology and process. Through case analysis, it demonstrates how storyboarding can facilitate multimodal data analysis, thereby enhancing the readability and dissemination of evidence. It offers new methodologies for evidence synthesis, promoting knowledge translation and evidence communication. Storyboarding is particularly well-suited as a premier tool for evidence transformation and application in healthcare research. By refining information presentation, it significantly improves content readability, enabling users to more effectively understand and apply information in stakeholders. Although storyboarding technology remains underutilized in evidence-based medicine, its potential will likely be increasingly recognized as multimodal evidence grows and the demand for effective evidence transformation rises. In the future, this method promises to play a pivotal role in advancing evidence-based medicine.