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Introduction There is a growing number of randomised controlled trials (RCTs) that focus on functional changes in the brain detected by functional MRI (fMRI) and gut microbiota composition changes after using probiotics.However, the effect of probiotics on functional changes in the brain through gut microbiota remains controversial in existing RCTs. Furthermore, to our knowledge, there is no systematic review to evaluate the effect of probiotics on functional changes in the brain through gut microbiota. Therefore, we aim to summarise literatures evaluating the potential association between probiotics, gut microbiota and functional changes in the brain to elucidate whether probiotics influence gut microbiota and affect functional changes in the brain through gut microbiota.Methods and analysis China National Knowledge Infrastructure, Wanfang Data, VIP Databases (the Chongqing VIP Chinese Science and Technology Periodical Database), SinoMed, PubMed, Web of Science, MEDLINE (The National Library of Medicine), EMBASE (Excerpt Medica Database), Scopus, the Cochrane Central Register of Controlled Trials and ClinicalTrials.gov will be searched until July 2019. The Grey Literature in Europe (OpenSIGLE) database and Google search engine will also be used. The reference lists of each included study will be reviewed to determine whether there are any further relevant studies. RCTs using probiotics compared with a placebo/control will be included. We will use risk of bias assessment and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system to assess the quality of evidence. The results of the systematic review will be synthesised narratively in the domains of the three primary outcome measures: (1) Increased/decreased activity in brain regions or altered functional connectivity (FC) of brain detected by fMRI and their association with changes in behaviour, gastrointestinal/emotional symptoms after using probiotics. (2) Changes in composition and diversity of the gut microbiota and their association with changes in behaviour, gastrointestinal/emotional symptoms after using probiotics. (3) Increased/decreased activity in brain regions or altered FC of brain detected by fMRI and the changes in composition or diversity of the gut microbiota after administration of probiotics.Ethics and dissemination The results will be disseminated through a peer-reviewed publication. As no private and confidential patient data will be included in the reporting, there are no ethical considerations associated with this protocol.PROSPERO registration number CRD42019145114.

Introduction Xerostomia is a common symptom in patients with cancer. Currently available methods to manage xerostomia include stringent oral hygiene using fluoride agents and antimicrobials, saliva substitutes and sialagogic agents, but side effects such as headache, dizziness and sweating can occur with these therapies. Clinical trials have shown that acupuncture may be effective in treating xerostomia. The objective of this systematic review is to assess the effectiveness and safety of acupuncture treatment for xerostomia caused by cancer.Methods and analysis This systematic review will incorporate articles identified by electronically searching the following databases: PubMed, MEDLINE, the Cochrane Library, AMED, EMbase, WorldSciNet, Nature, Science Online, China National Knowledge Infrastructure, the Chongqing VIP Chinese Science and Technology Periodical Database, the Wanfang Database and China Biology Medicine Disc from inception to 1 December 2019. Other sources including conference proceedings and reference lists of identified publications and existing systematic reviews will also be searched. Two reviewers will independently search the databases, perform data extraction and assess the quality of studies. Data will be synthesised using either a fixed-effects model or a random-effects model, according to heterogeneity testing. Patient-reported change in the Visual Analogue Scale or the Xerostomia Inventory will be assessed as the primary outcome. Saliva collection, whole saliva production and the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire C30 will be evaluated as secondary outcomes. RevMan V. 5.3 will be employed for data analysis. The results will be expressed as risk ratios for dichotomous data and mean differences for continuous data.Ethics and dissemination This protocol will not evaluate individual patient information or affect patient rights and therefore does not require ethical approval. Results from this review will be disseminated through peer-reviewed journals and conference reports.Trial registration number CRD42019129069.

Introduction There is a growing number of randomised controlled trials (RCTs) that focus on functional changes in the brain detected by functional MRI (fMRI) and gut microbiota composition changes after using probiotics. However, the effect of probiotics on functional changes in the brain through gut microbiota remains controversial in existing RCTs. Furthermore, to our knowledge, there is no systematic review to evaluate the effect of probiotics on functional changes in the brain through gut microbiota. Therefore, we aim to summarise literatures evaluating the potential association between probiotics, gut microbiota and functional changes in the brain to elucidate whether probiotics influence gut microbiota and affect functional changes in the brain through gut microbiota. Methods and analysis China National Knowledge Infrastructure, Wanfang Data, VIP Databases (the Chongqing VIP Chinese Science and Technology Periodical Database), SinoMed, PubMed, Web of Science, MEDLINE (The National Library of Medicine), EMBASE (Excerpt Medica Database), Scopus, the Cochrane Central Register of Controlled Trials and ClinicalTrials. gov will be searched until July 2019. The Grey Literature in Europe (OpenSIGLE) database and Google search engine will also be used. The reference lists of each included study will be reviewed to determine whether there are any further relevant studies. RCTs using probiotics compared with a placebo/control will be included. We will use risk of bias assessment and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) system to assess the quality of evidence. The results of the systematic review will be synthesised narratively in the domains of the three primary outcome measures: (1) Increased/decreased activity in brain regions or altered functional connectivity (FC) of brain detected by fMRI and their association with changes in behaviour, gastrointestinal/emotional symptoms after using probiotics. (2) Changes in composition and diversity of the gut microbiota and their association with changes in behaviour, gastrointestinal/emotional symptoms after using probiotics. (3) Increased/decreased activity in brain regions or altered FC of brain detected by fMRI and the changes in composition or diversity of the gut microbiota after administration of probiotics. Ethics and dissemination The results will be disseminated through a peer-reviewed publication. As no private and confidential patient data will be included in the reporting, there are no ethical considerations associated with this protocol. [ABSTRACT FROM AUTHOR]

Introduction Xerostomia is a common symptom in patients with cancer. Currently available methods to manage xerostomia include stringent oral hygiene using fluoride agents and antimicrobials, saliva substitutes and sialagogic agents, but side effects such as headache, dizziness and sweating can occur with these therapies. Clinical trials have shown that acupuncture may be effective in treating xerostomia. The objective of this systematic review is to assess the effectiveness and safety of acupuncture treatment for xerostomia caused by cancer. Methods and analysis This systematic review will incorporate articles identified by electronically searching the following databases: PubMed, MEDLINE, the Cochrane Library, AMED, EMbase, WorldSciNet, Nature, Science Online, China National Knowledge Infrastructure, the Chongqing VIP Chinese Science and Technology Periodical Database, the Wanfang Database and China Biology Medicine Disc from inception to 1 December 2019. Other sources including conference proceedings and reference lists of identified publications and existing systematic reviews will also be searched. Two reviewers will independently search the databases, perform data extraction and assess the quality of studies. Data will be synthesised using either a fixed-effects model or a random-effects model, according to heterogeneity testing. Patient-reported change in the Visual Analogue Scale or the Xerostomia Inventory will be assessed as the primary outcome. Saliva collection, whole saliva production and the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire C30 will be evaluated as secondary outcomes. RevMan V. 5.3 will be employed for data analysis. The results will be expressed as risk ratios for dichotomous data and mean differences for continuous data. Ethics and dissemination This protocol will not evaluate individual patient information or affect patient rights and therefore does not require ethical approval. Results from this review will be disseminated through peer-reviewed journals and conference reports. [ABSTRACT FROM AUTHOR]

Objectives This study aims to assess the volunteer motivation and stress load of patient volunteers in the Fangcang shelter hospitals (FSHs), examine their associations, and explore the potential influence factors of volunteer motivation.Design Cross-sectional online survey conducted from 21 April to 20 May 2022.Setting Questionnaires were collected from patient volunteers selected by random cluster sampling in the FSHs in Shanghai, China.Participants 197 participants who met the inclusion criteria as patients who were asymptomatic or presenting with mild symptoms in the FSHs and who volunteered to assist with routine work under quarantined settings.Outcome measures We investigated sociodemographic information, stress load and volunteer motivation through an online survey using the Volunteer Function Inventory and the Stress Overload Scale. Comparisons between groups were conducted by applying t-tests or analysis of variance. The correlation between volunteer motivation and stress was analysed by Pearson correlation. Influencing factors of volunteer motivation were determined by multivariable linear regression models. A value of p