BACKGROUND: Despite extensive investment, the development of effective treatments for Alzheimer\'s disease (AD) has been largely unsuccessful. To improve translation, it is crucial to ensure the quality and reproducibility of foundational evidence generated from laboratory models. Systematic reviews play a key role in providing an unbiased overview of the evidence, assessing rigor and reporting, and identifying factors that influence reproducibility. However, the sheer pace of evidence generation is prohibitive to evidence synthesis and assessment.
METHODS: To address these challenges, we have developed AD-SOLES, an integrated workflow of automated tools that collect, curate, and visualise the totality of evidence from in vivo experiments.
RESULTS: AD-SOLES is a publicly accessible interactive dashboard aiming to surface and expose data from in vivo experiments. It summarises the latest evidence, tracks reporting quality and transparency, and allows research users to easily locate evidence relevant to their specific research question.
METHODS: Using automated screening methodologies within AD-SOLES, systematic reviews can begin at an accelerated starting point compared to traditional approaches. Furthermore, through text-mining approaches within the full-text of publications, users can identify research of interest using specific models, outcomes, or interventions without relying on details in the title and/or abstract.
CONCLUSIONS: By automating the collection, curation, and visualisation of evidence from in vivo experiments, AD-SOLES addresses the challenges posed by the rapid pace of evidence generation. AD-SOLES aims to offer guidance for research improvement, reduce research waste, highlight knowledge gaps, and support informed decisionmaking for researchers, funders, patients, and the public.

BACKGROUND: A significant body of literature suggests that exercise can reverse cognitive impairment and ameliorate somatic function in patients with Alzheimer\'s disease (AD). Systematic reviews (SRs), a common approach of evidence-based medicine, concentrate on a specific issue of a research area. The objective of this work is to provide an overview of existing evidence on the effects of exercise intervention in AD patients and report related health outcomes by reviewing SRs.
METHODS: SRs on exercise intervention in AD patients were retrieved from the PubMed, the Cochrane Library, CBMdisc, Scopus, Web of Science, Embase (via Ovid), China National Knowledge Infrastructure, and WanFang databases from the time of inception to February 2023. The quality of the SRs was evaluated utilizing the A Measurement Tool to Assess Systematic Review 2 (AMSTAR 2) checklist. The results were reported according to the population-intervention-comparison-outcome (PICO) framework and the corresponding evidence mapping was illustrated in tables and bubble plots.
RESULTS: A total of 26 SRs met the eligibility criteria. In terms of methodological quality, 10 SRs were rated as \"critically low\", 13 SRs were rated as \"low\", and 3 SRs were rated as \"moderate\". Exercise was found to exert a beneficial effect on cognitive function, functional independence, physical function, and neuropsychiatric symptoms in patients with AD.
CONCLUSIONS: Exercise intervention benefits AD patients mainly by improving cognitive function, physical function, functional independence, and neuropsychiatric symptoms. However, due to the low-to-moderate methodology of most SRs included in this analysis, further investigations are required to support our current findings.

Background: Given the growing population of older adults globally, e-Health plays an indispensable role in the chronic disease management of multimorbidity. However, qualitative evidence that synthesizes the experiences of older adults with multimorbidity using e-Health service is currently lacking. The objective was to explore the experiences and perceptions of e-Health care in community-based settings among the older adults with multimorbidity. Methods: Seven electronic databases including PubMed, The Cochrane Library, Cumulative Index to Nursing and Allied Health Literature, Embase, Web of Science, China National Knowledge Infrastructure, and Chinese BioMedical Literature were searched, and the search was limited to studies from inception to September 1, 2023. Screening, data extraction, and quality appraisal were conducted independently by two reviewers. Thomas and Harden\'s thematic synthesis methodology was applied to synthesize the original themes. The methodological quality of included studies was assessed using the Joanna Briggs Institute Critical Appraisal Checklist for Qualitative Research, and the confidence of synthesized themes was evaluated by the Confidence in the Evidence from Reviews of Qualitative Research approaches. Results: Ten studies with moderate methodological quality met eligibility criteria and were included finally. Studies were conducted in four countries with 235 participants who were living with multiple chronic conditions. Among the 10 included studies, 37 credible findings were extracted and interpreted into 3 synthesized themes and 12 subthemes: (1) advantages and benefits perceived during e-Health service, (2) multidimensional challenges and negative experience posed by e-Health service, and (3) preferences, suggestions, and expectations for future e-Health improvement. The confidence in the majority of the three final synthesized themes was rated between \"low\" and \"moderate\" scales. Conclusions: The findings of this study provide new insights into implementing tailored e-Health care for older adults with multimorbidity. Further research should emphasize on realizing the potential value of e-Health service based on users\' needs and perspectives to promote age-friendliness in geriatric practice.

UNASSIGNED: The primary objective of this systematic review and meta-analysis was to assess the impact of dextrose prolotherapy on individuals diagnosed with knee osteoarthritis (KOA).
UNASSIGNED: To conduct a thorough investigation, a variety of leading international databases were checked, including PubMed (Medline), Scopus, Web of Sciences, EMBASE (Elsevier), ClinicalTrials.gov, and the Cochrane Library. The search covered a period from January 2000 to the end of June 2023, which facilitated the collection of relevant studies.
UNASSIGNED: The findings of the study revealed that when the studies utilizing the Western Ontario McMaster Universities Index tool (WOMAC) were combined, patients with KOA who received prolotherapy experienced an improvement in function compared with those who received other treatments (SMD: 0.20; 95% Confidence Interval [1]: -0.11, 0.51; p value SMD = 0.221; I 2: 78.49%; p heterogeneity < 0.001). Additionally, there was a decrease in mean pain and stiffness among patients who received prolotherapy compared with those who received other treatments or a placebo [(SMD: -0.95; 95% CI: -1.14, -0.76; p value SMD < 0.001; I 2: 59.35%; p heterogeneity = 0.070) and (SMD: -0.21; 95% CI: -0.32, -0.10; p value SMD < 0.001; I 2: 88.11%; p heterogeneity < 0.001)]. Furthermore, based on the Visual Analog Scale (VAS) score, there was a reduction of 0.81 units out of 10 in mean pain for patients with KOA who received prolotherapy (SMD: -0.81; 95% CI: -5.63, 4.10; p value SMD = 0.693; I 2: 48.54%; p heterogeneity = 0.08).
UNASSIGNED: Drawing from the data analysis performed in this meta-analysis, it is apparent that dextrose prolotherapy exhibits promising effectiveness in reducing joint pain and stiffness, as well as improving functional performance in individuals suffering from KOA. Furthermore, it is recommended that forthcoming studies incorporate follow-up periods to guide decisions concerning the duration of prolotherapy\'s effects.

UNASSIGNED: The impact of the Standard Protocol Items: Recommendations for Interventional Trials of Traditional Chinese Medicine (SPIRIT-TCM) Extension 2018 statement on the reporting quality of randomized controlled trial (RCT) protocols in traditional Chinese medicine (TCM) is not clear. This review aimed to assess the reporting characteristics and quality of RCT protocols involving interventions such as Chinese herbal medicine formulas (CHMF), acupuncture, and moxibustion published in the last 3 years.
UNASSIGNED: We conducted an extensive search among multiple databases, including All EBM Reviews, Allied and Complementary Medicine (AMED), Embase, Ovid MEDLINE(R), PubMed, Web of Science, Google Scholar, and ClinicalTrials.gov for publications in English from 1 January 2020 to 10 August 2023. Two reviewers independently assessed the eligibility of the publications, extracted predetermined information, and evaluated the reporting based on the SPIRIT-TCM Extension 2018 checklist.
UNASSIGNED: Of the 420 eligible protocols (comprising 163 studies on CHMF, 239 on acupuncture, and 18 on moxibustion), the average reporting compliance rate was only 35.4%. Approximately half of the assessed items fell into the category of poorly reported, demonstrating a compliance rate below 65%. Notably, reporting compliance in acupuncture and moxibustion interventional studies exhibited higher scores than compliance in CHMF studies.
UNASSIGNED: Continued, concerted, and coordinated efforts are required by journals, editors, reviewers, and investigators to improve the application and promotion of the SPIRIT-TCM Extension 2018 reporting guideline.

Accurate data extraction is a key component of evidence synthesis and critical to valid results. The advent of publicly available large language models (LLMs) has generated interest in these tools for evidence synthesis and created uncertainty about the choice of LLM. We compare the performance of two widely available LLMs (Claude 2 and GPT-4) for extracting pre-specified data elements from 10 published articles included in a previously completed systematic review. We use prompts and full study PDFs to compare the outputs from the browser versions of Claude 2 and GPT-4. GPT-4 required use of a third-party plugin to upload and parse PDFs. Accuracy was high for Claude 2 (96.3%). The accuracy of GPT-4 with the plug-in was lower (68.8%); however, most of the errors were due to the plug-in. Both LLMs correctly recognized when prespecified data elements were missing from the source PDF and generated correct information for data elements that were not reported explicitly in the articles. A secondary analysis demonstrated that, when provided selected text from the PDFs, Claude 2 and GPT-4 accurately extracted 98.7% and 100% of the data elements, respectively. Limitations include the narrow scope of the study PDFs used, that prompt development was completed using only Claude 2, and that we cannot guarantee the open-source articles were not used to train the LLMs. This study highlights the potential for LLMs to revolutionize data extraction but underscores the importance of accurate PDF parsing. For now, it remains essential for a human investigator to validate LLM extractions.

Restoring nutrient circularity across scales is important for ecosystem integrity as well as nutrient and food security. As such, research and development of technologies to recover plant nutrients from various organic residues has intensified. Yet, this emerging field is diverse and difficult to navigate, especially for newcomers. As an increasing number of actors search for circular solutions to nutrient management, there is a need to simplify access to the latest knowledge. Since the majority of nutrients entering urban areas end up in human excreta, we have chosen to focus on human excreta and domestic wastewater. Through systematic mapping with stakeholder engagement, we compiled and consolidated available evidence from research and practice. In this paper, we present \'Egestabase\' - a carefully curated open-access online evidence platform that presents this evidence base in a systematic and accessible manner. We hope that this online evidence platform helps a variety of actors to navigate evidence on circular nutrient solutions for human excreta and domestic wastewater with ease and keep track of new findings.

OBJECTIVE: Localized exercises are employed to activate, train, or restore the function of particular muscles and they are usually considered as part of treating individuals suffering low back pain. So, this systematic review and meta-analysis aimed to assess the efficacy of specific exercises in general population with non-specific low back pain (LBP).
METHODS: We conducted electronic searches in MEDLINE/PubMed, Scopus, Web of Science (WoS), and Google scholar from January 1990 to June 2021. Initially, 47,740 records were identified. Following the removal of duplicates, 32,138 records were left. After reviewing titles and abstracts, 262 papers were chosen for thorough assessment. Among these, 208 studies were excluded, resulting in 54 trials meeting the inclusion criteria for this study. Additionally, 46 of these trials were randomized controlled trials and were further evaluated for the meta-analysis. We included trials investigating the effectiveness of exercise therapy, including isometric activation of deep trunk muscles, strengthening exercises, stabilization exercises, stretching exercises, and proprioceptive neuromuscular facilitation exercises (PNF) in LBP patients. The primary outcome was pain intensity, measured using tools such as the visual analogue scale (VAS) and numeric pain rating scale (NPRS). The secondary outcome was disability, assessed through instruments such as the Roland Morris Disability Questionnaire (RMDQ) and Oswestry Disability Index (ODI). The quality of the eligible studies was assessed using the Verhagen tool, and the level of evidence was evaluated using the GRADE approach.
RESULTS: Based on the Verhagen tool, 46 trials (85.2%) were categorized as having low methodological quality, while 8 studies (14.8%) were considered to have medium methodological quality. The meta-analysis indicated a small efficacy in favor of isometric activation of deep trunk muscles (-0.37, 95% CI: -0.88 to 0.13), a moderate efficacy in favor of stabilization exercises (-0.53, 95% CI: -1.13 to 0.08), and a large efficacy in favor of PNF exercises (-0.91, 95% CI: -1.62 to -0.2) for reducing pain intensity as assessed by VAS or NPRS tools. Moreover, the meta-analysis revealed a moderate efficacy for isometric activation of deep trunk muscles (-0.61, CI: -1.02 to -0.19), and a large efficacy for PNF exercises (-1.26, 95% CI: -1.81 to -0.72) in improving disability, assessed using RMDQ or ODI questionnaires. The level of certainty in the evidence, as determined by the GRADE approach, was very low to low.
CONCLUSIONS: These findings emphasize the importance of incorporating localized therapeutic exercises as a fundamental aspect of managing non-specific LBP. Clinicians should consider utilizing localized therapeutic exercise tailored to individual patient needs. Furthermore, further research investigating optimal exercise therapy, optimal dose of the exercises, durations, and long-term adherence is warranted to enhance the precision and efficacy of exercise-based interventions for non-specific LBP.

UNASSIGNED: The Behaviour Change Intervention Ontology (BCIO) aims to improve the clarity, completeness and consistency of reporting within intervention descriptions and evidence synthesis. However, a recommended method for transparently annotating intervention evaluation reports using the BCIO does not currently exist. This study aimed to develop a data extraction template for annotating using the BCIO.
UNASSIGNED: The BCIO data extraction template was developed in four stages: i) scoping review of papers citing component ontologies within the BCIO, ii) development of a draft template, iii) piloting and revising the template, and iv) dissemination and maintenance of the template.
UNASSIGNED: A prototype data extraction template using Microsoft Excel was developed based on BCIO annotations from 14 papers. The \'BCIO data extraction template v1\' was produced following piloting and revision, incorporating a facility for user feedback.
UNASSIGNED: This data extraction template provides a single, accessible resource to extract all necessary characteristics of behaviour change intervention scenarios. It can be used to annotate the presence of BCIO entities for evidence synthesis, including systematic reviews. In the future, we will update this template based on feedback from the community, additions of newly published ontologies within the BCIO, and revisions to existing ontologies.
Behaviour change interventions are often reported in an inconsistent and incomplete manner in study reports. This makes it difficult to build knowledge and predict outcomes. There is a need for a shared language to describe behaviour change interventions. This need was met using ‘ontologies’, which are classification systems that represent knowledge in a standardised way. The Behaviour Change Intervention Ontology (BCIO) has been developed to describe the different aspects of interventions in a way that is precise enough for computers as well as humans to ‘read’ study findings. The BCIO can be used to extract information from study reports for evidence synthesis, such as systematic literature reviews. To meet the need for a resource for annotating (coding) study reports according to the BCIO, we developed a data extraction template. The template was developed in four stages: i) reviewing existing papers using the BCIO, ii) development of a draft template, iii) piloting and revising the template, and iv) dissemination and maintenance of the template. The resulting resource is an accessible, easy-to-use template to assist with specifying the content of published papers reporting interventions and their evaluation. The template will be updated based on user feedback and future revisions to the BCIO.

OBJECTIVE: Patient-reported outcome measures (PROMs) have emerged as a promising approach to involve patients in their treatment process. Beyond serving as outcome measures, PROMs can be applied to provide feedback to healthcare providers and patients, thereby offering valuable insights that can improve health outcomes and care processes. This overview offers a comprehensive synthesis of the effects of PROM feedback, contributing to the evidence-based discussion on PROMs\' potential to enhance patient care.
METHODS: Following Cochrane Collaboration recommendations, this overview included literature reviews across diverse treatment areas, investigating the impact of PROM feedback on patient health outcomes (including quality of life, symptoms, or survival) and care process outcomes (including communication, symptom identification, or clinical practice). The methodological quality of the evidence was assessed with a modified version of A Measurement Tool to Assess Systematic Reviews 2, and the potential overlap of primary studies was quantified. Results were narratively synthesized.
RESULTS: Forty reviews grouped into 4 categories of treatment areas were included. Overall, their methodological quality was low. The overall overlap of primary studies was 2.2%, reaching up to 15.7% within specific treatment areas. The results indicate that PROM feedback may enhance the quality-of-care processes, whereas its effects on patient health outcomes remained less conclusive.
CONCLUSIONS: PROM feedback positively influences the interaction between physicians and patients across the included treatment areas. Further research is needed to comprehend the trickle-down effects of PROM feedback and how to enhance its potential in yielding health benefits for patients.