Data Extraction Research Articles

Effectiveness of Horticultural Therapy in Older Patients With Dementia: A Meta-Analysis Systemic Review.

Our study aims to assess the effectiveness of horticultural therapy in improving outcomes in older patients with dementia. A systematic review and meta-analysis. The included studies comprised randomised controlled trials (RCTs) that aimed to assess the effectiveness of horticultural therapy on cognitive function in older patients with dementia. The study design and data extraction were independently conducted by two investigators, who also evaluated the risk of bias using RoB 2.0. The meta-analysis was carried out using Stata 15.1 software. On November 2023, we searched relevant English and Chinese publications in PubMed, Web of Science, Cochrane Library, Embase, CNKI and Wanfang databases. The meta-analysis included a total of 9 RCTs, involving 655 older patients diagnosed with dementia. The findings from these studies demonstrated that horticultural therapy had a significant positive impact on various aspects of the patients' well-being when compared to conventional care. Specifically, it was found to improve cognitive function scores, alleviate symptoms of depression, enhance daily activities and enhance overall quality of life. When conducting a subgroup analysis, it was observed that horticultural therapy had a statistically significant effect on cognitive function in older patients with dementia when the intervention frequency was at least two times per week. Furthermore, interventions with a duration of less than 6 months were found to be more effective than those lasting 6 months or longer. Additionally, outdoor horticultural therapy was found to be superior to indoor interventions. Moreover, structured interventions were observed to yield better outcomes compared to non-structured interventions. More high-quality studies are needed to further corroborate these findings due to the low quality of the included studies. Horticultural therapy has been found to have a significantly positive impact on the cognitive function, depression status, ADL, and quality of life of older patients with dementia. We provide references for non-pharmacologic treatment of older patients with dementia. WHAT PROBLEM DID THE STUDY ADDRESS?: This study aimed to measure the efficacy of horticultural therapy in older patients with dementia across four dimensions: cognitive function, depression levels, daily living activities and overall quality of life. WHAT WERE THE MAIN FINDINGS?: In older patients with dementia, horticultural therapy has been proven to have a significant positive impact on cognitive function, depressive status, activities of daily living and quality of life. WHERE AND ON WHOM WILL THE RESEARCH HAVE AN IMPACT?: This study will inform non-pharmacological interventions for older patients with dementia worldwide. No Patient or Public Contribution.

Co-occurring Intimate Partner Violence, Mental Health, Human Immunodeficiency Virus, and Parenting Among Women: A Scoping Review.

Little research exists on the human immunodeficiency virus (HIV)-intimate partner violence (IPV)-mental health (MH) syndemic impact on parenting. The objective of this scoping review is to identify and summarize the available evidence regarding the syndemic relationship between HIV or Acquired Immune Deficiency Syndrome (AIDS), IPV, and poor MH among mothers and caregivers who identify as women. We conducted the review according to the Joanna Briggs Institute and Preferred Reporting Items for Systematic reviews and meta-analyses extension for scoping reviews guidelines, a comprehensive search was conducted from 2001 to September 2023. The inclusion criteria targeted studies examining at least two of the HIV, IPV, or MH epidemics among participants and their syndemic impact on parenting. Both qualitative and quantitative studies were included. Covidence software was used to screen and extract data. Twenty-three studies were included in the analysis. Most of the studies were conducted in the United States. Furthermore, all the studies used quantitative research designs, with most being longitudinal. Most of the research was concentrated on the IPV-MH syndemic with no research found on the HIV-IPV syndemic impact on parenting. Research on the HIV-IPV-MH syndemic found that an HIV diagnosis exacerbated the negative impacts of IPV-MH on parenting. Research on IPV-MH showed that this syndemic significantly influences parenting, leading to less nurturing and more punitive behaviors. Studies did not find a direct association between IPV and harsh parenting practices, the relationship was mediated by poor MH. Studies examining the HIV-MH syndemic found that anxiety and maternal depression were the most frequent MH disorders. The review revealed that living with the different syndemics, (IPV-MH-HIV, HIV-MH, and IPV-MH) adversely affects parenting practices, resulting in harsher parenting.

The cost-effectiveness of preventing, diagnosing, and treating postpartum haemorrhage: A systematic review of economic evaluations.

Postpartum haemorrhage (PPH) is an obstetric emergency. While PPH-related deaths are relatively rare in high-resource settings, PPH continues to be the leading cause of maternal mortality in limited-resource settings. We undertook a systematic review to identify, assess, and synthesise cost-effectiveness evidence on postpartum interventions to prevent, diagnose, or treat PPH. This systematic review was prospectively registered on PROSPERO (CRD42023438424). We searched Medline, Embase, NHS Economic Evaluation Database (NHS EED), EconLit, CINAHL, Emcare, Web of Science, and Global Index Medicus between 22 June 2023 and 11 July 2024 with no date or language limitations. Full economic evaluations of any postpartum intervention for prevention, detection, or management of PPH were eligible. Study screening, data extraction, and quality assessments (using the CHEC-E tool) were undertaken independently by at least 2 reviewers. We developed narrative syntheses of available evidence for each intervention. From 3,993 citations, 56 studies were included: 33 studies of preventative interventions, 1 study assessed a diagnostic method, 17 studies of treatment interventions, 1 study comparing prevention and treatment, and 4 studies assessed care bundles. Twenty-four studies were conducted in high-income countries, 22 in upper or lower middle-income countries, 3 in low-income countries, and 7 studies involved countries of multiple income levels. Study settings, methods, and findings varied considerably. Interventions with the most consistent findings were the use of tranexamic acid for PPH treatment and using care bundles. In both cases, multiple studies predicted these interventions would either result in better health outcomes and cost savings, or better health outcomes at acceptable costs. Limitations for this review include that no ideal setting was chosen, and therefore, a transferability assessment was not undertaken. In addition, some sources of study uncertainty, such as effectiveness parameters, were interrogated to a greater degree than other sources of uncertainty. In this systematic review, we extracted, critically appraised, and summarised the cost-effectiveness evidence from 56 studies across 16 different interventions for the prevention, diagnosis, and treatment of PPH. Both the use of tranexamic acid as part of PPH treatment, and the use of comprehensive PPH bundles for prevention, diagnosis, and treatment have supportive cost-effectiveness evidence across a range of settings. More studies utilizing best practice principles are required to make stronger conclusions on which interventions provide the best value. Several high-priority interventions recommended by World Health Organization (WHO) such as administering additional uterotonics, non-pneumatic anti-shock garment, or uterine balloon tamponade (UBT) for PPH management require robust economic evaluations across high-, middle-, and low-resource settings.

Effectiveness of moisturising therapy in treating nipple trauma: a systematic review protocol

IntroductionBreastfeeding is crucial in infant nutrition and bonding, recommended for at least 6 months and up to 2 years postpartum, providing health benefits for both infants and mothers. However, nipple...

Morphological changes in temporomandibular joint architecture in patients with temporomandibular disorders: systematic review protocol

ObjectiveThe review involves the assessment of morphological variations in the temporomandibular joint (TMJ) and its associated structures in patients with temporomandibular disorder.IntroductionTemporomandibular disorders (TMD) are debilitating conditions that affect the...

Rethinking the Social Determination of Food in Chile Through Practices and Interactions of Actors in Food Environments: Nonexperimental, Cross-Sectional Study.

Food environments are crucial for promoting healthy and sustainable eating and preventing obesity. However, existing food environment frameworks assume an already installed causality and do not explain how associations in food environments are established or articulated, especially from an integrative and transdisciplinary approach. This research attempts to bridge these gaps through the use of Actor-Network Theory, which traces the relationship network between human (and nonhuman) actors in order to describe how these interact and what agencies (direct or remote) are involved. This study aims to explain the practices and interactions of actors in food environments in order to approach the problem of unhealthy eating with a transdisciplinary approach. This is a nonexperimental, cross-sectional study. Due to the complexity of the study phenomena, a mixed methods approach with 4 consecutive phases will be developed in Chile. Phase 1 involves a systematic literature review of food environment evidence since 2015, following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) protocol; phase 2 involves the application of a shortened version of the Nutrition Environment Measure Scale-Perceptions adapted to Chile (NEMS-P-Ch) in 2 neighborhoods with different socioeconomic levels; in phase 3, six focus groups in each neighborhood will be conducted to address social determinants such as gender, employment status, and migration; and in phase 4, participant observation and in-depth interviews will be used to analyze the direct and empirical exploration of the actors in their daily interaction with food environments. The triangulation and complementarity of the data will allow us to create a practical model about the practices and interactions of actors in their food environments, which reflects the complexity and transdisciplinary nature of the study. We have advanced in phases 1-3 of the study. In phase 1, a total of 109 manuscripts are being revised for data extraction. In phase 2, we applied the NEMS-P-Ch to 785 people, 49.4% (388/785) of whom belong to a low socioeconomic neighborhood. Participants from phase 2 are being contacted to participate in the focus groups (phase 3). By the end of July, we have conducted 6 focus groups with 5-11 participants. This study will provide a comprehensive understanding of how individuals interact with their food environments, offering deep insights into the factors influencing their food-related decisions. In addition, the study aims to develop a model that more accurately reflects reality by examining not only the food environments themselves but also the interactions among various stakeholders within these environments and their daily practices. The findings of this study will offer evidence-based insights to inform public policies tailored to the specific territories and communities under investigation or those with similar characteristics. DERR1-10.2196/62765.

A comprehensive data network for data-driven study of battery materials

ABSTRACT Data-driven material research for property prediction and material design using machine learning methods requires a large quantity, wide variety, and high-quality materials data. For battery materials, which are commonly polycrystalline, ceramics, and composites, multiscale data on substances, materials, and batteries are required. In this work, we develop a data network composed of three interlinked databases, from which we can obtain comprehensive data on substances such as crystal structures and electronic structures, data on materials such as chemical composition, structure, and properties, and data on batteries such as battery composition, operation conditions, and capacity. The data are extracted from research papers on solid electrolytes and cathode materials, selected by screening more than 330 thousand papers using natural language processing tools. Data extraction and curation are carried out by editors specialized in material science and trained in data standardization.

Guideline concordant screening and monitoring of extrapyramidal symptoms in patients prescribed antipsychotic medication: a protocol for a systematic literature review and narrative synthesis

IntroductionGiven the increasing rates of antipsychotic use in multiple psychiatric conditions, greater attention to the assessment, monitoring and documentation of their side effects is warranted. While a significant degree of...

Salbutamol safety in children under 2 years of age with acute wheezing: a meta-analysis of randomised controlled trials

ObjectiveTo evaluate the safety of short-term use of inhaled salbutamol in children under 2 years of age with acute wheezing.Data sourcesElectronic databases (PubMed, Trip, MEDLINE) and the Cochrane Library were...

An open-source framework for end-to-end analysis of electronic health record data.

With progressive digitalization of healthcare systems worldwide, large-scale collection of electronic health records (EHRs) has become commonplace. However, an extensible framework for comprehensive exploratory analysis that accounts for data heterogeneity is missing. Here we introduce ehrapy, a modular open-source Python framework designed for exploratory analysis of heterogeneous epidemiology and EHR data. ehrapy incorporates a series of analytical steps, from data extraction and quality control to the generation of low-dimensional representations. Complemented by rich statistical modules, ehrapy facilitates associating patients with disease states, differential comparison between patient clusters, survival analysis, trajectory inference, causal inference and more. Leveraging ontologies, ehrapy further enables data sharing and training EHR deep learning models, paving the way for foundational models in biomedical research. We demonstrate ehrapy's features in six distinct examples. We applied ehrapy to stratify patients affected by unspecified pneumonia into finer-grained phenotypes. Furthermore, we reveal biomarkers for significant differences in survival among these groups. Additionally, we quantify medication-class effects of pneumonia medications on length of stay. We further leveraged ehrapy to analyze cardiovascular risks across different data modalities. We reconstructed disease state trajectories in patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) based on imaging data. Finally, we conducted a case study to demonstrate how ehrapy can detect and mitigate biases in EHR data. ehrapy, thus, provides a framework that we envision will standardize analysis pipelines on EHR data and serve as a cornerstone for the community.

Unlocking knowledge: a meta-analysis assessing the efficacy of educational escape rooms in health sciences education.

Educational escape rooms within health sciences education are gaining traction as a unique and engaging game-based strategy for reviewing instructional content. Educational escape rooms cultivate valuable skills such as teamwork, communication, creativity, attention to detail, and the ability to apply knowledge under time pressures. While several studies have independently assessed learners' knowledge gains after educational escape room interventions, the present work meta-analyzes the efficacy of educational escape rooms across studies and student learners within health sciences education. A systematic search across seven databases was performed by a health sciences librarian from inception to March 24, 2023. Record screenings, full-text reviews, and data extractions were managed within Covidence. MERSQI criteria were used to assess study quality. Pooled effect sizes (Standardized Mean Differences = SMD) were estimated through meta-analysis to summarize learner performance outcomes after educational escape room interventions. Eleven studies followed a longitudinal pretest-posttest design, and five studies followed a control-treatment group design. Learners' posttest scores after participating in an educational escape room were statistically higher than their pretest scores as indicated by a large positive summary effect size (SMD ≥ 0.893; p <0.001). Educational escape rooms were also effective for treatment group participants (n = 508), who significantly outperformed (SMD = 0.616; p <0.001) control group participants (n = 555). Most escape rooms were employed as a mechanism for reviewing educational content. This meta-analytic review suggests escape rooms are effective educational interventions for increasing knowledge gains among health sciences learners and highlights common implementation practices to help guide educators interested in this game-based learning approach.

Household food insecurity and symptoms of anxiety and depression during pregnancy: Systematic review and meta-analysis.

Household food insecurity (HFI) has been related to adverse maternal-child health outcomes and mental health worsening during pregnancy. Few studies evaluated the temporal association between HFI and anxiety and depressive symptoms in pregnant women, and this association remains not completely understood. This study aimed to systematically review the association between HFI and symptoms of depression and anxiety in pregnant individuals. The systematic review protocol was registered in the International Prospective Register of Systematic Reviews (CRD42022373615). Systematic searches were conducted on 10 electronic databases and grey literature. Two researchers independently conducted the study selection, data extraction process, and the risk of bias assessment. Random-effects meta-analysis models were used, and I2 > 40% indicated high heterogeneity across studies. Eighteen articles were included for the systematic review, comprising n = 27,882, and a total of 18,987 pregnant individuals aged between 14 and 45 years were included in the meta-analysis. The prevalence of HFI reported in studies ranged from 12.6% to 62.1% (n = 17). The prevalence of depressive and anxiety symptoms ranged from 18% to 49% (n = 11) and 23% to 34% (n = 2), respectively. HFI during pregnancy was associated with increased odds of experiencing symptoms of depression [(OR: 2.52; 95% CI: 2.11-3.02), I2 = 73.23%]. The quality of evidence was very low due to high heterogeneity. Our findings highlighted the association between HFI and depression symptoms during pregnancy. Findings from this study suggest the importance of assessing HFI and mental health during pregnancy.

Enhancing the interoperability and transparency of real-world data extraction in clinical research: Evaluating the feasibility and impact of a ChatGLM implementation in Chinese hospital settings

Enhancing the interoperability and transparency of real-world data extraction in clinical research: Evaluating the feasibility and impact of a ChatGLM implementation in Chinese hospital settings

HINTs: Sensemaking on large collections of documents with Hypergraph visualization and INTelligent agents.

Sensemaking on a large collection of documents (corpus) is a challenging task often found in fields such as market research, legal studies, intelligence analysis, political science, or computational linguistics. Previous works approach this problem from topic- and entity-based perspectives, but the capability of the underlying NLP model limits their effectiveness. Recent advances in prompting with LLMs present opportunities to enhance such approaches with higher accuracy and customizability. However, poorly designed prompts and visualizations could mislead users into falsely interpreting the visualizations and hinder the system's trustworthiness. In this paper, we address this issue by taking into account the user analysis tasks and visualization goals in the prompt-based data extraction stage, thereby extending the concept of Model Alignment. We present HINTs, a VA system for supporting sensemaking on large collections of documents, combining previous entity-based and topic-based approaches. The visualization pipeline of HINTs consists of three stages. First, entities and topics are extracted from the corpus with prompts. Then, the result is modeled as a hypergraph and hierarchically clustered. Finally, an enhanced space-filling curve layout is applied to visualize the hypergraph for interactive exploration. The system further integrates an LLM-based intelligent chatbot agent in the interface to facilitate the sensemaking of interested documents. To demonstrate the generalizability and effectiveness of the HINTs system, we present two case studies on different domains and a comparative user study. We report our insights on the behavior patterns and challenges when intelligent agents are used to facilitate sensemaking. We find that while intelligent agents can address many challenges in sensemaking, the visual hints that visualizations provide are still necessary. We discuss limitations and future work for combining interactive visualization and LLMs more profoundly to better support corpus analysis.

Artificial intelligence for optimizing recruitment and retention in clinical trials: a scoping review.

The objective of our research is to conduct a comprehensive review that aims to systematically map, describe, and summarize the current utilization of artificial intelligence (AI) in the recruitment and retention of participants in clinical trials. A comprehensive electronic search was conducted using the search strategy developed by the authors. The search encompassed research published in English, without any time limitations, which utilizes AI in the recruitment process of clinical trials. Data extraction was performed using a data charting table, which included publication details, study design, and specific outcomes/results. The search yielded 5731 articles, of which 51 were included. All the studies were designed specifically for optimizing recruitment in clinical trials and were published between 2004 and 2023. Oncology was the most covered clinical area. Applying AI to recruitment in clinical trials has demonstrated several positive outcomes, such as increasing efficiency, cost savings, improving recruitment, accuracy, patient satisfaction, and creating user-friendly interfaces. It also raises various technical and ethical issues, such as limited quantity and quality of sample size, privacy, data security, transparency, discrimination, and selection bias. While AI holds promise for optimizing recruitment in clinical trials, its effectiveness requires further validation. Future research should focus on using valid and standardized outcome measures, methodologically improving the rigor of the research carried out.

Verification of the accuracy of Sentinel-1 for DEM extraction error analysis under complex terrain conditions

The successful launch of the Sentinel-1 satellite in 2014 brought a large amount of free SAR images to researchers and scholars, and its application in the fields of ocean monitoring, land use change, natural disaster monitoring and emergency response is becoming increasingly mature and precise. The main applications of InSAR can be categorized into surface deformation monitoring and DEM generation. Sentinel-1 was initially designed for surface deformation monitoring; thus, there are fewer relevant studies on the use of Sentinel-1 data for DEM extraction. However, as the only SAR satellite whose data are currently free and openly available and whose data are constantly updated, it is highly important to study its sources of error in the DEM generation process and the accuracy of its products. In addition, the SAR data provided by the Sentinel-1 satellite has the advantages of high resolution, all-day, all-weather, providing a large data source for DEM production. Taking the Ankang area as an example, this paper analyzes the influence of the InSAR spatiotemporal baseline, ground cover, terrain factors, SAR imaging and other factors on the accuracy of the Sentinel-1-extracted DEM using multisource ground observation data to validate its feasibility for terrain mapping in complex terrain. Finally, we look forward to how to effectively improve the quality of Sentinel-1 DEM products to provide guidance and a reference for subsequent research on DEM extraction using Sentinel-1 SAR images and designation of Sentinel-1 C satellite’s parameters.

Early maladaptive schemas mediate the relationship between severe childhood trauma and eating disorder symptoms: evidence from an exploratory study

BackgroundChildhood trauma history has frequently been linked to eating disorders (EDs); nevertheless, the scientific literature calls for extending knowledge regarding mediators between EDs and childhood trauma. This study explored whether ED symptoms and early maladaptive schemas were more severe in ED patients with severe childhood trauma than in ED patients with no/mild childhood trauma and whether early maladaptive schemas mediated the relationship between childhood trauma and ED symptom severity.MethodsData were extracted from the Regional Centre for Eating Disorders registry at the University Hospital of Verona. The extracted data included self-reported data, including the Eating Disorder Inventory-3 score, Young Schema Questionnaire score, Childhood Experience and Experience of Care and Abuse Questionnaire score, and sociodemographic and clinical information on the ED outpatients seeking care. A mediation analysis using the structural equation modeling procedure was conducted.ResultsForty-two outpatients, 31% of whom exhibited severe childhood trauma, satisfied the criteria for registry data extraction. The severity of ED symptoms, as well as the early maladaptive schemas’ scores for emotional deprivation, defectiveness, failure, vulnerability, insufficient self-control, and negativity, were greater in ED outpatients with severe childhood trauma. Furthermore, early maladaptive schemas related to defectiveness, failure, and negativity had a mediating role in the relationship between severe childhood trauma and ED symptom severity.ConclusionsThis exploratory study provides preliminary evidence about the importance of early maladaptive schemas in the relationship between trauma history and ED psychopathology. In addition, ED symptoms may represent a dysfunctional attempt to avoid unpleasant emotions associated with schema activation. The results support the need to consider early maladaptive schemas in the treatment of traumatized patients with ED symptoms. Study limitations, research and clinical implications are discussed.

Changes in physiological signal entropy in patients with obstructive sleep apnoea: a systematic review.

Background and Objective Obstructive sleep apnoea (OSA) affects an estimated 936 million people worldwide, yet only 15% receive a definitive diagnosis. Diagnosis of OSA poses challenges due to the dynamic nature of physiological signals such as oxygen saturation (SpO2) and heart rate variability (HRV). Linear analysis methods may not fully capture the irregularities present in these signals. The application of entropy of routine physiological signals offers a promising method to better measure variabilities in dynamic biological data. This review aims to explore entropy changes in physiological signals among individuals with OSA.&#xD;Methods Keyword and title searches were performed on Medline, Embase, Scopus, and CINAHL databases. Studies had to analyse physiological signals in OSA using entropy. Quality assessment used the Newcastle-Ottawa Scale. Evidence was qualitatively synthesized, considering entropy signals, entropy type, and time-series length.&#xD;Main results Twenty-two studies were included. Multiple physiological signals related to OSA, including SpO2, HRV, and the oxygen desaturation index (ODI), have been investigated using entropy. Results revealed a significant decrease in HRV entropy in those with OSA compared to control groups. Conversely, SpO2 and ODI entropy values were increased in OSA. Despite variations in entropy types, time scales, and data extraction devices, studies using receiver operating characteristic (ROC) curves demonstrated a high discriminative accuracy (>80% AUC) in distinguishing OSA patients from control groups. &#xD;Conclusions This review highlights the potential of SpO2 entropy analysis in developing new diagnostic indices for patients with OSA. Further investigation is needed before applying this technique clinically.&#xD;&#xD.

The complete anatomy of the azygos vein: a meta-analysis with clinical implications.

The azygos vein (AV) plays a crucial role in the mediastinal region, exhibiting considerable variability in its anatomy and relationship with surrounding structures. This study aims to assess the morphometry and anatomy of the AV through a comprehensive meta-analysis of studies reporting extractable data on this vessel. Major online medical databases such as PubMed, Scopus, ScienceDirect, Web of Science, SciELO, BIOSIS, Current Content Connect, Korean Journal Database and Wiley online library were searched to gather all relevant studies regarding the anatomical characteristics of the AV. The results of the present meta-analysis comprised 40 studies, categorized into eight groups for data analysis. The mean AV diameter at its origin was set at 3.86 mm (SE = 0.84). The most prevalent was type IIB, with a prevalence of 40.23% (95% CI: 29.06-51.92%). The pooled prevalence of the right subcostal and right ascending lumbar veins forming the AV was 73.82% (95% CI: 55.77-88.67%). The AV exhibits a high degree of variability regarding its origin, trajectory, and connections with the hemiazygos system. The most prevalent type of AV, according to the Anson and McVay classification, was Type II (transitional type). Moreover, the vein was found to be formed by the right subcostal and the right ascending lumbar veins in the majority of the cases. This is the most comprehensive and current assessment of AV morphometry and anatomy to date. The findings are a valuable resource for physicians, especially surgeons performing various procedures in the mediastinum.

A systematic review of post-stroke fatigue measurement scale based on COSMIN guidelines

ObjectiveThis study aimed to evaluate the methodological quality and measurement attribute quality of the post-stroke fatigue measurement scale, so as to provide some basis for the clinical application and promotion of related scales.MethodsThe Chinese National Knowledge Infrastructure, the Wanfang Data Knowledge Service Platform, the China Science and Technology Journal Database, the Chinese Medical Journal Full-text Database, the Chinese Biology Medicine, PubMed, Embase, Medline, the Cochrane Library, the Web of Science, CINAHL, and PsycINFO databases were searched for literature on the post-stroke fatigue measurement scale up to June 2022. Literature screening and data extraction were carried out independently by two researchers, and in the case of disagreement, discussions were held with a third investigator to reach an agreement, and the COSMIN checklist and criteria were used to systematically evaluate the attributes of the measurement scale.ResultsA total of 17 studies were included, involving 10 post-stroke fatigue measurement scales. The content validity of FSS-7, FACIT-F, NRS-FRS, and MFI-20 was “not mentioned,” and the remaining scales were “uncertain.” In terms of construct validity, MFS was “adequate”; FSS-7, FACIT-F, and NRS-FRS were “not mentioned”; and the remaining scales were “uncertain.” In terms of internal consistency, NRS-FRS was “not mentioned”; FSS and MFS were “adequate”; and the remaining scales were “uncertain.” In terms of hypothesis testing, CIS and FACIT-F were “not mentioned,” NRS-FRS was “adequate,” and the remaining scales were “uncertain.” The stability of FSS-7, CIS, FACIT-F, and MFI-20 was “not mentioned,” and the remaining scales were “adequate.” The cross-cultural validity of FSS-7 was “adequate,” and the remaining scales were “not mentioned.” All 10 scales were given a recommendation grade of “B”.ConclusionFor the time being, the FSS can be recommended to measure post-stroke fatigue, but it still needs to be tested for more relevant measurement properties in order to gain more support from high-quality evidence. For a more comprehensive assessment of post-stroke fatigue, the FIS, FAS, and NFI-stroke should perhaps be considered, as the FSS is a one-dimensional scale that can only measure physical fatigue in patients; however, these scales also need to be tested for more relevant measurement properties to verify their clinical applicability.