Polysiloxane in the Biomedical Field: Bibliometric and Visual Analysis.

Polysiloxane is widely used in biomedical applications because of its good biocompatibility and excellent micro and nano-scale processability. Using PubMed and Citex's data analysis platform, this paper examines polysiloxane research and compares its development history from 2002-01 to 2021-12. Research hotspots, keyword analysis, and the number of papers published on polysiloxane in biomedicine are used in this study to analyze and discuss the current status of polysiloxane research in biomedicine. Over the last twenty years, there has been a significant surge in the number of publications related to the use of polysiloxane in biomedicine. This trend highlights the growing intersection and collaboration between the fields of polymeric material science and biomedical disciplines. Therefore, statistics about the number of papers on polysiloxane and the frequency of hot words are valuable resources for biomedical research and development.

MedCPT: Contrastive Pre-trained Transformers with large-scale PubMed search logs for zero-shot biomedical information retrieval.

MOTIVATION: Information retrieval (IR) is essential in biomedical knowledge acquisition and clinical decision support. While recent progress has shown that language model encoders perform better semantic retrieval, training such models requires abundant query-article annotations that are difficult to obtain in biomedicine. As a result, most biomedical IR systems only conduct lexical matching. In response, we introduce MedCPT, a first-of-its-kind Contrastively Pre-trained Transformer model for zero-shot semantic IR in biomedicine. RESULTS: To train MedCPT, we collected an unprecedented scale of 255 million user click logs from PubMed. With such data, we use contrastive learning to train a pair of closely integrated retriever and re-ranker. Experimental results show that MedCPT sets new state-of-the-art performance on six biomedical IR tasks, outperforming various baselines including much larger models, such as GPT-3-sized cpt-text-XL. In addition, MedCPT also generates better biomedical article and sentence representations for semantic evaluations. As such, MedCPT can be readily applied to various real-world biomedical IR tasks. AVAILABILITY AND IMPLEMENTATION: The MedCPT code and model are available at https://github.com/ncbi/MedCPT.

Serial KinderMiner (SKiM) discovers and annotates biomedical knowledge using co-occurrence and transformer models.

BACKGROUND: The PubMed archive contains more than 34 million articles; consequently, it is becoming increasingly difficult for a biomedical researcher to keep up-to-date with different knowledge domains. Computationally efficient and interpretable tools are needed to help researchers find and understand associations between biomedical concepts. The goal of literature-based discovery (LBD) is to connect concepts in isolated literature domains that would normally go undiscovered. This usually takes the form of an A-B-C relationship, where A and C terms are linked through a B term intermediate. Here we describe Serial KinderMiner (SKiM), an LBD algorithm for finding statistically significant links between an A term and one or more C terms through some B term intermediate(s). The development of SKiM is motivated by the observation that there are only a few LBD tools that provide a functional web interface, and that the available tools are limited in one or more of the following ways: (1) they identify a relationship but not the type of relationship, (2) they do not allow the user to provide their own lists of B or C terms, hindering flexibility, (3) they do not allow for querying thousands of C terms (which is crucial if, for instance, the user wants to query connections between a disease and the thousands of available drugs), or (4) they are specific for a particular biomedical domain (such as cancer). We provide an open-source tool and web interface that improves on all of these issues. RESULTS: We demonstrate SKiM's ability to discover useful A-B-C linkages in three control experiments: classic LBD discoveries, drug repurposing, and finding associations related to cancer. Furthermore, we supplement SKiM with a knowledge graph built with transformer machine-learning models to aid in interpreting the relationships between terms found by SKiM. Finally, we provide a simple and intuitive open-source web interface ( https://skim.morgridge.org ) with comprehensive lists of drugs, diseases, phenotypes, and symptoms so that anyone can easily perform SKiM searches. CONCLUSIONS: SKiM is a simple algorithm that can perform LBD searches to discover relationships between arbitrary user-defined concepts. SKiM is generalized for any domain, can perform searches with many thousands of C term concepts, and moves beyond the simple identification of an existence of a relationship; many relationships are given relationship type labels from our knowledge graph.

PEDL+: protein-centered relation extraction from PubMed at your fingertip.

SUMMARY: Relation extraction (RE) from large text collections is an important tool for database curation, pathway reconstruction, or functional omics data analysis. In practice, RE often is part of a complex data analysis pipeline requiring specific adaptations like restricting the types of relations or the set of proteins to be considered. However, current systems are either non-programmable web sites or research code with fixed functionality. We present PEDL+, a user-friendly tool for extracting protein-protein and protein-chemical associations from PubMed articles. PEDL+ combines state-of-the-art NLP technology with adaptable ranking and filtering options and can easily be integrated into analysis pipelines. We evaluated PEDL+ in two pathway curation projects and found that 59% to 80% of its extractions were helpful. AVAILABILITY AND IMPLEMENTATION: PEDL+ is freely available at https://github.com/leonweber/pedl.

Notes on the data quality of bibliographic records from the MEDLINE database.

The US National Library of Medicine has created and maintained the PubMed® database, a collection of over 33.8 million records that contain citations and abstracts from the biomedical and life sciences literature. This database is an important resource for researchers and information service providers alike. As part of our work related to the creation of an author graph for coronaviruses, we encountered several data quality issues with records from a curated subset of the PubMed database called MEDLINE. We provide a data quality assessment for records selected from the MEDLINE database and report on several issues ranging from parsing issues (e.g. character encodings and schema definition weaknesses) to low scores for identifiers against several data quality metrics (e.g. completeness, validity and uniqueness). Database URL  https://pubmed.ncbi.nlm.nih.gov.

Lymphatic filariasis in Zambia: A scoping review protocol.

BACKGROUND: Zambia is among the countries making major progress in limiting cases of the neglected tropical disease lymphatic filariasis on the path to reaching global elimination targets. For this trend to continue, it is essential for strategies and policies targeting the disease in Zambia to be based on the most recent and relevant literature. The scope of research on lymphatic filariasis in the Zambian context is currently poorly understood. Therefore, this study describes a scoping review protocol which will be used to analyze the body of literature on lymphatic filariasis in Zambia. METHODS: The scoping review protocol was developed following the PRISMA reporting guidelines for Scoping Reviews (PRISMA-ScR) and the JBI Scoping Review Methodology Group's guidance on conducting scoping reviews. In consultation with a research librarian, these guidelines will be applied to a literature search of articles from peer-reviewed journals, or government and international regulatory bodies using PubMed, Embase, Web of Science, Cochrane CENTRAL, WHO ICTRP, Pan African Clinical Trials Registry, and ClinicalTrials.gov. Each record will be screened at the abstract and full-text level by two independent reviewers, and results reported via summary statistics. DISCUSSION: Understanding the current state of research on lymphatic filariasis in Zambia will identify major knowledge and intervention gaps in this context, and serve as a source of information for surrounding countries in the region. As the disease prevalence drops, efforts for elimination will require carefully targeted strategies which can be informed from the literature identified in this protocol.

Impact of the COVID-19 pandemic on the conduct of non-COVID-19 clinical trials: protocol for a scoping review.

INTRODUCTION: The COVID-19 pandemic posed a detrimental impact on the conduct of non-COVID-19 related clinical trials, raising concerns about the completeness of these studies and waste of resources. While several measures and strategies have been suggested to address these issues, a thorough and timely summarisation is still lacking. Therefore, our aim is to conduct a scoping review to summarise the negative effects of COVID-19 on non-COVID-19 clinical trials, outline the effective measures for mitigating these impacts, and provide insights for future pandemics. METHODS AND ANALYSIS: This scoping review will be conducted in line with the Joanna Briggs Institute's scoping review methodological framework, and the results will be reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. Relevant articles will be searched in PubMed, Embase and the Cochrane Library from 1 December 2019 to 1 July 2023. We will also screen the reference lists of the included studies manually to identify more potentially relevant articles. Articles focusing on the adverse impacts of COVID-19 on non-COVID-19 clinical trials and effective measures for mitigating them will be included. Two investigators will perform study selection and data extraction independently. A narrative summary as well as a descriptive analysis of the basic characteristics and key results of the included studies will be performed. ETHICS AND DISSEMINATION: Ethical approval is not required, as this scoping review will be completed based only on published literature. The findings of this scoping review will be disseminated through a peer-reviewed publication and/or conference presentations.

Healthcare providers' understanding of data displays of clinical trial information: a scoping review of the literature.

BACKGROUND: Healthcare providers often encounter clinical trial results in the form of visual data displays. Although there is a robust literature on patient responses to data displays in medical settings, less is known about how providers comprehend and apply this information. Our study provides a scoping review of the literature on providers' reactions to and perceptions of data displays. METHODS: We searched article databases (PubMed, PsycINFO, Web of Science, Cumulative Index to Nursing and Allied Health Literature, the Cochrane Library) supplemented by handsearching. Eligible articles were published in English from 1990 to 2020. RESULTS: We identified 15 articles meeting our criteria. Studies with physicians were more prevalent (13/15) than those with other healthcare providers (6/15). Commonly assessed outcomes included objective (10/15) and subjective comprehension (4/15), preference for certain data display formats (6/15), and hypothetical decision-making around prescribing (4/15). In studies that assessed comprehension of clinical trial concepts, scores were average or below what would be considered mastery of the information. Data display formats that were preferred did not always correlate with better comprehension of information; lesser preferred formats (e.g. icon array) often resulted in better comprehension. CONCLUSION: Our findings suggest that healthcare providers may not accurately interpret complex types of data displays, and it is unknown if such limitations affect actual decision-making. Interventions are needed to enhance comprehension of complex data displays within the context of prescription drug professional promotion.

Harmonizing Definitions for Progression Independent of Relapse Activity in Multiple Sclerosis: A Systematic Review.

Importance: Emerging evidence suggests that progression independent of relapse activity (PIRA) is a substantial contributor to long-term disability accumulation in relapsing-remitting multiple sclerosis (RRMS). To date, there is no uniform agreed-upon definition of PIRA, limiting the comparability of published studies. Objective: To summarize the current evidence about PIRA based on a systematic review, to discuss the various terminologies used in the context of PIRA, and to propose a harmonized definition for PIRA for use in clinical practice and future trials. Evidence Review: A literature search was conducted using the search terms multiple sclerosis, PIRA, progression independent of relapse activity, silent progression, and progression unrelated to relapses in PubMed, Embase, Cochrane, and Web of Science, published between January 1990 and December 2022. Findings: Of 119 identified single records, 48 eligible studies were analyzed. PIRA was reported to occur in roughly 5% of all patients with RRMS per annum, causing at least 50% of all disability accrual events in typical RRMS. The proportion of PIRA vs relapse-associated worsening increased with age, longer disease duration, and, despite lower absolute event numbers, potent suppression of relapses by highly effective disease-modifying therapy. However, different studies used various definitions of PIRA, rendering the comparability of studies difficult. Conclusion and Relevance: PIRA is the most frequent manifestation of disability accumulation across the full spectrum of traditional MS phenotypes, including clinically isolated syndrome and early RRMS. The harmonized definition suggested here may improve the comparability of results in current and future cohorts and data sets.

The Value of Applying Machine Learning in Predicting the Time of Symptom Onset in Stroke Patients: Systematic Review and Meta-Analysis.

BACKGROUND: Machine learning is a potentially effective method for identifying and predicting the time of the onset of stroke. However, the value of applying machine learning in this field remains controversial and debatable. OBJECTIVE: We aimed to assess the value of applying machine learning in predicting the time of stroke onset. METHODS: PubMed, Web of Science, Embase, and Cochrane were comprehensively searched. The C index and sensitivity with 95% CI were used as effect sizes. The risk of bias was evaluated using PROBAST (Prediction Model Risk of Bias Assessment Tool), and meta-analysis was conducted using R (version 4.2.0; R Core Team). RESULTS: Thirteen eligible studies were included in the meta-analysis involving 55 machine learning models with 41 models in the training set and 14 in the validation set. The overall C index was 0.800 (95% CI 0.773-0.826) in the training set and 0.781 (95% CI 0.709-0.852) in the validation set. The sensitivity and specificity were 0.76 (95% CI 0.73-0.80) and 0.79 (95% CI 0.74-0.82) in the training set and 0.81 (95% CI 0.68-0.90) and 0.83 (95% CI 0.73-0.89) in the validation set, respectively. Subgroup analysis revealed that the accuracy of machine learning in predicting the time of stroke onset within 4.5 hours was optimal (training: 0.80, 95% CI 0.77-0.83; validation: 0.79, 95% CI 0.71-0.86). CONCLUSIONS: Machine learning has ideal performance in identifying the time of stroke onset. More reasonable image segmentation and texture extraction methods in radiomics should be used to promote the value of applying machine learning in diverse ethnic backgrounds. TRIAL REGISTRATION: PROSPERO CRD42022358898; https://www.crd.york.ac.uk/Prospero/display_record.php?RecordID=358898.

Causes for Retraction in the Biomedical Literature: A Systematic Review of Studies of Retraction Notices.

BACKGROUND: Many studies have evaluated the prevalence of different reasons for retraction in samples of retraction notices. We aimed to perform a systematic review of such empirical studies of retraction causes. METHODS: The PubMed/MEDLINE database and the Embase database were searched in June 2023. Eligible studies were those containing sufficient data on the reasons for retraction across samples of examined retracted notices. RESULTS: A 11,181 potentially eligible items were identified, and 43 studies of retractions were included in this systematic review. Studies limited to retraction notices of a specific subspecialty or country, journal/publication type are emerging since 2015. We noticed that the reasons for retraction are becoming more specific and more diverse. In a meta-analysis of 17 studies focused on different subspecialties, misconduct was responsible for 60% (95% confidence interval [CI], 53-67%) of all retractions while error and publication issues contributed to 17% (95% CI, 12-22%) and 9% (95% CI, 6-13%), respectively. The end year of the retraction period in all included studies and the proportion of misconduct presented a weak positive association (coefficient = 1.3% per year, P = 0.002). CONCLUSION: Misconduct seems to be the most frequently recorded reason for retraction across empirical analyses of retraction notices, but other reasons are not negligible. Greater specificity of causes and standardization is needed in retraction notices.

Bibliometric analysis of the top 100 most-cited articles on video laryngoscope from 2011 to 2022.

BACKGROUND: The popularity of video laryngoscope (VL) has increased rapidly since its introduction in the late 1990s. However, a comprehensive overview of VLs evolution and impact is lacking, which merits further investigation. METHODS: We conducted a bibliometric analysis of the top 100 most-cited articles on VL (Top100VL) published between 2011 and 2022 and retrieved from the PubMed and Web of Science databases. Using social network analysis, we identified the subject terms and subject categories of the Top100VL and compared their citation counts across individual subject terms and categories via one-way analysis of variance (ANOVA). Then, we employed the Medical Query Expert software to assess the practical applications of VL. RESULTS: The Top100VL included 65 subjects across nine subject categories, with "anesthesiology" being the most frequently represented category and "coronavirus infections" with the highest impact factor. The citation counts inferred by subject categories significantly correlated with the actual citation counts (Pearson's R = 0.4; p < 0.01). For enhanced visualization, we employed network visualization and Sankey diagrams to display the article characteristics. We highlighted the clinical advantages of VL, including its usefulness in difficult intubations, wider angle of view, and management of pediatric emergencies, as well as its teaching benefits, such as facilitating training programs and a lower learning curve. CONCLUSION: By using bibliometric analysis and natural language processing methods, we effectively summarized the applications of VL in both clinical and teaching settings, particularly in reducing the risk of cross-infection during the Coronavirus Disease 2019 pandemic.

Structural and pathophysiological muscle changes up to one year after post-stroke hemiplegia: a systematic review.

INTRODUCTION: Muscle changes after stroke cannot be explained solely on the basis of corticospinal bundle damage. Muscle-specific changes contribute to limited functional recovery but have been poorly characterized. EVIDENCE ACQUISITION: We conducted a systematic review of muscular changes occurring at the histological, neuromuscular and functional levels during the first year after the onset of post-stroke hemiplegia. A literature search was performed on PubMed, Embase and CINHAL databases up to November 2022 using a keyword combination comprising cerebral stroke, hemiplegic, atrophy, muscle structure, paresis, skeletal muscle fiber type, motor unit, oxidative stress, strength, motor control. EVIDENCE SYNTHESIS: Twenty-seven trial reports were included in the review, out of 12,798 articles screened. Structural modifications described on the paretic side include atrophy, transformation of type II fibers into type I fibers, decrease in fiber diameter and apparent myofilament disorganization from the first week post-stroke up to the fourth month. Reported biochemical changes comprise the abnormal presence of lipid droplets and glycogen granules in the subsarcolemmal region during the first month post-stroke. At the neurophysiological level, studies indicate an early decrease in the number and activity of motor units, correlated with the degree of motor impairment. All these modifications were present to a lesser degree on the non-paretic side. Although only sparse data concerning the subacute stage are available, these changes seem to appear during the first two weeks post-stroke and continue up to the third or fourth month. CONCLUSIONS: Considering these early pathophysiological changes on both the paretic and non-paretic sides, it seems crucial to promptly stimulate central and also peripheral muscular activation after stroke through specific rehabilitation programs focused on the maintenance of muscle capacities associated with neurological recovery or plasticity.

The use of heart rate variability in esports: A systematic review.

Heart rate variability (HRV) is a psychophysiological measure of particular interest in esports due to its potential to monitor player self-regulation. This study aimed to systematically review the utilisation of HRV in esports. Consideration was given to the methodological and theoretical underpinnings of previous works to provide recommendations for future research. The protocol was made available on the Open Science Framework. Inclusion criteria were empirical studies, examining HRV in esports, using esports players, published in English. Exclusion criteria were non-peer-reviewed studies, populations with pre-existing clinical illness other than Internet Gaming Disorder (IGD), opinion pieces or review papers. In November 2022 a search of Web of Science, PubMed, and EBSCOHost identified seven studies using HRV in esports. Risk of bias was assessed using the Mixed Methods Appraisal Tool. Narrative review identified two primary uses of HRV in esports; stress response and IGD. A lack of theoretical and methodological underpinning was identified as a major limitation of current literature. Further investigation is necessary before making recommendations regarding the use of HRV in esports. Future research should employ sound theoretical underpinning such as the use of vagally mediated HRV and the robust application of supporting methodological guidelines when investigating HRV in esports.

Adherence to the Mediterranean Diet and Risk of Gastric Cancer: A Systematic Review and Meta-Analysis.

Available results on the association between the Mediterranean diet (MD) and gastric cancer (GC) incidence are controversial. The present study aimed to determine the correlation between different subtypes of GC and MD adherence. This meta-analysis was registered on PROSPERO (CRD42021284432). We searched Embase, PubMed, Cochrane Library, and Web of Science from inception through 22 April 2023 to retrieve relevant studies. A random-effects model was used to pool odds ratios (ORs) with 95% confidence intervals (CIs). Eleven studies were included in the meta-analysis. Pooled analyses revealed that adherence to the MD was inversely associated with GC risk (ORcc, 0.43; 95% CI, 0.29 to 0.63; ORcoh, 0.84; 95% CI, 0.77 to 0.92). Higher MD adherence was significantly associated with a reduced GC risk in male (ORcc, 0.78; 95% CI, 0.65 to 0.93; ORcoh, 0.81; 95% CI, 0.65 to 1.01), but not in female (ORcc, 0.83; 95% CI, 0.68 to 1.01; ORcoh, 1.04; 95% CI, 0.82 to 1.31). Furthermore, adherence to the MD possibly decreased the risk of gastric cardia adenocarcinoma (GCA) (ORcc, 0.64; 95% CI, 0.49 to 0.83; ORcoh, 0.88; 95% CI, 0.76 to 1.02) and gastric non-cardia adenocarcinoma (GNCA) (ORcc, 0.68; 95% CI, 0.59 to 0.79; ORcoh, 0.85; 95% CI, 0.78 to 0.94). Our results indicate that adherence to the MD reduces the risk of GC and its subtypes.

Objective and subjective assessment of Dupuytren's contracture.

This paper describes the evaluation options of Dupuytren's contracture by subjective and objective methods. There are various classification schemes named after their authors, including graphical representation for objective evaluation of the disease. Subjective assessment was performed in the form of a questionnaire for patients. The QuickDASH with a small specification for Dupuytren's contracture is the most commonly used questionnaire. The Southampton Dupuytren's Scoring Scheme questionnaire appears to be a higher specification. The classifications allow evaluation of treatment success to determine prognosis of the disease. The analysis of articles is based on PubMed search from the years 1967-2022, with 28 relevant articles were retrieved. Based on this analysis, the Tubiana classification appears to be the most appropriate one for patients with Dupuytren's contracture. Of patient questionnaires, the Southampton Dupuytren's Scoring Scheme meets these parameters.

Dosimetric performance evaluation of the Halcyon treatment platform for stereotactic radiotherapy: A pooled study.

With the advancement of radiotherapy equipment, stereotactic radiotherapy (SRT) has been increasingly used. Among the many radiotherapy devices, Halcyon shows promising applications. This article reviews the dosimetric performance such as plan quality, plan complexity, and gamma passing rates of SRT plans with Halcyon to determine the effectiveness and safety of Halcyon SRT plans. This article retrieved the last 5 years of PubMed studies on the effectiveness and safety of the Halcyon SRT plans. Two authors independently reviewed the titles and abstracts to decide whether to include the studies. A search was conducted to identify publications relevant to evaluating the dosimetric performance of SRT plans on Halcyon using the key strings Halcyon, stereotactic radiosurgery, SRT, stereotactic body radiotherapy, and stereotactic ablative radiotherapy. A total of 18 eligible publications were retrieved. Compared to SRT plans on the TrueBeam, the Halcyon has advantages in terms of plan quality, plan complexity, and gamma passing rates. The high treatment speed of SRT plans on the Halcyon is impressive, while the results of its plan evaluation are also encouraging. As a result, Halcyon offers a new option for busy radiotherapy units while significantly improving patient comfort in treatment. For more accurate results, additional relevant publications will need to be followed up in subsequent studies.

Relationship between daytime napping with the occurrence and development of diabetes: a systematic review and meta-analysis.

OBJECTIVE: To determine the relationship of napping with incident diabetes risk and glycaemic control in people with diabetes. DESIGN: Systematic review and meta-analysis. DATA SOURCES: MEDLINE (PubMed), EMBASE, Web of Science and the Cochrane Library were searched for studies published from database inception to 9 May 2023. ELIGIBILITY CRITERIA: Observational studies reporting the relationship of napping with diabetes or glycaemic control in patients with diabetes in adult populations were included. DATA EXTRACTION AND SYNTHESIS: Two reviewers independently screened the literature, extracted data and assessed the quality of the included studies. The results were reported as ORs and 95% CIs, which were pooled by using fixed and random effects models, and subgroup analyses were performed. The Grading of Recommendations Assessment, Development and Evaluation method was used to assess the quality of the evidence. RESULTS: Forty studies were included in our review. Habitual napping was associated with an increased diabetes risk (OR 1.20, 95% CI 1.14 to 1.27) and poor glycaemic control in patients with diabetes (OR 2.05, 95% CI 1.55 to 2.73). Nap durations less than 30 min were unrelated to diabetes (OR 1.05, 95% CI 0.97 to 1.14). Nap durations of 30-60 min were associated with diabetes risk (OR 1.09, 95% CI 1.02 to 1.17), but there were differences in the subgroup analysis results. Nap durations of more than 60 min significantly increased the risk of diabetes (OR 1.31, 95% CI 1.20 to 1.44). CONCLUSIONS: Napping is associated with increased diabetes risk and poor glycaemic control, and future research will need to confirm whether there are sex and regional differences. Nap durations of more than 60 min significantly increases the risk of diabetes, and the relationship between nap duration and glycaemic control in patients with diabetes needs to be further explored in the future. PROSPERO REGISTRATION NUMBER: CRD42021292103.

Callous and Unemotional Traits as Precursors to the Development of Female Psychopathy.

OBJECTIVE: Conduct a systematic review concerning the literature that reflects whether the callous and unemotional traits present in childhood and/or adolescence are precursors in the development of female psychopathy in adulthood. MATERIALS AND METHODS: A systematic review involved consulting three databases-EBSCO, the Web of Science, and PubMed-for peer-reviewed and quantitative studies within the period 2000-2023. Nine articles with quality of three and above were included. RESULTS: The presence of callous and unemotional traits designates a group of youth that show characteristics associated with psychopathy, specifically when predicting a more severe and chronic pattern of antisocial behaviour. Children with high rates of callous and unemotional traits, who show symptoms of attention deficit hyperactivity disorder in combination with severe conduct problems, are most likely to show features associated with psychopathy. The multidimensional psychopathy construct is considered a better predictor of future and stable antisocial behaviour than the callous and unemotional traits alone model. CONCLUSIONS: According to the studies selected, the callous and unemotional traits in childhood seem to be precursors of female psychopathy in adulthood, but only because of the way they seem to enhance conduct problems, disruptive behaviour disorders, and, as a possible outcome, delinquency and antisocial traits, which may be precursors of future psychopathy.

Effectiveness of creative story therapy for dementia: a systematic review and meta-analysis.

OBJECTIVE: To conduct a meta-analysis of the effectiveness of creative story therapy versus routine nursing alone for the treatment of dementia. METHODS: We manually searched PubMed, Embase, Cochrane Library, Web of Science, China National Knowledge Infrastructure (CNKI), China VIP Database (VIP), China Biomedical Literature Database (CBM), and Wanfang Data up to May 2023. Randomized controlled trials (RCTs) of creative story therapy combined with routine nursing versus routine nursing for the treatment of dementia were included. RESULTS: A total of 597 participants were enrolled in the 9 RCTs. Among them, 296 were in the creative story therapy group, and 301 were in the routine nursing group. We found statistically significant effects of creative story therapy combined with routine nursing on cognitive function [standardized mean difference (SMD) = 0.99, 95% CI 0.57, 1.41, P < 0.00001], CSDD score [mean difference (MD) = - 1.71, 95% CI - 3.27, - 0.14, P < 0.00001], quality of life [SMD = 0.97, 95% CI 0.04, 1.90, P = 0.04], and social communication [MD = 0.46, 95% CI 0.17, 0.74, P < 0.00001] between the creative story therapy group and routine nursing groups; no significant difference in change in basic needs communication [MD = 0.09, 95% CI - 0.58, 0.76, P < 0.00001]. CONCLUSION: This meta-analysis shows that creative story therapy combined with routine nursing has significant effectiveness in improving cognitive function and depression in people with dementia. More high-quality RCTs are required to validate these results.