Evidence-based Classification Research Articles

Cybergrooming Victimization Among Young People: A Systematic Review of Prevalence Rates, Risk Factors, and Outcomes

AbstractAdolescence is marked by a unique blend of factors, including adolescents’ exploration of their emerging sexuality and growing engagement with digital media. As adolescents increasingly navigate online spaces, cybergrooming victimization has emerged as a significant concern for the development and protection of young people. Yet, there is a lack of systematic analyses of the current state of research. To this end, the present systematic review aimed to integrate existing quantitative research on prevalence rates, risk factors, and outcomes of cybergrooming victimization, informed by an adaptation of the General Aggression Model. Studies providing self-reported data on cybergrooming victimization of people between the ages of 5 and 21 were included. A total of 34 studies met all inclusion criteria, with most focusing on adolescence. Reported prevalence rates were characterized by strong heterogeneity, which could largely be attributed to the underlying methodology. Overall, the included studies showed that at least one in ten young people experiences cybergrooming victimization. Findings further indicated that various factors, for example, being a girl, being older, engaging in risky behavior, displaying problematic Internet use, reporting lower mental well-being, and experiencing other types of victimization, are positively associated with cybergrooming victimization. However, most studies’ cross-sectional designs did not allow for an evidence-based classification into risk factors, outcomes, and co-occurrences, so findings were embedded in the proposed model based on theoretical considerations. In addition, there is a noted lack of studies that include diverse samples, particularly younger children, LGBTQIA+ youth, and young people with special educational needs. These findings emphasize that cybergrooming victimization is a prevalent phenomenon among young people that requires prevention and victim support addressing multiple domains.

Adding Evidence to an Evidence-Based Classification for Recurrent Weight Gain after Bariatric and Metabolic Surgery from a Norwegian National Registry.

In 2023, the first evidence-based classification for recurrent weight gain (RWG) after metabolic and bariatric surgery was introduced. It uses early and late follow-up weight loss benchmarks based on standard deviations (SD) of percentage total weight loss(%TWL) results from the large Dutch Audit for Treatment of Obesity (DATO) registry (n > 18,000). We aimed to validate this classification and confirm its clinical relevance with an external cohort. The DATO-based classification defines all RWG as grade 1, as long as weight-loss does not drop below DATO's late-follow-up minus one SD benchmark (20%TWL). Grade 3 represents clear outliers whose RWG evolves below DATO's late follow-up minus two SD benchmark (10%TWL), with grade 2 in-between. Grades 2a/3a represent initial suboptimal clinical response, with nadir %TWL never exceeding DATO's early-follow-up minus one SD benchmark (25%TWL). Grades 2b/3b represent late clinical deterioration from nadir weight loss ≥ 25%TWL. We compared baseline characteristics, SD based benchmarks, RWG and comorbidities from the Scandinavian Obesity Surgery Registry Norway (SOReg-N) with these DATO-derived grades. The SOReg-N population (n = 3064) was comparable at baseline, with more sleeve gastrectomies (54% versus DATO 22.5%). The SD benchmarks were at early follow-up minus one SD 25.8%TWL, at 5years minus one SD/minus two-SD 17.2%TWL/7.0%TWL (DATO 25%TWL/20%TWL/10%TWL). Percentage of patients and amount of RWG were similar to DATO. In line with DATO, comorbidities were predominant in grades 2a/3a, with least improvement in grade 3a. Also, grade 3b showed more favorable characteristics at baseline. The SOReg-N cohort confirmed the weight-loss benchmarks defining the DATO-derived grades, the distribution of patients and their RWG across the grades, and correlations between grades and comorbidities. Male gender, older age and comorbidities were predominant among patients with initial suboptimal clinical response (RWG grades 2a/3a), but not for late clinical deterioration (RWG grades 2b/3b). This classification can be used for populations with diverse weight loss trajectories and offers an evidence-based guide for clinical decision-making and standardization.

The Para Judo competitions: reflections and possible strategies to improve accessibility in official tournaments

ABSTRACT This study provides a comprehensive analysis focusing on three critical facets: (1) evidence-based classification in Paralympic sports, with particular attention to recent changes in Para judo; (2) the rules and structure governing judo competitions; and (3) proposals aimed at enhancing the competitive environment, specifically emphasizing accessibility for judo athletes with visual impairments. We meticulously examine the current competition framework's effectiveness in promoting inclusive participation and equitable opportunities for athletes with visual impairment. Furthermore, innovative recommendations are proposed to address accessibility challenges within the competitive landscape, drawing insights from accessibility perspectives. Our study contributes significantly to the discourse surrounding judo competition dynamics by addressing these focal points. It advocates for meaningful enhancements prioritizing inclusivity and equal access for all athletes, irrespective of visual impairment. These proposals aim to foster a competitive environment that accommodates diverse needs and ensures that judo remains accessible and welcoming to athletes with visual impairment. Ultimately, our study seeks to advance the broader goal of creating a more inclusive and equitable sports environment for all participants.

Cardiomyopathy Classification System

Cardiomyopathy encompasses various types and refers to a condition affecting the heart muscle, which impairs the organ's normal pumping function. When diagnosing cardiomyopathy, it is crucial to identify the specific type of the disease. This paper outlines the benefits and implications of a new classification system for cardiomyopathy, highlighting its potential to improve diagnosis and treatment, as well as its impact on research and clinical trials. The methodology section details the research design, data collection methods, and sample selection process. The data analysis section explains the techniques used for data processing and statistical analysis. Finally, the evaluation and validation section describes the expert review process and the testing andvalidation methods applied. This research adopts an interpretive paradigm, which emphasizes the importance of individual experience in understanding social realities. The statistical analysis assessed the diagnostic capability of genetic testing across genders using ROC curves, revealing strong performance for both males (AUC=.856, p < .001) and females (AUC=.835, p < .001), surpassing pure chance. A one-way ANOVA test was conducted to examine age differences among four genetic patient groups. The assumption of homogeneity of variance was satisfied, as indicated by Levene's test for equality of variances, F(3,156) = 1.277, p > .05. Significant age differences were found among the groups, F(3,156) = 5.537, p < .005. An evidence-based classification system would enhance diagnostic accuracy, treatment efficacy, and research quality, thereby improving outcomes for patients with cardiomyopathy.

Update on Salivary Gland Fine-Needle Aspiration and the Milan System for Reporting Salivary Gland Cytopathology.

Fine-needle aspiration (FNA) is a well-established procedure for the diagnosis and management of salivary gland lesions, despite challenges imposed by salivary gland tumor diversity, complexity, and cytomorphologic overlap. Until recently, the reporting of salivary gland FNA specimens was inconsistent among different institutions throughout the world, leading to diagnostic confusion among pathologists and clinicians. In 2015, an international group of pathologists initiated the development of an evidence-based tiered classification system for reporting salivary gland FNA specimens, the Milan System for Reporting Salivary Gland Cytopathology (MSRSGC). The MSRSGC consists of 6 diagnostic categories, which incorporate the morphologic heterogeneity and overlap among various nonneoplastic, benign, and malignant lesions of the salivary glands. In addition, each MSRSGC diagnostic category is associated with a risk of malignancy and management recommendations. To review the current status of salivary gland FNA, core needle biopsies, ancillary studies, and the beneficial role of the MSRSGC in providing a framework for reporting salivary gland lesions and guiding clinical management. Literature review and personal institutional experience. The main goal of the MSRSGC is to improve communication between cytopathologists and treating clinicians, while also facilitating cytologic-histologic correlation, quality improvement, and research. Since its implementation, the MSRSGC has gained international acceptance as a tool to improve reporting standards and consistency in this complex diagnostic area, and it has been endorsed by the 2021 American Society of Clinical Oncology management guidelines for salivary gland cancer. The large amount of data from published studies using MSRSGC served as a basis for the recent update of the MSRSGC.

A review of SaiLuoTong (MLC-SLT) development in vascular cognitive impairment and dementia.

The dementia epidemic, attributed to aging populations, represents a growing socio-economic burden. It is estimated that in 2019 about 55 million people worldwide were living with dementia. With many possible causes of dementia and the possibility of mixed dementia combining Alzheimer's disease (AD) and vascular dementia the question is whether diagnostic uncertainty exists or whether diagnostic constructs based on single etiologies are incorrect. Vascular Cognitive Impairment and Dementia (VCID) designates the extent of cognitive dysfunctions from the most benign state to that of dementia, of vascular origin. We reviewed epidemiological, pathophysiological and clinical data on VCID with a focus on VaD, as well as key data on the development of a new therapeutic solution, SaiLuoTong (MLC-SLT). From documentary research executed on different web sources (PubMed, Clintrials.gov, Z-library and Google), our initial selection for the short review of VCID and VaD was based on keywords contained in each paragraph subtitles of this article with exclusion of publications in a language other than English or published before 2010. For the review of SaiLuoTong development, there was just the language exclusion criterion. Sorted by relevance and publication date, 47 references were selected from 140 shortlisted for review. With new evidence-based classification systems, vascular cognitive impairment was proposed as umbrella term covering all forms of cognitive deficits related to vascular causes. The scope of application expanded with the VCID which includes VaD and mixed pathologies. No drugs are approved for the treatment of VaD by major Western regulatory agencies, while some traditional Chinese medicines are registered in China. VCID treatment should have a dual focus: managing the underlying cerebrovascular disease and dementia symptoms. This is the objective set for the development of the MLC-SLT, the essential data of which are reviewed in detail. To strengthen VCID and VaD research, consensus groups should attempt to consolidate scattered local research initiatives into coordinated international programs. In two VaD clinical trials, MLC-SLT improved cognitive symptoms and activities of daily living, with good safety and potential disease-modifying effect. In a placebo-controlled study in 325 patients with mild to moderate VaD and randomized according to a delayed-start design, MLC-SLT demonstrated significant improvement in memory tests and performance in executive function tasks, expanding its place in the management of VCID. At week 26, changes in VADAS-cog scores (SD) from baseline were 23.25 (0.45) for MLC-SLT 180mg bid), 23.05 (0.45) for MLC-SLT 120mg bid (both p < 0.0001), and 20.57 (0.45) for placebo (p = 0.15). At week 52, differences between both groups MLC-SLT and placebo were 2.67 and 2.48, respectively (p < 0.0001), without significant difference between MLC-SLT groups.

Vertical jump performance in athletes with cerebral palsy

The principal difference between an Olympic and a Paralympic sport is the classification structure of the sports in which the athlete competes. The Paralympic Classification System subsidizes such a structure. This study aimed to investigate possible height differences in six vertical jumps in Para athletics athletes with cerebral palsy from classes T35 to T38 to contribute to the Paralympic Classification System. They participated in this study, and forty-one athletes were divided into the experimental group (thirty-five with cerebral palsy T35= 6; T36= 10; T37 = 12; T38 = 7) and the Control Group. The athletes were evaluated using the OptoJump Next equipment (OJ). The protocol sequence of the Vertical Jump battery included squat jump, single left leg one jump, single right leg one jump, both leg seven jumps, single left leg seven jumps, and single right leg seven jumps. We found significant differences between all classes and the control group (p&lt;0.001). This study indicates that the battery of vertical jump tests not only identifies the athletes' eligibility but also helps to allocate different classes of athletes with cerebral palsy. To develop a technical assessment that contributes to implementing evidence to the Classification System of World Paralympic Athletics - WPA. Keywords: Para athletics; evidence-based classification, jump test, and cerebral palsy.

Expert Consensus on Classification and Performance in Paralympic Powerlifting: A Delphi Study.

In Paralympic sports, classification ensures fair competition by grouping athletes based on their impairments. The International Paralympic Committee has provided scientific principles to guide evidence-based classification procedures. In Paralympic Powerlifting, athletes compete in one class, divided by sex and bodyweight categories, overlooking impairment impact on performance. This study aimed to establish a consensus among international Paralympic powerlifting experts regarding classification and performance issues to guide future research. A two-round Delphi study was conducted involving 26 experts. The study sought to identify the adequacy of the current classification and competition systems, explore the impact of various impairments, and lay the initial groundwork for a performance determinants model. Experts agreed that existing classification and competition systems in Paralympic powerlifting do not align with Paralympic standards. Impairments from neurological conditions and those causing anthropometric changes were suggested to have opposing performance impacts. Initial directions for a performance determinants model were outlined, focusing on arm and bar kinematics, anthropometry, and body composition. This study underscores the need for comprehensive research in Paralympic powerlifting, revealing critical discrepancies between current classification system and Paralympic standards. Insights into the multifaceted relationship between impairments and performance are provided to shape the future of Paralympic powerlifting research.

A Novel Validated Real-World Dataset for the Diagnosis of Multiclass Serous Effusion Cytology according to the International System and Ground-Truth Validation Data

Introduction: The application of artificial intelligence (AI) algorithms in serous fluid cytology is lacking due to the deficiency in standardized publicly available datasets. Here, we develop a novel public serous effusion cytology dataset. Furthermore, we apply AI algorithms on it to test its diagnostic utility and safety in clinical practice. Methods: The work is divided into three phases. Phase 1 entails building the dataset based on the multitiered evidence-based classification system proposed by the International System (TIS) of serous fluid cytology along with ground-truth tissue diagnosis for malignancy. To ensure reliable results of future AI research on this dataset, we carefully consider all the steps of the preparation and staining from a real-world cytopathology perspective. In phase 2, we pay special consideration to the image acquisition pipeline to ensure image integrity. Then we utilize the power of transfer learning using the convolutional layers of the VGG16 deep learning model for feature extraction. Finally, in phase 3, we apply the random forest classifier on the constructed dataset. Results: The dataset comprises 3,731 images distributed among the four TIS diagnostic categories. The model achieves 74% accuracy in this multiclass classification problem. Using a one-versus-all classifier, the fallout rate for images that are misclassified as negative for malignancy despite being a higher risk diagnosis is 0.13. Most of these misclassified images (77%) belong to the atypia of undetermined significance category in concordance with real-life statistics. Conclusion: This is the first and largest publicly available serous fluid cytology dataset based on a standardized diagnostic system. It is also the first dataset to include various types of effusions and pericardial fluid specimens. In addition, it is the first dataset to include the diagnostically challenging atypical categories. AI algorithms applied on this novel dataset show reliable results that can be incorporated into actual clinical practice with minimal risk of missing a diagnosis of malignancy. This work provides a foundation for researchers to develop and test further AI algorithms for the diagnosis of serous effusions.

Wearable electronic devices in parasports: A focused review on para athlete classification.

Wearable electronic devices are being used to evaluate movement patterns, track workload, prevent injuries, and optimize performance in athletes. Para athletes have unique characteristics to consider separately from the general population. One such difference in competitive parasports includes consideration of athlete classification systems. These sport-specific classification systems consider athletes' eligible medical conditions that lead to permanent physical, visual, and/or intellectual impairments and objectively evaluate the impact of their impairments on sport functions. Para athletes are assigned sport classes and compete with athletes of similar functional levels. This promotes equitable opportunities to compete while minimizing the effect their impairment has on their sport performance. With recent reports of misrepresentation or incorrect and unfair classification providing unfair advantages to some athletes, parasports classification has been controversial. Having an objective, evidence-based, and fair classification system in parasports is critical to maintain the integrity of parasports competition. Wearable electronic devices have potential to provide more objective analysis of movement patterns in para athletes to assist in sport classification. This review identifies and analyzes the available literature on wearable electronic technology and its role in parasports classification. A comprehensive PubMed and Google Scholar search identified six articles included in this review. These studies used inertial sensors, motion capture systems, or surface electromyography in wheelchair basketball, rugby, tennis, sit skiing, and boccia. This review identifies the potential value of wearable electronic devices to assist in parasports classification. Additional studies are needed to create standardized protocols for each sport and sensor type.

Adaptive Shooting Disciplines: A Scoping Review of the Literature with Bibliometric Analysis.

Para-archery and para-shooting, two very popular adaptive shooting disciplines that have earned their place as major official events in the Paralympic Games, share some similarities, as well as distinctive features in terms of rules, physiological requirements, and equipment used. The International Paralympic Committee has a clear responsibility to ensure that all sports within its jurisdiction, including adaptive shooting, can achieve excellence in their respective fields. To achieve this, the conduct of well-designed studies and rigorous research is essential. Although some research has been conducted in this area, a comprehensive and systematic evaluation is still needed. Therefore, the present study aims to provide a thorough review and synthesis of existing research on adaptive shooting disciplines, identify strengths and gaps, and suggest future directions. Arksey and O'Malley's methodology is leveraged and enhanced with bibliometric and policy analyses to review literature on adaptive shooting. Databases like PubMed/MEDLINE, Scopus, Web of Science, OvidSP, and EMBASE were searched, focusing on studies in adaptive shooting disciplines and analysing these findings through a blend of thematic and statistical methods. Twenty-four studies totalling 483 para-athletes (299 para-shooters and 184 para-archers) are included in this scoping review, focusing on a range of aspects, including physiological responses (n = 9), research design and measurement methods for evidence-based classification (n = 6), biopsychosocial aspects (n = 3), development of new methods and technologies (n = 4), kinematic and biomechanical assessment (n = 1), and epidemiology of injuries (n = 1). Seven articles focused exclusively on para-archery, thirteen exclusively on para-shooting, and four on both para-archery and para-shooting. In conclusion, the available literature on adaptive shooting disciplines is still very limited, especially regarding para-archery compared to para-shooting. This highlights the need for further research in many key areas to ensure a better understanding of the different disciplines and to provide appropriate support for para-athletes. Future research in para-archery and para-shooting should focus on technological innovations, biomechanical studies, and psychological support to enhance athlete performance and accessibility. Addressing the imbalance between the two disciplines, along with injury prevention and global participation, can drive the sports towards greater inclusivity and equity for para-athletes worldwide.

Wheelchair handball classification system: purpose and validation evidence-based

The aim of the present work is to propose and validate an evidence-based Wheelchair Handball Classification System, that allows its widespread use and the standardization of the classification system in different Wheelchair Handball competitions. The study involved 98 Wheelchair Handball athletes of both sex (87 males, 11 females), aged between 14 and 76 years old (M=40.32; SD= 11.73) with physical impairments. All wheelchair handball players that had participated in the last 3 national championships were invited to participate. We applied the assessment protocol to the participants and athletes’ classification process had three phases: Medical and Physiological functional assessment; Technical assessment (evaluation of specific movements with wheelchair manipulation and Handball skills) and observation in a game situation (with videorecorder). We used a Classification Points Form to permit the assessment of muscle strength and range of movement of upper limbs, trunk, lower limbs, wheelchair manipulation and Handball skills. The manipulation of wheelchair was measured considering the symmetrical movement, acceleration, braking and change direction, using the Sprint 20m – speed test and a Slalom test. The handball skills were assessed, using dribbling, reception, catching the ball from the floor, shoulder and shopped pass and 9m to the goal shot. Data Analysis was done using descriptive statistics and an Ordinal Linear Regression. The dependent variable was the classification class and we considered five independent variables (mean of upper limbs, trunk, lower limbs, wheelchair manipulation and Handball skills). Data Analysis was done using IBM SPSS Statistics. The results showed that the proposed model presents a high degree of adjustment and permitted identify determinant variables of performance in that sport and indicates key tasks to optimize classification process. There was consistency in the specific parameters to assign a class to the athlete, according to their functional capacity, associated with the specific neuromotor alterations of each clinical condition.

Advances and Challenges in the Classification of Childhood Arthritis

The most appropriate classification of childhood arthritis remains controversial. Several efforts have been made over the years to devise classification systems that identify homogeneous subgroups within the disease spectrum. Although widely used, the International League of Associations for Rheumatology (ILAR) classification has shown major limitations as it was found to have failed its primary goal of identifying homogeneous disease categories. Furthermore, its use of the count of affected joints and of the presence of psoriatic features to define individual disease subsets has been criticized. A novel classification system has been proposed by the Pediatric Rheumatology International Trials Organization (PRINTO) through expert consensus. The preliminary scheme is currently being scrutinized by means a large-scale data collection aimed to formulate an evidence-based classification, whose results will likely be available in 2024. The development of a clinicobiologic classification has been tried in a proof-of-concept study by integrating meaningful biologic and clinical characteristics, including levels of proinflammatory cytokines and measures of disease activity, that defined indicators or composite variables capable of identifying homogeneous patient subgroups by cluster analysis. The current advance in biotechnology, especially genomics, proteomics and transcriptomics, may pave the way to the future identification of well-defined clusters of patients that will inform a biology-based and data-driven classification system. However, any attempt to defining biologic subtypes should be combined with precise clinical and prognostic data in order to devise a rational classification that facilitates the progress towards personalized management of children with JIA. Furthermore, the observed variability in the prevalence of disease subtypes across geographic areas and ethnic groups must be taken into account to develop a classification that is applicable on a global scale.

Real-World Impact of Differences in the World Health Organization (WHO) Classification and International Consensus Classification (ICC) Systems on the Diagnosis of Non-Hodgkin Lymphoma: An Analysis from the LEO Cohort Study

Introduction: The use of standardized, evidence-based classification systems is crucial for the accurate diagnosis and treatment of diseases. Moreover, standardized classification facilitates research and epidemiologic studies and promotes consistency in communication among healthcare professionals. Since 2016, the revised 4 th edition of the World Health Organization classification (WHO-HAEM4R) has been the global standard for diagnosis of lymphoid malignancies. With the emergence of new data, 2 new classification systems were developed and published in 2022: the 5 th edition of the WHO Classification (WHO-HAEM5) and the International Consensus Classification (ICC). Both WHO-HAEM5 and ICC maintain a shared fundamental concept of disease classification that integrates clinical, pathologic, and molecular data. However, they differ on nomenclature, establishment of new entities, and/or diagnostic criteria for some disease categories. To evaluate the impact of these differences on real-world diagnosis of non-Hodgkin lymphoma (NHL), we examined the diagnostic classification of NHL in the Lymphoma Epidemiology of Outcomes (LEO) Cohort Study (NCT02736357). Methods: Initiated in 2015, LEO is an ongoing prospective observational study of patients aged ≥18 years with newly diagnosed NHL. Patients are enrolled at 8 major U.S. medical centers. Clinical, epidemiologic, pathologic, and treatment data are abstracted at baseline and active follow-up is conducted for all patients. Lymphoma subtype is coded for each case based on expert hematopathology re-review of the diagnostic pathology slides, the pathology report, biomarker data, and clinical data. Of note, NHL subtype distribution is similar to SEER data. We studied all patients enrolled in LEO between 7/1/2016 (the date LEO pathology review started using WHO-HAEM4R diagnostic codes) and 5/31/2020. WHO-HAEM4R diagnoses and additional clinicopathologic data, when relevant, were used to map cases into the corresponding WHO-HAEM5 and ICC diagnoses. Differences between WHO-HAEM5 and ICC were annotated for each case as: None - same disease entity; Minor - difference in nomenclature with similar diagnostic criteria; Major - difference in disease category and/or diagnostic criteria; or Unevaluable - insufficient data to assign WHO-HAEM5 and/or ICC diagnosis. Results: LEO enrolled 6143 patients during the study period. Of these, comparison between WHO-HAEM5 and ICC was evaluable in 5730 (93.3%). Unevaluable cases included those without a specific WHO-HAEM4R diagnosis at enrollment (N=384; e.g., patients with a low-grade B-cell lymphoma that could not be definitively sub-classified) and those with a specific WHO-HAEM4R diagnosis, but with insufficient clinicopathologic data to assign a specific WHO-HAEM5 and/or ICC diagnosis (N=29). Of the 5730 evaluable cases, 5376 (93.8%) showed no difference between WHO-HAEM5 and/or ICC diagnosis, 311 (5.4%) showed minor differences (nomenclature only), and 43 (0.8%) showed major differences (Table 1). The 43 major differences all involved B-cell NHLs; 20 (46.5%) were attributable to different approaches to classifying double-hit lymphomas, 21 (48.9%) to classification of splenic/leukemic B-cell lymphomas, and 2 (4.6%) to classification of B-cell lymphomas occurring at specific anatomic sites (Table 2). Conclusion: In a large, prospective lymphoma cohort reflecting real-world clinical practice at 8 major U.S. medical centers, major diagnostic differences in the classification of NHL using WHO-HAEM5 or ICC classification criteria were seen in 0.8%, whereas the remaining 99.2% of diagnoses were either the same or showed differences in nomenclature only. The existence of 2 concurrent classification systems presents potential for discrepancies in pathologic diagnosis, clinical practice, clinical trials, and other lymphoma research. Furthermore, some of the differences between WHO-HAEM5 and ICC are clinically and potentially therapeutically significant, and their resolution requires further study. Nevertheless, our findings argue that the proportion of patients affected would be small in real-world practice settings. This appears largely related to incidence rates of specific lymphoma subtypes, with major differences between the 2 classifications predominantly affecting rare entities, while there is general concordance on the most common forms of NHL.

Cluster analysis of multiple impairment measures in evidence-based classification for para-alpine sit skiers.

The International Paralympic Committee has been promoting the development of evidence-based classification to reduce the subjectivity in current decision-making systems. The current study aimed to evaluate the validity of the impairment and performance tests for para-alpine sit skiing classification, and whether cluster analysis of the measures would produce a valid classification structure. Thirty-eight para-alpine sit skiers with different disabilities completed seven tests. During these tests, isometric trunk strength, trunk muscle excitation, trunk range of movement (ROM), and simulated skiing performance (board tilt angle) were assessed. Correlations between the measures and the board tilt angle were calculated. To group athletes, K-means cluster analysis was performed according to how much the impairment measures affected the board tilting. There were significant correlations between all measures and the maximal board tilt angle (r = 0.35-0.81, p < 0.05). The cluster analysis revealed that the introduction of ROM and muscle excitation was an effective supplement to strength measures in improving the classification accuracy (53%-79%). It produced four clusters with strong structures (mean silhouette coefficient = 0.81) and large and significant inter-cluster differences in most measures and performance between clusters (p < 0.05). The cluster analysis produced classes comprising athletes with similar degrees of activity limitation. All tests reported can help establish a more transparent classification system for para-alpine sit skiers. This study also provides a reference for evidence-based classification systems in other Para sports.

B-079 Identifying Heterogeneity of Systemic Connective Tissue Diseases by Applying Joint Dimension Reduction and Cluster Analysis to Immunomarkers

Abstract Background Accurate identification of systemic connective tissue diseases (SCTDs) can be challenging due to the heterogeneity of each disease. This study aims to explore the heterogeneity of different SCTDs by applying non-supervised learning to immunomarker data and proposes an alternative classification. Additionally, the study investigates the clinical implications of these different groups. Methods We utilized multiple correspondence analysis and k-means clustering to analyze the immunomarker data of patients with systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), and Sjögren’s syndrome (SS) in Taiwan between 2001 and 2016. To investigate the clinical correlations of the classification results, we conducted a comprehensive review of the clinical findings and compared the results across different groups. Results A total of 11 923 patients with the three SCTDs were classified into six distinct clusters based on their immunomarker patterns. In this clustering system, RA patients were predominantly grouped in cluster 1, whereas SLE and SS patients had a more dispersed distribution. Among patients with SLE, renal involvement was more frequent in clusters 3 and 6 (52% and 51%, respectively) than in other clusters, and discoid lupus was more frequent in cluster 3. Among SS patients, typical SS findings such as inflammation or infection of eyes and allergic reactions were more common in cluster 2 (54% and 51%, respectively). In contrast, patients in cluster 3 had more unspecified benign neoplasms (58%) and were more likely to experience immune disorders (63%). Conclusion The immunomarker-driven clustering yields an alternative classification result with new clinical insights. The data-driven approach would provide a more evidence-based classification and aid in a more accurate diagnosis and management for SCTDs.

Impact of soda tax on beverage price, sale, purchase, and consumption in the US: a systematic review and meta-analysis of natural experiments.

As a primary source of added sugars in the US diet, sugar-sweetened beverage (SSB) consumption is presumed to contribute to obesity prevalence and poor oral health. We systematically synthesized and quantified evidence from US-based natural experiments concerning the impact of SSB taxes on beverage prices, sales, purchases, and consumption. A keyword and reference search was performed in PubMed, Web of Science, Cochrane Library, Scopus, and EconLit from the inception of an electronic bibliographic database to Oct 31, 2022. Meta-analysis was conducted to estimate the pooled effect of soda taxes on SSB consumption, prices, passthrough rate, and purchases. Twenty-six natural experiments, all adopting a difference-in-differences approach, were included. Studies assessed soda taxes in Berkeley, Oakland, and San Francisco in California, Philadelphia in Pennsylvania, Boulder in Colorado, Seattle in Washington, and Cook County in Illinois. Tax rates ranged from 1 to 2 ¢/oz. The imposition of the soda tax was associated with a 1.06 ¢/oz. (95% confidence interval [CI] = 0.90, 1.22) increase in SSB prices and a 27.3% (95% CI = 19.3, 35.4%) decrease in SSB purchases. The soda tax passthrough rate was 79.7% (95% CI = 65.8, 93.6%). A 1 ¢/oz. increase in soda tax rate was associated with increased prices of SSBs by 0.84 ¢/oz (95% CI = 0.33, 1.35). Soda taxes could be effective policy leverage to nudge people toward purchasing and consuming fewer SSBs. Future research should examine evidence-based classifications of SSBs, targeted use of revenues generated by taxes to reduce health and income disparities, and the feasibility of redesigning the soda tax to improve efficiency.

Performance and limitations of a supervised deep learning approach for the histopathological Oxford Classification of glomeruli with IgA nephropathy

Background and ObjectiveThe Oxford Classification for IgA nephropathy is the most successful example of an evidence-based nephropathology classification system. The aim of our study was to replicate the glomerular components of Oxford scoring with an end-to-end deep learning pipeline that involves automatic glomerular segmentation followed by classification for mesangial hypercellularity (M), endocapillary hypercellularity (E), segmental sclerosis (S) and active crescents (C). MethodsA total number of 1056 periodic acid–Schiff (PAS) whole slide images (WSIs), coming from 386 kidney biopsies, were annotated. Several detection models for glomeruli, based on the Mask R-CNN architecture, were trained on 587 WSIs, validated on 161 WSIs, and tested on 127 WSIs. For the development of segmentation models, 20,529 glomeruli were annotated, of which 16,571 as training and 3958 as validation set. The test set of the segmentation module comprised of 2948 glomeruli. For the Oxford classification, 6206 expert-annotated glomeruli from 308 PAS WSIs were labelled for M, E, S, C and split into a training set of 4298 glomeruli from 207 WSIs, and a test set of 1908 glomeruli. We chose the best-performing models to construct an end-to-end pipeline, which we named MESCnn (MESC classification by neural network), for the glomerular Oxford classification of WSIs. ResultsInstance segmentation yielded excellent results with an AP50 ranging between 78.2–80.1 % (79.4 ± 0.7 %) on the validation and 75.1–77.7 % (76.5 ± 0.9 %) on the test set. The aggregated Jaccard Index was between 73.4–75.9 % (75.0 ± 0.8 %) on the validation and 69.1–73.4 % (72.2 ± 1.4 %) on the test set. At granular glomerular level, Oxford Classification was best replicated for M with EfficientNetV2-L with a mean ROC-AUC of 90.2 % and a mean precision/recall area under the curve (PR-AUC) of 81.8 %, best for E with MobileNetV2 (ROC-AUC 94.7 %) and ResNet50 (PR-AUC 75.8 %), best for S with EfficientNetV2-M (mean ROC-AUC 92.7 %, mean PR-AUC 87.7 %), best for C with EfficientNetV2-L (ROC-AUC 92.3 %) and EfficientNetV2-S (PR-AUC 54.7 %). At biopsy-level, correlation between expert and deep learning labels fulfilled the demands of the Oxford Classification. ConclusionWe designed an end-to-end pipeline for glomerular Oxford Classification on both a granular glomerular and an entire biopsy level. Both the glomerular segmentation and the classification modules are freely available for further development to the renal medicine community.

Evidence-based Classification: Valid Measures Of Impairment In Powerchair Football

Evidence-based Classification: Valid Measures Of Impairment In Powerchair Football

Towards an Evidence-Based Classification System for Para Dressage: Associations between Impairment and Performance Measures.

This study follows a previously defined framework to investigate the impact of impairment on performance in Para dressage athletes. Twenty-one elite Para dressage athletes (grades I to V) and eleven non-disabled dressage athletes (competing at Prix St. Georges or Grand Prix) participated. Data were collected in two phases: performing a two minute custom dressage test on a riding simulator while kinematic data were synchronously collected using inertial measurement units (2000 Hz) and optical motion capture (100 Hz), and clinically assessed using a battery of impairment assessment tools administered by qualified therapists. Impairment and performance measures were compared between Para and non-disabled athletes. Significant differences between athlete groups were found for all impairment measures and two performance measures: simulator trunk harmonics (p = 0.027) and athlete trunk dynamic symmetry (p < 0.001). Impairment assessments of sitting function and muscle tone could predict 19 to 35% of the impact of impairment on performance in Para athletes but not in non-disabled athletes. These findings provide the basis for a robust, scientific evidence base, which can be used to aid in the refinement of the current classification system for Para dressage, to ensure that it is in line with the International Paralympic Committee's mandate for evidence-based systems of classification.