Data Extraction Research Articles

Influence of paternal preconception health on pregnancy, intrapartum, postpartum and early childhood outcomes: protocol for a parallel scoping review

IntroductionPreconception care is the provision of behavioural, social or biomedical interventions to women and couples prior to conception. To date, preconception research has primarily focused on maternal health, despite the...

Political economy analysis of health: a scoping review protocol.

The objective of this scoping review is to identify and map the literature on concepts, definitions, frameworks, outcomes, and applications of political economic analysis of health. The political economy of health approach seeks to understand how political and economic domains interact and shape individual and population health outcomes. A political economic analysis can provide insights into health problems and inequalities; however, there needs to be more clarity on how the political economy framework is defined and the methods adopted for conducting political economy analysis concerning health. Studies focusing on the political economy analysis addressing specific health problems will be included. The study population is not limited to any sociodemographic characteristics, and there will be no restrictions on language or the source of evidence (primary studies or secondary data studies). Both qualitative and quantitative methodologies will included, but narrative and systematic reviews will be excluded, as will conference abstracts and editorials. Studies involving sector- or country-level analysis will be included. The review will follow the JBI methodology for scoping reviews. Databases to be searched include MEDLINE, Scopus, Web of Science, Cochrane CENTRAL, CINAHL, Embase, ProQuest, DynaMed, and gray literature via Google Scholar and OAIster. Two reviewers will perform study screening and data extraction using a customized data extraction form. The concepts, definitions, frameworks, outcomes, and applications of the political economy of health will be summarized and discussed. The health problems addressed using political economy analysis will be enumerated. Stakeholder engagement will guide all steps of the study. Results will be presented in tabular and graphical formats accompanied by a narrative summary. Open Science Framework https://osf.io/4qaxr/.

Theories, models and frameworks to understand barriers to the provision of mobility-assistive technologies: a scoping review

ObjectivesThere is strong evidence that mobility-assistive technologies improve occupational performance, social participation, educational and employment access and overall quality of life in people with disabilities. However, people with disabilities still...

How prepared are newly qualified allied health professionals for practice in the UK? A systematic review

ObjectivesIt is important that allied health professionals (AHPs) are prepared for clinical practice from the very start of their working lives to provide quality care for patients, for their personal...

Systematic review of risk factors, prognosis, and management of colorectal signet-ring cell carcinoma

BACKGROUND Colorectal signet-ring cell carcinoma (CSRCC) is a rare clinical entity which accounts for approximately 1% of all colorectal cancers. Although multiple studies concerning this specific topic have been published in the past decades, the pathogenesis, associated risk factors, and potential implications on treatment are still poorly understood. Besides the low incidence, historically confusing histological criteria have resulted in confusing data. Nevertheless, the rising incidence of CSRCC along with relatively young age at presentation and associated dismal prognosis, highlight the actual interest to synthesize the known literature regarding CSRCC. AIM To provide an updated overview of risk factors, prognosis, and management of CSRCC. METHODS A literature search in the MEDLINE/PubMed database was conducted with the following search terms used: ‘Signet ring cell carcinoma’ and ‘colorectal’. Studies in English language, published after January 1980, were included. Studies included in the qualitative synthesis were evaluated for content concerning epidemiology, risk factors, and clinical, diagnostic, histological, and molecular features, as well as metastatic pattern and therapeutic management. If possible, presented data was extracted in order to present a more detailed overview of the literature. RESULTS In total, 67 articles were included for qualitative analysis, of which 54 were eligible for detailed data extraction. CSRCC has a reported incidence between 0.1%-2.4% and frequently presents with advanced disease stage at the time of diagnosis. CSRCC is associated with an impaired overall survival (5-year OS: 0%-46%) and a worse stage-corrected outcome compared to mucinous and not otherwise specified adenocarcinoma. The systematic use of exploratory laparoscopy to determine the presence of peritoneal metastases has been advised. Surgery is the mainstay of treatment, although the rates of curative resection in CSRCC (21%-82%) are lower compared to those in other histological types. In case of peritoneal metastasis, cytoreductive surgery with hyperthermic intraperitoneal chemotherapy should only be proposed in selected patients. CONCLUSION CSRCC is a rare clinical entity most often characterized by young age and advanced disease at presentation. As such, diagnostic modalities and therapeutic approach should be tailored accordingly.

Stress interventions for immigrant parents in the United States: a scoping review protocol.

This review will map stress interventions designed for and implemented among immigrant parents in the United States (US) according to (1) intervention characteristics, (2) participant characteristics, and (3) reported outcomes and measurement tools. In addition to parenting stressors shared with their non-immigrant counterparts, immigrant parents also face immigration stressors. Although stress interventions can effectively manage, reduce, or prevent stress among non-immigrant populations, we know little about stress interventions designed for immigrant parents in the US. This study will be the first to explore stress interventions implemented among immigrant parents in the US. This scoping review will include published, peer-reviewed quantitative, qualitative, and mixed methods studies that evaluate stress interventions designed specifically for US immigrant parents with at least 1 child under the age of 18 years. Reported interventions must include stress as a primary or secondary outcome or be labeled as a stress intervention. Stress interventions are broadly defined, with no restrictions on the type of stress targeted (eg, job, general, parenting) or the intervention's nature (ie, prevention vs. management/reduction vs. treatment). A literature search will be conducted in ProQuest's APA PsycINFO and PsycARTICLES, CINAHL Plus (EBSCOhost), ERIC (ProQuest), Embase, MEDLINE (Ovid), International Bibliography of Social Sciences (ProQuest), and the Cochrane Library. Only English-language publications will be eligible, with no date restrictions. Retrieved titles and abstracts will be screened by at least 2 independent reviewers in duplicate. Data will be extracted using a self-developed data extraction tool. Findings will be presented in tabular or diagrammatic format, accompanied by a narrative summary. osf.io/ec39j.

Colorectal cancer outcomes among Hispanic/Latino patients in the United States: a scoping review protocol.

This scoping review will identify the patterns of survival, treatment, and recurrence among Hispanic and/or Latino/a/x (H/L) patients with colorectal cancer (CRC) living in the United States (US) and Puerto Rico. Additionally, population- and individual-level determinants of cancer outcomes among H/L CRC patients will be mapped to highlight under-reported/under-investigated research areas. CRC is the third most common cancer excluding skin cancers in the US. Unlike non-Hispanic White populations, cancer is the number one cause of death in H/L populations and currently represents 21% of total deaths. Despite this, a lack of consensus exists on CRC outcomes for H/L patients. Most research on H/L individuals has examined incidence and screening of CRC, with fewer studies focusing on cancer outcomes. All epidemiological study designs and systematic reviews will be considered. The review will only include peer-reviewed studies that report on survival, treatment, and/or recurrence patterns for H/L patients with CRC residing in the US and Puerto Rico. A 3-step search with a 2-stage study selection process will be followed, as recommended by JBI and Arksey and O'Malley. Databases to be searched will include MEDLINE (PubMed), Embase (Ovid), and Scopus. A data extraction tool will be designed based on JBI recommendations. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRSIMA-ScR) will be used, with the results presented in a PRISMA diagram. Publications in English from database inception to the present will be considered.

Classifying Individuals With Rheumatic Conditions as Financially Insecure Using Electronic Health Record Data and Natural Language Processing: Algorithm Derivation and Validation.

We aimed to examine the feasibility of applying natural language processing (NLP) to unstructured electronic health record (EHR) documents to detect the presence of financial insecurity among patients with rheumatologic disease enrolled in an integrated care management program (iCMP). We incorporated supervised, rule-based NLP and statistical methods to identify financial insecurity among patients with rheumatic conditions enrolled in an iCMP (n = 20,395) in a multihospital EHR system. We constructed a lexicon for financial insecurity using data from available knowledge sources and then reviewed EHR notes from 538 randomly selected individuals (training cohort n = 366, validation cohort n = 172). We manually categorized records as having "definite," "possible," or "no" mention of financial insecurity. All available notes were processed using Narrative Information Linear Extraction, a rule-based version of NLP. Models were trained using the NLP features for financial insecurity using logistic, least absolute shrinkage operator (LASSO), and random forest performance characteristic and were compared with the reference standard. A total of 245,142 notes were processed from 538 individual patient records. Financial insecurity was present among 100 (27%) individuals in the training cohort and 63 (37%) in the validation cohort. The LASSO and random forest models performed identically and slightly better than logistic regression, with positive predictive values of 0.90, sensitivities of 0.29, and specificities of 0.98. The development of a context-driven lexicon used with rule-based NLP to extract data that identify financial insecurity is feasible for use and improved the capture for presence of financial insecurity with high accuracy. In the absence of a standard lexicon and construct definition for financial insecurity status, additional studies are needed to optimize the sensitivity of algorithms to categorize financial insecurity with construct validity.

Efficacy and safety of radiofrequency ablation and laparoscopic adrenalectomy for primary aldosteronism: a meta‑analysis.

To compare the efficacy (including blood pressure, medication reduction, serum potassium, and clinical success) and safety parameters (including operative time, length of hospital stay, blood loss, hypertension crisis rate, and complication rate) of radiofrequency ablation (RFA) and laparoscopic adrenalectomy (LA) in the treatment of primary aldosteronism (PA). Literature search was performed on PubMed, EMBASE, The Cochrane Library (Issue 8, 2023), Web of Science, China National Knowledge Infrastructure, and Wanfang from inception to August 2023. Study selection, data extraction, and risk of bias assessment were performed by two independent reviewers. Quality assessment was conducted using the Newcastle-Ottawa scale. The Stata 12.0 software was used for statistical analyses. Pooled odds ratios (OR) with corresponding 95% confidence interval (CI) were calculated for categorical outcomes, while mean difference (MD) with corresponding 95% CI were calculated for continuous outcomes. A total of 5 studies involving 204 patients (LA, n = 127; and RAF, n = 77) were included. LA had better diastolic blood pressure control than RFA (WMD = 5.19; 95% CI 0.96-9.43); however, the RFA demonstrated better shorter operative time (WMD = - 57.99; 95% CI - 116.54 to 0.57), and shorter length of hospital stay (OR - 1.6; 95% CI - 2.37 to - 0.83) compared to LA. All remaining parameters were comparable between the interventions. While grossly comparable in efficacy as treatment options for PA, RFA may allow for shorter operative time and hospital stay, less intraoperative blood loss, and lower hospitalization costs. However, LA has better diastolic blood pressure control. Even so, we still need larger prospective studies, specifically with comparative hypertension response (short and long term) and number of post-procedural antihypertensive medication requirement.

Reviving Static Charts into Live Charts.

Data charts are prevalent across various fields due to their efficacy in conveying complex data relationships. However, static charts may sometimes struggle to engage readers and efficiently present intricate information, potentially resulting in limited understanding. We introduce "Live Charts," a new format of presentation that decomposes complex information within a chart and explains the information pieces sequentially through rich animations and accompanying audio narration. We propose an automated approach to revive static charts into Live Charts. Our method integrates GNN-based techniques to analyze the chart components and extract data from charts. Then we adopt large natural language models to generate appropriate animated visuals along with a voice-over to produce Live Charts from static ones. We conducted a thorough evaluation of our approach, which involved the model performance, use cases, a crowd-sourced user study, and expert interviews. The results demonstrate Live Charts offer a multi-sensory experience where readers can follow the information and understand the data insights better. We analyze the benefits and drawbacks of Live Charts over static charts as a new information consumption experience.

Efficacy and safety of salvage endoscopy in the treatment of residual or recurrent colorectal neoplasia after endoscopic resection: a systematic review and meta-analysis.

To systematically review and meta-analyze the efficacy and safety of salvage endoscopy for residual or recurrence of colorectal tumors after endoscopic resection. Multiple databases including PubMed, EMBASE and the Cochrane Library were searched to screen for eligible studies and perform data extraction and pooled analysis. Sixteen studies on salvage endoscopy for residual or recurrent colorectal cancer after endoscopic resection were included, covering approximately 994 patients. The results of the meta-analysis demonstrated that salvage endoscopic therapy for residual or recurrent colorectal tumors following endoscopic resection achieved an en bloc resection rate of 92% (95% CI 0.85-0.97; I2 = 91%) and an R0 resection rate of 82% (95% CI 0.75-0.87; I2 = 78%). The rates of intraoperative or postoperative bleeding and perforation were 10%/1% and 5%/2%, and the recurrence rate was 2%. Salvage endoscopic resection is an effective and safe treatment strategy for residual or recurrent colorectal tumors after endoscopic resection.

One-Year Longitudinal Assessment of Patients With CMT1A Using Quantitative MRI.

Intramuscular fat fraction (FF) assessed using quantitative MRI (qMRI) has emerged as one of the few responsive outcome measures in CMT1A suitable for future clinical trials. This study aimed to identify the relevance of multiple qMRI biomarkers for tracking longitudinal changes in CMT1A and to assess correlations between MRI metrics and clinical parameters. qMRI was performed in CMT1A patients at 2 time points, a year apart, and various metrics were extracted from 3-dimensional volumes of interest at thigh and leg levels. A semiautomated segmentation technique was used, enabling the analysis of central slices and a larger 3D muscle volume. Metrics included proton density (PD), magnetization transfer ratio (MTR), and intramuscular FF. The sciatic and tibial nerves were also assessed. Disease severity was gauged using Charcot Marie Tooth Neurologic Score (CMTNSv2), Charcot Marie Tooth Examination Score, Overall Neuropathy Limitation Scale scores, and Medical Research Council (MRC) muscle strength. Twenty-four patients were included. FF significantly rose in the 3D volume at both thigh (+1.04% ± 2.19%, p = 0.041) and leg (+1.36% ± 1.87%, p = 0.045) levels. The 3D analyses unveiled a length-dependent gradient in FF, ranging from 22.61% ± 10.17% to 26.17% ± 10.79% at the leg level. There was noticeable variance in longitudinal changes between muscles: +3.17% ± 6.86% (p = 0.028) in the tibialis anterior compared with 0.37% ± 4.97% (p = 0.893) in the gastrocnemius medialis. MTR across the entire thigh volume showed a significant decline between the 2 time points -2.75 ± 6.58 (p = 0.049), whereas no significant differences were noted for the 3D muscle volume and PD. No longitudinal changes were observed in any nerve metric. Potent correlations were identified between FF and primary clinical measures: CMTNSv2 (ρ = 0.656; p = 0.001) and MRC in the lower limbs (ρ = -0.877; p < 0.001). Our results further support that qMRI is a promising tool for following up longitudinal changes in CMT1A patients, FF being the paramount MRI metric for both thigh and leg regions. It is crucial to scrutinize the postimaging data extraction methods considering that annual changes are minimal (around +1.5%). Given the varied FF distribution, the existence of a length-dependent gradient, and the differential fatty involution across muscles, 3D volume analysis appeared more suitable than single slice analysis.

Protocol for a scoping review study on learning plan use in undergraduate medical education

BackgroundThe current paradigm of competency-based medical education and learner-centredness requires learners to take an active role in their training. However, deliberate and planned continual assessment and performance improvement is hindered by the fragmented nature of many medical training programs. Attempts to bridge this continuity gap between supervision and feedback through learner handover have been controversial. Learning plans are an alternate educational tool that helps trainees identify their learning needs and facilitate longitudinal assessment by providing supervisors with a roadmap of their goals. Informed by self-regulated learning theory, learning plans may be the answer to track trainees’ progress along their learning trajectory. The purpose of this study is to summarise the literature regarding learning plan use specifically in undergraduate medical education and explore the student’s role in all stages of learning plan development and implementation.MethodsFollowing Arksey and O’Malley’s framework, a scoping review will be conducted to explore the use of learning plans in undergraduate medical education. Literature searches will be conducted using multiple databases by a librarian with expertise in scoping reviews. Through an iterative process, inclusion and exclusion criteria will be developed and a data extraction form refined. Data will be analysed using quantitative and qualitative content analyses.DiscussionBy summarising the literature on learning plan use in undergraduate medical education, this study aims to better understand how to support self-regulated learning in undergraduate medical education. The results from this project will inform future scholarly work in competency-based medical education at the undergraduate level and have implications for improving feedback and supporting learners at all levels of competence.Scoping review registration:Open Science Framework osf.io/wvzbx.

Body weight and composition endpoints in cancer cachexia clinical trials: Systematic Review 4 of the cachexia endpoints series.

Significant variation exists in the outcomes used in cancer cachexia trials, including measures of body composition, which are often selected as primary or secondary endpoints. To date, there has been no review of the most commonly selected measures or their potential sensitivity to detect changes resulting from the interventions being examined. The aim of this systematic review is to assess the frequency and diversity of body composition measures that have been used in cancer cachexia trials. MEDLINE, Embase and Cochrane Library databases were systematically searched between January 1990 and June 2021. Eligible trials examined adults (≥18years) who had received an intervention aiming to treat or attenuate the effects of cancer cachexia for >14days. Trials were also of a prospective controlled design and included body weight or at least one anthropometric, bioelectrical or radiological endpoint pertaining to body composition, irrespective of the modality of intervention (e.g., pharmacological, nutritional, physical exercise and behavioural) or comparator. Trials with a sample size of <40 patients were excluded. Data extraction used Covidence software, and reporting followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidance. This review was prospectively registered (PROSPERO: CRD42022276710). A total of 84 clinical trials, comprising 13016 patients, were eligible for inclusion. Non-small-cell lung cancer and pancreatic cancer were studied most frequently. The majority of trial interventions were pharmacological (52%) or nutritional (34%) in nature. The most frequently reported endpoints were assessments of body weight (68 trials, n=11561) followed by bioimpedance analysis (BIA)-based estimates (23 trials, n=3140). Sixteen trials (n=3052) included dual-energy X-ray absorptiometry (DEXA)-based endpoints, and computed tomography (CT) body composition was included in eight trials (n=841). Discrepancies were evident when comparing the efficacy of interventions using BIA-based estimates of lean tissue mass against radiological assessment modalities. Body weight, BIA and DEXA-based endpoints have been most frequently used in cancer cachexia trials. Although the optimal endpoints cannot be determined from this review, body weight, alongside measurements from radiological body composition analysis, would seem appropriate. The choice of radiological modality is likely to be dependent on the trial setting, population and intervention in question. CT and magnetic resonance imaging, which have the ability to accurately discriminate tissue types, are likely to be more sensitive and provide greater detail. Endpoints are of particular importance when aligned with the intervention's mechanism of action and/or intended patient benefit.

Comparison of the Clinical Effectiveness of Telerehabilitation with Traditional Rehabilitation Methods in Multiple Sclerosis Patients: A Systematic Review.

Background: The rehabilitation process for multiple sclerosis (MS) patients is long and complex, which can lead to reduced rehabilitation outcomes and reduced quality improvement. Thus, there is a need to use new methods to boost traditional rehabilitation. Innovations such as telerehabilitation can be helpful to remove the obstacles to treatment, but evidence for their effectiveness is limited. The objective of this work was to compare the clinical effectiveness of telerehabilitation with traditional interventions in MS patients. Methods: Seven bibliographic databases (PubMed, Cochran Library, Scopus, Science Direct, Web of Science, Embase, and ProQuest) were used in this research. The initial search resulted in the extraction of 8,239 articles; after the review of the title, abstract, and full text, 11 articles were selected. In addition, backward reference list checking of the selected studies was conducted. Studies that were related to our objectives were included. Quality assessment was performed using the CONSORT checklist. Then, data extraction was done using the form set by the researcher in Word 2016 software. Results: Overall, telerehabilitation achieved more positive effects compared to traditional rehabilitation on physical (n = 6), cognitive (n = 3), cognitive, and physical outcomes (n = 2), respectively. Synchronous telerehabilitation was more effective than other modalities (n = 8). In four studies, virtual reality-based telerehabilitation was used. Also, telerehabilitation in home offered better clinical outcomes compared to rehabilitation center (n = 9). Conclusions: This review provides evidence for the potential effectiveness of telerehabilitation for the improvement of clinical outcomes in MS patients. However, more robust randomized controlled trials are needed to confirm the observed positive effects.

What Do We Know about the Diets of Pacific Islander Adults in Papua New Guinea? A Scoping Review

While a large proportion of the population in Papua New Guinea (PNG) maintain a subsistence lifestyle, exposure to modernisation and industrialisation since European contact has influenced a transition towards Western diets. This review aimed to scope and summarise the published research on dietary intake among Pacific Islander adults in PNG. Four electronic databases and grey literature were searched. Two reviewers completed the screening and data extraction. Fourteen studies were included from the Highlands (n = 7), Southern (n = 5), Momase (n = 1) and both the Highlands/Southern region (n = 1). No studies were from the Islands region. The majority of the studies were published prior to the year 2000 (n = 9). Geographical region and degree of urbanisation had an impact on dietary intake. Urban areas reported higher intakes of energy, protein and fat compared to rural areas. In the Southern region, a variety of foods, including sago, taro, kaukau, cooked banana, coconut and cassava contributed to energy intake, while kaukau was the main energy and protein source in the Highlands. The main foods contributing to protein in the Southern region were fresh fish, land animals and purchased animals. This review highlights an evidence gap regarding dietary intake research. Within the context of international initiatives, there is an urgent call for research aimed at understanding the social and cultural contextualisation of dietary behaviours in PNG.

Expediting structure–property analyses using variational autoencoders with regression

We present a machine learning approach that expedites structure–property analysis in materials, bypassing traditional feature extraction and exploratory data analysis techniques. This objective is accomplished by employing a variational autoencoder (VAE) structure that is modified to include a regressor network for property prediction (VAE-Regression). This modification allows for direct linkage of imaged features and quantitative part properties within the VAE latent space. We first demonstrate our approach using 2D optical micrographs and corresponding four-point bend fatigue life data from laser beam powder bed fusion additively manufactured Ti-6Al-4V coupons. The VAE-Regression model extracts spatial features, predicts fatigue life, and identifies features of porosity defect governing fatigue behavior such as pore clusters, pores near sample edges, and jagged pore morphologies. These features corroborate fatigue literature on physics-based modeling and experimentation. We then demonstrate the versatility of our methodology using binder jet additively manufactured WC-Co coupons, where porosity and microstructural discontinuities are known to lower the three-point bend transverse rupture strength, but the interaction between the WC and Co are yet to be completely understood. We attempted to understand these interactions using our VAE-Regression architecture. Within our dataset, we show that coarser WC grains surrounded by larger Co pools indicate lower strength, while finer WC grains with smaller Co pools indicate higher strength. This machine learning approach using image-based data will likely prove to be critical in understanding and identifying structure–property relationships in new materials and manufacturing processes.

Contrasting bone profiles in PCOS are related to BMI: a systematic review and meta-analysis.

Controversial results have emerged regarding whether PCOS is protective or increases the risk of bone frailty. This study investigated whether the PCOS condition affects bone parameters of premenopausal women. This is an update for a previous meta-analysis published in 2019. We searched MEDLINE and Embase. Studies were considered eligible for the update if published in English between the 1st of October 2018 and the 31st of December 2023. The diagnosis of PCOS should be based on NIH criteria, the Rotterdam Consensus, AE-PCOS society criteria, or ICD codes in women over 18 years old. Only records with the Newcastle-Ottawa Scale > 6 were selected for data extraction. Data were extracted by two independent reviewers. We identified 31 studies that met the inclusion criteria for qualitative analysis from 3322 studies in the whole period (1990-2023). Overall, cross-sectional studies included 1822 individuals with PCOS and 1374 controls, while cohort studies incorporated 30305 women with PCOS and 101907 controls. Contrasting profiles emerged after stratification using a BMI cutoff of 27 kg/m2. Individuals with PCOS and a BMI <27 kg/m2 exhibited lower vertebral and non-vertebral bone density, reduced bone turnover marker (osteocalcin), and increased bone resorption marker (CTX) levels. Conversely, individuals with PCOS and a BMI >27 kg/m2 exhibited increased vertebral and non-vertebral BMD, with no significant changes in bone formation and resorption markers (except osteocalcin). The findings of this study alert for a low bone mass, low bone formation, and increased bone resorption PCOS with a BMI <27 kg/m2.

Informing Digital Programs for Lupus Self-Management Education: A Systematic Scoping Review.

We describe the characteristics, content, and effectiveness of digital self-management (SM) education programs for lupus and other chronic conditions to identify gaps and inform the improvement of future programs in lupus. Three bibliographic databases were searched for articles published between May 2012 and April 2022. The search was cast to capture the breadth of digital SM education programs in the following conditions: lupus, epilepsy, fibromyalgia, multiple sclerosis, sickle cell anemia, Sjogren's syndrome, psoriatic arthritis, and rheumatoid arthritis. Title and abstract screening, as well as full-text review, was conducted by two independent reviewers. Data extraction was first completed by one author charting all studies and then, a second time, by four members of the research team charting collaboratively. Of the 1,969 articles identified through the search, 14 met inclusion criteria. Two additional articles were included following bibliography review. The 16 articles represented 12 unique digital SM education programs. Programs covered five conditions: epilepsy (n=3), fibromyalgia (n=2), multiple sclerosis (n=4), lupus (n=1), and rheumatoid arthritis (n=2). Most programs were asynchronous and internet-based (n=9) with a prescribed sequence of content (n=8). Peer, technical, or specialist support was offered in seven programs. Most programs demonstrated statistically significant improvement of symptoms in the intervention group (n=8). This scoping review summarizes the current landscape for digital SM education programs in lupus and similar conditions. In lupus, further investigation will fill in the gaps around digital SM education needs, user experience and evaluation of outcomes.

A Hybrid Semi-Automated Workflow for Systematic and Literature Review Processes with Large Language Model Analysis

Systematic reviews (SRs) are a rigorous method for synthesizing empirical evidence to answer specific research questions. However, they are labor-intensive because of their collaborative nature, strict protocols, and typically large number of documents. Large language models (LLMs) and their applications such as gpt-4/ChatGPT have the potential to reduce the human workload of the SR process while maintaining accuracy. We propose a new hybrid methodology that combines the strengths of LLMs and humans using the ability of LLMs to summarize large bodies of text autonomously and extract key information. This is then used by a researcher to make inclusion/exclusion decisions quickly. This process replaces the typical manually performed title/abstract screening, full-text screening, and data extraction steps in an SR while keeping a human in the loop for quality control. We developed a semi-automated LLM-assisted (Gemini-Pro) workflow with a novel innovative prompt development strategy. This involves extracting three categories of information including identifier, verifier, and data field (IVD) from the formatted documents. We present a case study where our hybrid approach reduced errors compared with a human-only SR. The hybrid workflow improved the accuracy of the case study by identifying 6/390 (1.53%) articles that were misclassified by the human-only process. It also matched the human-only decisions completely regarding the rest of the 384 articles. Given the rapid advances in LLM technology, these results will undoubtedly improve over time.