Observational Studies In Epidemiology Research Articles

Prognosis and risk factor assessment of patients with advanced lung cancer with low socioeconomic status: model development and validation

BackgroundLung cancer, a major global health concern, disproportionately impacts low socioeconomic status (SES) patients, who face suboptimal care and reduced survival. This study aimed to evaluate the prognostic performance of traditional Cox proportional hazards (CoxPH) regression and machine learning models, specifically Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), and Extreme Gradient Boosting (XGBoost), in patients with advanced lung cancer with low SES.DesignA retrospective study.MethodThe 949 patients with advanced lung cancer with low SES who entered the hospice ward of a tertiary hospital in Wuhan, China, from January 2012 to December 2021 were randomized into training and testing groups in a 3:1 ratio. CoxPH regression methods and four machine learning algorithms (DT, RF, SVM, and XGBoost) were used to construct prognostic risk prediction models.ResultsThe CoxPH regression-based nomogram demonstrated reliable predictive accuracy for survival at 60, 90, and 120 days. Among the machine learning models, XGBoost showed the best performance, whereas RF had the lowest accuracy at 60 days, DT at 90 days, and SVM at 120 days. Key predictors across all models included Karnofsky Performance Status (KPS) score, quality of life (QOL) score, and cough symptoms.ConclusionsCoxPH, DT, RF, SVM, and XGBoost models are effective in predicting mortality risk over 60–120 days in patients with advanced lung cancer with low SES. Monitoring KPS, QOL, and cough symptoms is crucial for identifying high-risk patients who may require intensified care. Clinicians should select models tailored to individual patient needs and preferences due to varying prediction accuracies.Reporting methodThis study was reported in strict compliance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guideline.Patient or public contributionNo patient or public contribution.

Transparent reporting on multi-site studies about algorithms for linked health data: A systematic review of Health Data Research Network Canada’s Algorithms Inventory

ObjectiveMulti-site studies that use routinely-collected, linked health data often rely on validated algorithms to harmonize definitions of health conditions or other population characteristics across sites. If algorithm validation is not practicable, feasibility studies that assess whether an algorithm can be consistently and accurately implemented across sites, are recommended. We investigated the transparency of reporting on multi-site algorithm feasibility studies found in Health Data Research Network (HDRN) Canada’s Algorithms Inventory. ApproachPublished, multi-site Canadian feasibility studies about chronic or infectious disease algorithms were assessed using an adaptation of the RECORD (REporting of studies Conducted using Observational Routinely collected health Data) and STROBE (STrengthening the Reporting of OBservational studies in Epidemiology) guidelines. Reviewers were trained on a subset of studies. The remainder were independently assessed by two reviewers and quality checks were conducted. Results were descriptively summarized. ResultsThirty published multi-site algorithm feasibility studies were reviewed; the majority were conducted in four or more sites, and 83% assessed chronic disease algorithms. Almost one-fifth (17%) of the studies did not justify the methods used to assess algorithm feasibility. However, the majority (>95%) addressed potential sources of bias and discussed algorithm generalizability. ConclusionsWe observed accurate and complete reporting of most elements of multi-site algorithm feasibility studies conducted in Canada. These studies provided important information about availability of data elements, generalizability, and potential algorithm uses. ImplicationsTransparent reporting of algorithm feasibility studies facilitates algorithm reuse, enhances the credibility and reproducibility of study findings, and promotes collaboration within the data linkage community.

Evaluating the Capabilities of Generative AI Tools in Understanding Medical Papers: Qualitative Study.

Reading medical papers is a challenging and time-consuming task for doctors, especially when the papers are long and complex. A tool that can help doctors efficiently process and understand medical papers is needed. This study aims to critically assess and compare the comprehension capabilities of large language models (LLMs) in accurately and efficiently understanding medical research papers using the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) checklist, which provides a standardized framework for evaluating key elements of observational study. The study is a methodological type of research. The study aims to evaluate the understanding capabilities of new generative artificial intelligence tools in medical papers. A novel benchmark pipeline processed 50 medical research papers from PubMed, comparing the answers of 6 LLMs (GPT-3.5-Turbo, GPT-4-0613, GPT-4-1106, PaLM 2, Claude v1, and Gemini Pro) to the benchmark established by expert medical professors. Fifteen questions, derived from the STROBE checklist, assessed LLMs' understanding of different sections of a research paper. LLMs exhibited varying performance, with GPT-3.5-Turbo achieving the highest percentage of correct answers (n=3916, 66.9%), followed by GPT-4-1106 (n=3837, 65.6%), PaLM 2 (n=3632, 62.1%), Claude v1 (n=2887, 58.3%), Gemini Pro (n=2878, 49.2%), and GPT-4-0613 (n=2580, 44.1%). Statistical analysis revealed statistically significant differences between LLMs (P<.001), with older models showing inconsistent performance compared to newer versions. LLMs showcased distinct performances for each question across different parts of a scholarly paper-with certain models like PaLM 2 and GPT-3.5 showing remarkable versatility and depth in understanding. This study is the first to evaluate the performance of different LLMs in understanding medical papers using the retrieval augmented generation method. The findings highlight the potential of LLMs to enhance medical research by improving efficiency and facilitating evidence-based decision-making. Further research is needed to address limitations such as the influence of question formats, potential biases, and the rapid evolution of LLM models.

Causal association of inflammatory bowel disease with sarcoidosis and the mediating role of primary biliary cholangitis.

Previous observational epidemiological studies have identified a potential association between inflammatory bowel disease (IBD) and sarcoidosis. Nonetheless, the precise biological mechanisms underlying this association remain unclear. Therefore, we adopted a Mendelian randomization (MR) approach to investigate the causal relationship between IBD with genetic susceptibility to sarcoidosis, as well as to explore the potential mediating role. The genetic associations were obtained from publicly available genome-wide association studies (GWASs) of European ancestry. The IBD dataset has 31,665 cases and 33,977 controls, consisting of 13,768 individuals with ulcerative colitis (UC) and 17,897 individuals with Crohn's disease (CD). The genetic associations of sarcoidosis with 4,854 cases and 446,523 controls. A bidirectional causality between IBD and sarcoidosis was implemented to be determined by a two-sample MR approach. The inverse variance weighted (IVW) method was utilized as the main statistical method, and a series of sensitivity analyses were performed to detect heterogeneity and horizontal pleiotropy. A two-step MR approach was used to investigate whether the mediating pathway from IBD to sarcoidosis was mediated by PBC. The forward MR analysis indicated that genetic predisposition to IBD was significantly linked to an increased risk of sarcoidosis (OR = 1.088, 95% CI: 1.023-1.158, pIBD-sar = 7.498e-03). Similar causal associations were observed in CD (OR = 1.082, 95% CI: 1.028-1.138, pCD-sar = 2.397e-03) and UC (OR = 1.079, 95% CI: 1.006-1.158, pUC-sar = 0.034). Reverse MR analysis revealed that genetic susceptibility to sarcoidosis was correlated with an augmented risk of CD (OR = 1.306, 95% CI: 1.110-1.537, psar-CD = 1.290e-03) but not IBD or UC. The mediation analysis via two-step MR showed that the causal influence of IBD and CD on sarcoidosis effects was partly mediated by PBC, and the mediating effect was 0.018 (95% CI: 0.005-0.031, p = 7.596e-03) with a mediated proportion of 21.397% in IBD, and 0.014 (95% CI: 0.004-0.024, p = 7.800e-03) with a mediated proportion of 17.737% in CD. The MR analysis provided evidence substantiating the causal effect of IBD (CD and UC) on an increased risk of sarcoidosis, with PBC playing a mediating role in IBD and CD. However, sarcoidosis only enhances the risk of developing CD, but not IBD or UC. These findings illuminate the etiology of sarcoidosis and contribute to the management of IBD patients.

Utilization of maternal health care services among pastoralist communities in Marsabit County, Kenya: a cross-sectional survey

BackgroundImproving maternal healthcare services is crucial to achieving the Sustainable Development Goal (SDG-3), which aims to reduce maternal mortality and morbidity. There is a consensus among different researchers that proper utilization of maternal healthcare services can improve the reproductive health of women, and this can be achieved by providing Antenatal Care (ANC) during pregnancy, Health Facility Delivery (HFD), and Postnatal Care (PNC) to all pregnant women. The main aim of this study was to investigate the utilization and factors associated with maternal and child healthcare services among women of reproductive age in the pastoralist communities in Kenya.MethodsA cross-sectional survey was conducted among 180 pastoralist women who gave birth in the past two years across ten mobile villages in Marsabit County between 2nd January and 29th February 2019. Three key outcomes were analyzed, whether they attended ANC 4+ visits, delivered at HF, and received PNC. Pearson χ2 test and multivariate logistic regression analysis were conducted by IBM SPSS27.0 following Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines. The significance level was set at p < 0.05.ResultsOf the 180 eligible pastoralist women (mean age 27.44 ± 5.13 years), 92.2% were illiterate, 93.9% were married, 33.3% were in polygamy, and 14.4% had mobile phones. The median commuting distance was 15.00 (10–74) km, 41.7% attended ANC 4+, 33.3% HFD, and 42.8% PNC. Those women residing close (≤ 15 km) to a health facility had a threefold higher ANC 4+ (OR 3.10, 95% CI 1.47–6.53), 2.8-fold higher HFD (OR 2.80, 95% CI 1.34–5.84), and 2.5-fold higher PNC (OR 2.49, 95% CI 1.19–5.22) probability. The likelihood was 30-fold higher for ANC 4+ (OR 29.88, 95% CI 6.68–133.62), 2.5-fold higher for HFD (OR 2.56, 95% CI 0.99–6.63), and 60-fold higher for PNC (OR 60.46, 95% CI 10.43–350.55) in women with mobile phones. A monogamous marriage meant a fivefold higher ANC 4+ (OR 5.17, 95% CI 1.88–14.23), 1.6-fold higher HFD (OR 1.67, 95% CI 0.77–3.62), and a sevenfold higher PNC (OR 7.05, 95% CI 2.35–21.19) likelihood. Hosmer Lemeshow test indicated a good-fitting model for ANC 4+, HFD, and PNC (p = 0.790, p = 0.441, p = 0.937, respectively).ConclusionIn conclusion, the utilization of three essential maternal health services is low. Geographic proximity, monogamous marriage, and possession of mobile phones were significant predictors. Therefore, it is recommended that stakeholders take the initiative to bring this service closer to the pastoralist community by providing mobile health outreach and health education.

How grit mediates depressive symptoms with life and job satisfaction in full-time employed adults with congenital heart disease

BackgroundTechnological advancements have extended the lifespan of individuals with congenital heart disease (CHD), but physical and mental health issues can affect their life and job satisfaction. AimsThis study examined whether grit can protect full-time employed adults with CHD from depression by exploring its mediating role between depressive symptoms and life or job satisfaction. MethodsA cross-sectional design involved 181 adults with CHD assessed using the Patient Health Questionnaire, Grit-10, Satisfaction with Life Scale, and Basic Psychological Need Satisfaction at Work Scale. Data analysis was conducted with SPSS and Smart PLS software for partial least squares structural equation modeling, adhering to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines. ResultsIndicated that depressive symptoms were negatively correlated with grit, life satisfaction, and job satisfaction, while grit was positively correlated with both satisfaction measures. Grit partially mediated the relationship between depressive symptoms and life/job satisfaction, accounting for 30.70 % and 29.11 % of the variance, respectively. ConclusionsGrit significantly mitigates the negative impact of depressive symptoms on life and job satisfaction in full-time employed adults with CHD. Nurses should identify signs of depression in adults with CHD and evaluate their grit levels. Interventions to increase grit and reduce depressive symptoms could enhance life and job satisfaction.

Physiotherapists' attitudes and beliefs in the management of low back pain: Protocol for a systematic review.

Low back pain (LBP) poses a significant global health burden where a biopsychosocial model of care has been recommended. Physiotherapists (PTs) play a crucial role in LBP management; however, their attitudes and beliefs towards LBP were not reviewed in detail. This systematic review aims to summarise the attitudes and beliefs of PTs towards LBP and the factors influencing them. The review protocol and methods adhere to the PRISMA-P and Meta Analyses and Systematic Reviews for Observational Studies in Epidemiology (MOOSE) guidelines. A comprehensive search of PubMed, Scopus, CINAHL, Web of Science, PEDro and Ovid databases will be conducted to search for cross-sectional studies evaluating PTs' attitudes and beliefs towards LBP. Two reviewers will independently screen the articles, conduct data extraction and assess methodological quality using the Joanna Briggs Institute's critical appraisal tool for prevalence studies. Data synthesis will involve a narrative synthesis of study characteristics, attitudes, beliefs, and methodological quality. If feasible, a meta-analysis will be performed to quantify the pooled effects. Despite the emphasis on biopsychosocial approaches for managing LBP, the adoption of such approaches in physiotherapy practice is still suboptimal, with attitudes and beliefs of PTs being considered an important factor influencing treatment practices. Our review will summarise the literature on attitudes and beliefs of PTs towards LBP. Such knowledge would inform the need for development of additional interventions addressing the attitudes and beliefs that would eventually enhance the update of the biopsychosocial model of care in physiotherapy management of LBP.

Effect analysis of trimethylamine N-oxide and its precursors on susceptibility to pancreatic diseases

To investigate the causal relationship between trimethylamine N-oxide (TMAO) and its precursors (betaine, carnitine, and choline) and pancreatic diseases based on the Mendelian randomization (MR) method. Genome-wide association study data of TMAO, betaine, carnitine, choline, acute pancreatitis (AP), chronic pancreatitis (CP), pancreatic cancer (PC), and circulating immune cell characteristics (white blood cell, lymphocyte, monocyte, neutrophil, eosinophil and basophil) were collected. According to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE)-MR reporting guidelines, the available genetic variants [single nucleotide polymorphism (SNP)] were strictly screened. The causal relationship between exposure (TMAO and its precursors) and outcomes (pancreatic diseases and circulating immune cell characteristics) was evaluated using inverse variance weighting (IVW), MR-Egger regression and weighted median. The reliability of the results was evaluated by sensitivity analysis based on MR-Egger regression, MR-PRESSO, Cochrane's Q test and leave-one-out method. A total of 36 SNP associated with TMAO and its precursors were included. Five of these were associated with TMAO, 13 with betaine, 12 with carnitine, and 6 with choline. (1) MR analysis showed that TMAO may increase the risk of AP [odds ratio (OR) = 1.100, 95% confidence interval (95%CI) was 1.008-1.200, P = 0.032], and choline may reduce the risk of alcoholic acute pancreatitis (AAP; OR = 0.743, 95%CI was 0.585-0.944, P = 0.015). The analysis results of MR-Egger regression and weighted median were consistent with the IVW results. There is no evidence to support a causal relationship between TMAO and its precursors and the risk of CP and PC. Sensitivity analysis indicated that SNP analyzed by MR showed no heterogeneity and low pleiotropy. The leave-one-out method analysis determined that after excluding any SNP, the effect intervals of the remaining SNP on the results were similar to the overall effect intervals, which suggested the robustness of MR results. (2) There was a positive causal relationship between plasma TMAO level and circulating monocyte count (OR = 1.017, 95%CI was 1.000*-1.034, P = 0.048, * represented that the data was obtained by correcting to 3 decimal places from 1.000 1). The causal effect obtained by MR-Egger regression and weighted median analysis was consistent with the results of IVW. Sensitivity analysis illustrated SNP analyzed by MR showed no heterogeneity and pleiotropy. The leave-one-out method analysis determined that after excluding any SNP, the effect intervals of the remaining SNP on the results were similar to the overall effect intervals, which suggested the robustness of MR results. TMAO and choline may change the risk of AP, and TMAO may contribute to the increase of circulating monocyte count in AP.

Perceptions Regarding the Use of E-cigarettes Among Smokers in Saudi Arabia.

Background Adults and young people selectelectronic cigarettes (ECs) due to their perceived lower risk compared to traditional combustible cigarettes. Objective This study aimed to measure the perceptions of the use of electronic cigarettes as a smoking cessation tool among the population of Saudi Arabia. Methods Between October 2023 and November 2023, we conducted a cross-sectional study of Saudi Arabia's general population over prominent social media platforms. We strictly adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines to reportour results. Results Of the 376 total participants, the majority (89.6%) were male, with a median age of 35 years, and 96.3% were of Saudi nationality. Nearly half (47.3%) held Bachelor's degrees. Approximately 55.6% reported having previously attempted to quit smoking on multiple occasions. The predominant method for quitting was the use of ECs, which was reported by 88.7% of the participants. Nearly two-thirds (70%) perceived ECs as an effective cessation tool. Among those who had used EC to quit smoking, 62.5% had succeeded, while one-third (37.5%) were unsuccessful. The most frequently reported side effects were sore throat, changes in appetite, and headache, each of which affected ~50% of the participants. Conclusion This study highlights the complex relationship between ECuse and smoking cessation among Saudi Arabian smokers. Although many users perceive ECs as effective cessation tools, their actual success rates in terms of long-term abstinence from smoking are questionable.

Unveiling the menstrual mind: Exploring proprioceptive proficiency, reaction responsiveness, and motor mastery in premenstrual syndrome versus Non-PMS cohorts: A two-arm parallel non-blinded cross-sectional study

IntroductionPremenstrual syndrome (PMS) is characterized by cyclical physical and mood disturbances during the luteal phase. Symptoms gradually intensify during this phase and typically subside a few days after menstruation begins. PMS encompasses neuromuscular and psychological symptoms that can significantly affect the quality of life of affected females. This study aims to compare proprioception, reaction time, and coordination between females with PMS and those with non-PMS. Material and methodsA cross-sectional study, conducted in accordance with the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines, recruited 998 females with PMS and without PMS, aged 18–40 years based on premenstrual dysphoric disorder criteria. Participants underwent assessments of proprioception and reaction time using the Sensbalance Miniboard. Coordination was assessed using Lower Extremity Motor Coordination Test. Data analysis utilized the Kolmogorov-Smirnov test to determine the normality of the data while Mann Whitney-U test was used to compare the between group differences of the variables. ResultsSignificant differences were observed with p-value <0.05 for all the variables, proprioception (front, back, right and left), reaction time (front, back, right and left), coordination (right and left) between the PMS and non-PMS groups. ConclusionsFemales with PMS were associated with great variation in proprioception, reaction time and coordination when compared with females without PMS.

Mendelian randomization analysis of maternal coffee consumption during pregnancy on offspring neurodevelopmental difficulties in the Norwegian Mother, Father and Child Cohort Study (MoBa).

Previous observational epidemiological studies have suggested that coffee consumption during pregnancy may affect fetal neurodevelopment. However, results are inconsistent and may represent correlational rather than causal relationships. The present study investigated whether maternal coffee consumption was observationally associated and causally related to offspring childhood neurodevelopmental difficulties (NDs) in the Norwegian Mother, Father and Child Cohort Study. The observational relationships between maternal/paternal coffee consumption (before and during pregnancy) and offspring NDs were assessed using linear regression analyses (N = 58694 mother-child duos; N = 22 576 father-child duos). To investigate potential causal relationships, individual-level (N = 46 245 mother-child duos) and two-sample Mendelian randomization (MR) analyses were conducted using genetic variants previously associated with coffee consumption as instrumental variables. We observed positive associations between maternal coffee consumption and offspring difficulties with social-communication/behavioral flexibility, and inattention/hyperactive-impulsive behavior (multiple testing corrected p < 0.005). Paternal coffee consumption (negative control) was not observationally associated with the outcomes. After adjusting for potential confounders (smoking, alcohol, education and income), the maternal associations attenuated to the null. MR analyses suggested that increased maternal coffee consumption was causally associated with social-communication difficulties (individual-level: beta = 0.128, se = 0.043, p = 0.003; two-sample: beta = 0.348, se = 0.141, p = 0.010). However, individual-level MR analyses that modelled potential pleiotropic pathways found the effect diminished (beta = 0.088, se = 0.049, p = 0.071). Individual-level MR analyses yielded similar estimates (heterogeneity p = 0.619) for the causal effect of coffee consumption on social communication difficulties in maternal coffee consumers (beta = 0.153, se = 0.071, p = 0.032) and non-consumers (beta = 0.107, se = 0.134, p = 0.424). Together, our results provide little evidence for a causal effect of maternal coffee consumption on offspring NDs.

P20-02 Developing the SciRAPepi tool for assessment of reliability and relevance of observational epidemiological studies

P20-02 Developing the SciRAPepi tool for assessment of reliability and relevance of observational epidemiological studies

Opioid consumption following foot and ankle surgery: a systematic review

Objective: Systematically review studies characterizing postoperative opioid consumption in patients submitted to foot and anklesurgery to identify trends in opioid consumption among regions of procedures (forefoot, midfoot, hindfoot/ankle) and ultimatelycreate prescribing guidelines that treat patient’s pain adequately while limiting leftover pills. Methods: A systematic review was performed following the Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines. Retrospective and prospective observational cohort studies that reported mean opioid consumption following foot and ankle surgery were included, as well as data from our institution that fit the review’s parameters. Studies that did not report this data or reported patients receiving alternative surgical techniques were excluded. The risk of bias in non-randomized studies – of exposure (ROBINS-E) tool and the Methodological index for non-randomized studies (MINORS) criteria were used to assess bias and study quality, respectively. Results: Three hundred ninety-five articles were identified, and six studies, including our institution’s, met inclusion criteria. Reported data from 2,445 patients were synthesized to show opioid consumption overall, by region of surgery, and by invasiveness of procedure. Four of five studies found significantly higher opioid use postoperatively in patients submitted to hindfoot/ankle surgery, and two of five studies found significantly higher consumption among those submitted to bony foot and ankle surgery. Conclusion: Prescribing physicians must approach foot and ankle patients on a case-by-case basis to ensure adequate pain management while mitigating excess opioid risk. For prescriptions of 5 mg oxycodone pills, we recommend 15-, 20-, and 25-pill prescriptions for patients submitted to forefoot, midfoot, and hindfoot/ankle surgery. Level of Evidence I; Systematic review.

The Relationship Between Moral Sensitivity, Missed Nursing Care and Moral Distress Among New Nurses: A Cross-Sectional Study.

To explore the relationships among moral sensitivity, missed nursing care and moral distress in the context of new nurses in China. A cross-sectional descriptive survey was conducted. A total of 228 new nurses were recruited from three tertiary hospitals in Qingdao, Shandong Province, China. Participants provided their sociodemographic and professional information and completed the Chinese Moral Sensitivity Questionnaire-Revised Version, the Chinese Missed Nursing Care Survey Version and the Chinese Moral Distress Scale-Revised Version. The data were analysed using Spearman's correlation analysis and multiple linear regression analysis. The means and standard errors of moral sensitivity, missed nursing care and moral distress were 40.71 (0.39), 9.82 (0.78) and 34.87 (2.41), respectively. The variable of missed nursing care exhibited a significant negative relationship with moral sensitivity and a significant positive relationship with moral distress. Regression analysis revealed that the main factors influencing new nurses' moral distress were educational background, nature of job, current unit, frequency of night shifts and the dimensions of moral strength and responsibility. These factors can explain 14.9% of the total variation. The findings revealed that higher rates of missed nursing care were associated with lower moral sensitivity and greater moral distress among new nurses. Therefore, developing interventions to reduce missed nursing care may be a promising strategy for improving moral sensitivity and preventing moral distress among new nurses. In hospitals, moral distress can be improved by focusing on modifiable factors such as staffing resources, leading to better promoting new nurses' health and improving the quality of care. This study can highlight practices accounting for moral sensitivity and missed nursing care in nursing research and training programmes. Strengthening the reporting of observational studies in epidemiology (STROBE) statement. No patient or public contribution.

Transforming Health Care Through Chatbots for Medical History-Taking and Future Directions: Comprehensive Systematic Review.

The integration of artificial intelligence and chatbot technology in health care has attracted significant attention due to its potential to improve patient care and streamline history-taking. As artificial intelligence-driven conversational agents, chatbots offer the opportunity to revolutionize history-taking, necessitating a comprehensive examination of their impact on medical practice. This systematic review aims to assess the role, effectiveness, usability, and patient acceptance of chatbots in medical history-taking. It also examines potential challenges and future opportunities for integration into clinical practice. A systematic search included PubMed, Embase, MEDLINE (via Ovid), CENTRAL, Scopus, and Open Science and covered studies through July 2024. The inclusion and exclusion criteria for the studies reviewed were based on the PICOS (participants, interventions, comparators, outcomes, and study design) framework. The population included individuals using health care chatbots for medical history-taking. Interventions focused on chatbots designed to facilitate medical history-taking. The outcomes of interest were the feasibility, acceptance, and usability of chatbot-based medical history-taking. Studies not reporting on these outcomes were excluded. All study designs except conference papers were eligible for inclusion. Only English-language studies were considered. There were no specific restrictions on study duration. Key search terms included "chatbot*," "conversational agent*," "virtual assistant," "artificial intelligence chatbot," "medical history," and "history-taking." The quality of observational studies was classified using the STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) criteria (eg, sample size, design, data collection, and follow-up). The RoB 2 (Risk of Bias) tool assessed areas and the levels of bias in randomized controlled trials (RCTs). The review included 15 observational studies and 3 RCTs and synthesized evidence from different medical fields and populations. Chatbots systematically collect information through targeted queries and data retrieval, improving patient engagement and satisfaction. The results show that chatbots have great potential for history-taking and that the efficiency and accessibility of the health care system can be improved by 24/7 automated data collection. Bias assessments revealed that of the 15 observational studies, 5 (33%) studies were of high quality, 5 (33%) studies were of moderate quality, and 5 (33%) studies were of low quality. Of the RCTs, 2 had a low risk of bias, while 1 had a high risk. This systematic review provides critical insights into the potential benefits and challenges of using chatbots for medical history-taking. The included studies showed that chatbots can increase patient engagement, streamline data collection, and improve health care decision-making. For effective integration into clinical practice, it is crucial to design user-friendly interfaces, ensure robust data security, and maintain empathetic patient-physician interactions. Future research should focus on refining chatbot algorithms, improving their emotional intelligence, and extending their application to different health care settings to realize their full potential in modern medicine. PROSPERO CRD42023410312; www.crd.york.ac.uk/prospero.

Long-term outcomes of infliximab treatment in neuro-Behcet syndrome: A single-center retrospective study.

Behcet's syndrome is a rare inflammatory disorder characterized by oral and genital ulcers, skin lesions, and uveitis. It exhibits a higher prevalence along the historic Silk Road. Neuro-Behcet syndrome (NBS) affects the central nervous system and poses significant morbidity and mortality risks. Infliximab, a TNF-alpha antagonist, has shown potential in NBS management, although the current evidence is mainly derived from case series due to the lack of randomized controlled trials. This retrospective study aimed to evaluate the disease outcomes during the first and second years following infliximab treatment in NBS patients experiencing attacks despite prior conventional immunosuppressive therapy. The study also sought to investigate the safety profile and adverse effects associated with infliximab. Fifty-three NBS patients were examined, with 22 receiving infliximab as either monotherapy or in combination with other therapies. Retrospective analysis was conducted on demographic data, clinical characteristics, and treatment responses. Treatment efficacy was measured using the Expanded Disability Status Scale (EDSS) modified for NBS. The study adhered to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist guidelines. Among the study cohort, 60.4% had parenchymal NBS, and 39.6% had nonparenchymal NBS. Treatment with infliximab resulted in remission or disease stabilization in 95% of patients after one year and 68.7% after 2years. Relapse rates were 4.5% at 1year and 18.7% at 2years, with disease progression observed in two cases. Adverse effects were primarily mild to moderate, with no reports of serious adverse events. Infliximab exhibited efficacy in achieving remission or stabilization in NBS patients, maintaining a favorable safety profile. The timing of infliximab treatment may prevent the accumulation of disability and hinder disease progression. Nonetheless, future prospective studies are necessary to confirm these findings and refine treatment strategies for this complex condition.

Meat products in human nutrition and health – About hazards and risks

Meat processing has a long history and involves a wide and ever-increasing range of chemical and physical processes, resulting in a heterogeneous food category with a wide variability in nutritional value. Despite the known benefits of meat consumption, observational epidemiological studies have shown associations between consumption of red and processed meat - but not white meat - and several non-communicable diseases, with higher relative risks for processed meat compared to unprocessed red meat. This has led global and regional nutrition and health organisations to recommend reducing consumption of unprocessed red meat and avoiding processed meat. A plethora of potentially implicated hazardous compounds present in meat or formed during processing or gastrointestinal digestion have been reported in the literature. However, our mechanistic understanding of the impact of meat consumption on human health is still very incomplete and is complicated by the simultaneous occurrence of multiple hazards and interactions with other food compounds and host factors. This narrative review briefly discusses hazards, risks and their assessment in the context of dietary guidelines. It is argued that more mechanistic studies of the interactive effects of meat products with other foods and food compounds in different dietary contexts are needed to refine and increase the evidence base for dietary guidelines. Importantly, the great diversity in the composition and degree of processing of processed meats should be better understood in terms of their impact on human health in order to develop a more nuanced approach to dietary guidelines for this food category.

Specifying a target trial protocol to estimate the effect of preconception treatment of periodontitis on time-to-pregnancy: A commentary and applied example.

The target trial framework was developed as a strategy to design and analyze observational epidemiologic studies with the aim of reducing bias due to analytic decisions. It involves designing a hypothetical randomized trial to answer a question of interest and systematically considering how to use observational data to emulate each trial component. The primary aim of this paper is to provide a detailed example of the application of the target trial framework to a research question in oral epidemiology. We describe the development of a hypothetical target trial and emulation protocol to evaluate the effect of preconception periodontitis treatment on time-to-pregnancy. We leverage data from Pregnancy Study Online (PRESTO), a preconception cohort, to ground our example in existing observational data. We discuss the decision-making process for each trial component, as well as limitations encountered. Our target trial application revealed data limitations that precluded us from carrying out the proposed emulation. Implications for data quality are discussed and we provide recommendations for researchers interested in conducting trial emulations in the field of oral epidemiology. The target trial framework has the potential to improve the validity of observational research in oral health, when properly applied. We encourage the broad adoption of the target trial framework to the field of observational oral health research and demonstrate its value as a tool to identify directions for future research.

The assessment of care burden and influencing factors on family caregivers for cancer patients.

The family caregivers as primary caregivers play a crucial role regarding the care of cancer patients. As defined in the literature, the care burden encompasses the negative objective and subjective outcomes including psychological and physical health problems, economic and social issues, deterioration of family relationships and feelings of loss of control that arise from caregiving responsibilities. This study aims to assess the care burden and to evaluate the associated factors among family caregivers of cancer patients receiving treatment at a state hospital in Türkiye. This cross-sectional study was conducted with the family caregivers of patients undergoing treatment in the radiation oncology department of a state hospital in Türkiye. The study population consisted of 350 individuals, with a participation rate of 80%. Participants were administered a questionnaire concerning determining daily living activities and identifying the caregiving burden through their socio-demographic characteristics. The care burden among primary family caregivers while the delivery of health services was severe for 85.1% of them. The average ZBI score of caregivers was 55.92 ± 14.58. It was clarified that family caregivers' burden was influenced by several factors, including the duration of caregiving, difficulties experienced while caring for the patient, and the negative impact on their daily roles. Our study's findings indicate the need for health professionals to support caregivers of cancer patients while over half of the caregivers were identified as having a severe level of caregiving burden. It is important to raise awareness among nurses and the oncology team with a holistic approach. In the delivery of health services, caregivers' needs should be identified first, support mechanisms should be activated and interventions should be made to meet these needs. This study's findings highlight the need to identify and problems faced by family members during caregiving. This is important for sustainable and cost-effective holistic care. The results of this study are reported based on the guidelines of The Strengthening the Reporting of Observational Studies (cohort, case-control studies, cross-sectional studies) in Epidemiology (STROBE). Our study's findings indicate the need for health professionals to support caregivers of cancer patients. It is important to raise awareness among nurses and the oncology team with a holistic approach. In the delivery of health services, caregivers' needs should be identified first, support mechanisms should be activated and interventions should be made to meet these needs.

Multiple sclerosis and abnormal spermatozoa: A bidirectional two-sample mendelian randomization study.

Multiple sclerosis (MS) is an autoimmune disease of the central nervous system, and previous observational epidemiological studies have suggested an association between MS and male infertility; male infertility due to sperm abnormalities may result from a number of aetiological factors, such as genetics, autoimmune factors, etc., and there are currently no studies to assess whether MS is associated with sperm abnormalities in men. Therefore, we performed a Mendelian randomization (MR) analysis to assess the causal relationship between MS and abnormal spermatozoa. In this study, independent single nucleotide polymorphisms (SNPs) strongly associated with multiple sclerosis (MS) were identified by mining public genome-wide association study repositories and used as instrumental variables to explore causality. The causal effect of MS on sperm abnormalities was systematically assessed using two-sample Mendelian randomization (MR) techniques, and various analytical models such as inverse variance weighting (IVW), MR-Egger and MR-PRESSO were implemented to dissect the association. In addition, a wide range of sensitivity tests, including Cochran's Q test to detect heterogeneity, MR-Egger intercept analysis to assess bias, leave-one-out to test model robustness, and funnel plot analysis to detect potential publication bias, were implemented to ensure the robustness and reliability of the causal inference results. There was a significant causal relationship between MS and abnormal sperm (OR 1.090, 95% CI [1.017-1.168], p = 0.014); The accuracy and robustness of the results were confirmed by sensitivity analysis. Here we show that there appears to be a causal relationship between multiple sclerosis and abnormal spermatozoa. MS as a chronic disease has a higher risk of concomitant sperm abnormalities in its male patients, and reproductive and fertility issues in men with MS should receive special attention from clinicians.