Medicine Advances最新文献

{"title":"Clinical profiles in autism spectrum disorder: Enhancing diagnosis, treatment, and overall health outcomes","authors":"Tielle Machado Cruz","doi":"10.1002/med4.89","DOIUrl":"https://doi.org/10.1002/med4.89","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by significant challenges in communication, behavior, and social interaction. The prevalence of ASD is rising, with current estimates indicating that it affects 1 in 36 children in the United States. Traditional diagnostic methods often fail to capture the full complexity of ASD, leading to incomplete treatment approaches. This study aimed to enhance diagnostic and therapeutic approaches to ASD by identifying and categorizing 10 clinical profiles using precision medicine.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>This study presents a new stratification model for ASD that classifies individuals based on prevalent comorbidities and underlying biological mechanisms. The model is based on a synthesis of existing literature, clinical observations, and expert insights. Data were collected from detailed clinical evaluations, patient histories, and laboratory tests, and the model was refined through iterative analysis. It integrates findings from genetic, neurological, and psychiatric research to develop a comprehensive approach for diagnosing and treating ASD-related comorbidities.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The study proposes 10 clinical profiles of ASD: syndromic, gastrointestinal, metabolic, mitochondrial, endocrine, bioaccumulative, infectious, immunological, inflammatory, and Neurological. Each profile is associated with specific symptoms and comorbidities influenced by genetic, environmental, and biological factors.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>The stratification model proposed in this study enhances the diagnosis and treatment of ASD by recognizing its heterogeneity. By identifying specific clinical profiles, healthcare providers can develop personalized and integrated therapeutic strategies to improve the overall health outcomes of individuals with ASD.</p>\u0000 </section>\u0000 </div>","PeriodicalId":100913,"journal":{"name":"Medicine Advances","volume":"2 4","pages":"384-401"},"PeriodicalIF":0.0,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/med4.89","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143252777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of a local nomogram-based scoring system for predicting overall survival in idiopathic pulmonary fibrosis: A rural appalachian experience","authors":"Rowida Mohamed,&nbsp;Rahul G. Sangani,&nbsp;Khalid M. Kamal,&nbsp;Traci J. LeMaster,&nbsp;Toni Marie Rudisill,&nbsp;Virginia G. Scott,&nbsp;George A. Kelley,&nbsp;Sijin Wen","doi":"10.1002/med4.86","DOIUrl":"https://doi.org/10.1002/med4.86","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Accurate staging systems are essential for assessing the severity of idiopathic pulmonary fibrosis (IPF) and guiding clinical management. This study aimed to evaluate the prognostic value of pulmonary comorbidities and body mass index (BMI) in IPF, develop a nomogram predicting overall survival (OS), and create a nomogram-based survival prediction model.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Patients with IPF were identified from electronic medical records of the West Virginia hospital system. Least Absolute Shrinkage and Selection Operator (LASSO) Cox regression analysis was used for variable selection, and a nomogram was constructed. Risk groups were defined based on the nomogram's probability tertiles. The performance of the nomogram-based model was evaluated using Harrell's concordance index (C-index) and the Hosmer–Lemeshow test.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>The study included 152 patients with IPF. The majority of the patients were elderly, male, and had a BMI above 24 kg/m². The median survival duration was 7.6 years. The survival rates were 91% at 1 year, 78% at 3 years, and 68% at 5 years. LASSO regression selected carbon monoxide lung diffusion capacity percentage predicted (DLco%), BMI, pulmonary hypertension, pulmonary embolism, and sleep apnea as independent predictive variables. The nomogram demonstrated good discrimination (C-index = 0.71) and calibration.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Pulmonary comorbidities and BMI have significant prognostic value in IPF, emphasizing the necessity for consistent screening, assessment, and management of these factors in IPF care. Furthermore, the nomogram-based staging system showed promising performance in predicting OS and represents an actionable staging system that could potentially improve clinical management in IPF. Further validation of the nomogram is warranted to confirm its utility in clinical practice.</p>\u0000 </section>\u0000 </div>","PeriodicalId":100913,"journal":{"name":"Medicine Advances","volume":"2 4","pages":"336-348"},"PeriodicalIF":0.0,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/med4.86","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143252856","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical decision making: Evolving from the hypothetico-deductive model to knowledge-enhanced machine learning","authors":"Han Yuan","doi":"10.1002/med4.83","DOIUrl":"https://doi.org/10.1002/med4.83","url":null,"abstract":"<p>Knowledge-enhanced machine learning can be conceptualized as a fusion of clinical knowledge and domain expertise extracted from traditional clinical decision making methods alongside powerful machine learning architectures. Knowledge-enhanced machine learning significantly improves current machine learning methods in terms of interpretability, generalizability, accuracy, and equity.\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":100913,"journal":{"name":"Medicine Advances","volume":"2 4","pages":"375-379"},"PeriodicalIF":0.0,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/med4.83","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143252667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nodal staging score: A tool to quantify the number of lymph nodes for examination and predict survival in IB–IIA cervical cancer","authors":"Hongrui Qiu,&nbsp;Xingyuan Hu,&nbsp;Qizhi Huang,&nbsp;Yinan Feng,&nbsp;Hongwei Lin,&nbsp;Huili Wang,&nbsp;Zhenyu Huang,&nbsp;Jinhang Leng","doi":"10.1002/med4.84","DOIUrl":"https://doi.org/10.1002/med4.84","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>According to current official guidelines, there is no generally recommended minimum number of lymph nodes examined during surgery for cervical cancer. However, patients with few nodes removed are still common, and the prevalence of nodal invasion may be underestimated because of false-negative findings. In this article, we introduced a statistical tool called the Nodal Staging Score (NSS), which predicts the minimum number of examined lymph nodes to confidently ensure a node-negative status preoperatively.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>Using the beta-binomial model, we analyzed lymph node invasion data for 8789 patients with cervical cancer from the Surveillance, Epidemiology, and End Results database. This analysis quantified the number of lymph nodes that require assessment across various early International Federation of Gynecology and Obstetrics (FIGO) stages. We also performed univariate and multivariate Cox regression analyses to explore the prognostic significance of NSS.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>With an increased number of examined lymph nodes, the probability of missing nodal disease decreased and varied among different FIGO stages. For stages IB1–IIA, the examination of 6, 21, and 33 lymph nodes, respectively, was required to reduce the probability of missing positive nodes (i.e., 1−NSS) to less than 10%. The clinical significance of NSS was verified with prognostic information. Compared with NSS &lt;0.90, NSS ≥0.90 was significantly associated with better overall survival for node-negative patients.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>The NSS is an auxiliary tool that not only enhances the precision of FIGO staging but also provides a statistical basis for postoperative evaluation to inform further clinical decision-making.</p>\u0000 </section>\u0000 </div>","PeriodicalId":100913,"journal":{"name":"Medicine Advances","volume":"2 4","pages":"323-335"},"PeriodicalIF":0.0,"publicationDate":"2024-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/med4.84","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143252635","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Emergence and detection of gastro-enteric virulence genes in non-pathogenic Vibrio cholerae: Implications for public health and water safety in African developmental regions","authors":"Bright Esegbuyota Igere","doi":"10.1002/med4.88","DOIUrl":"https://doi.org/10.1002/med4.88","url":null,"abstract":"&lt;div&gt;\u0000 \u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Background&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Water, an indispensable component of life, has in recent times been associated with the distribution/spread of gastro-enteric diseases especially as safe water is a concern in Southern, Eastern and Western African developmental regions.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Methods&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;This study evaluated the molecular fingerprints of potential gastro-enteric associated virulence genes of 58 somatic antigen non-agglutinating &lt;i&gt;Vibrio cholerae&lt;/i&gt; 1/139 (&lt;i&gt;SA-NAG-Vc-1/139&lt;/i&gt;) strains from domestic water sources. Strains were isolated and characterized applying both culture-based-microbiological techniques and molecular-fingerprinting of target-specific identification genes using simplex/multiplex PCR assay and ERIC-PCR fingerprints.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Results&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;Our study revealed diverse gene-based indices vis &lt;i&gt;T3SS&lt;/i&gt; (29/58, 50.00%), &lt;i&gt;T6SS&lt;/i&gt; (33/58, 56.9%), &lt;i&gt;rtxA&lt;/i&gt; (37/58, 63.79%), &lt;i&gt;rtxC&lt;/i&gt; (12/58, 20.69%), &lt;i&gt;NAG-stn/sto&lt;/i&gt; (13/58, 22.41%), &lt;i&gt;prtV&lt;/i&gt; (17/58, 29.31%), &lt;i&gt;hlyA&lt;/i&gt; (41/58, 70.69%), &lt;i&gt;nanH&lt;/i&gt; (40/58, 68.97%), &lt;i&gt;mshA&lt;/i&gt; (44/58, 75.86%), &lt;i&gt;chxA&lt;/i&gt; (37/58, 63.79%), &lt;i&gt;hapA&lt;/i&gt; (17/58, 29.31%), &lt;i&gt;ace&lt;/i&gt; (22/58, 37.93%), and &lt;i&gt;cep&lt;/i&gt; (20/58, 34.48%) etc. Such results show that 53.45% (31/58) of isolates harboured more than three virulence associated genes while &lt;i&gt;nanH&lt;/i&gt;, &lt;i&gt;mshA&lt;/i&gt;, &lt;i&gt;chxA&lt;/i&gt;, &lt;i&gt;T6SS&lt;/i&gt;, &lt;i&gt;T3SS&lt;/i&gt;, &lt;i&gt;rtxA&lt;/i&gt;, &lt;i&gt;hlyA&lt;/i&gt;, &lt;i&gt;mshA&lt;/i&gt;, &lt;i&gt;chxA&lt;/i&gt;, &lt;i&gt;ace&lt;/i&gt; and &lt;i&gt;cep&lt;/i&gt; fingerprints were detected predominantly with corresponding ilea-loop test positive strains. ERIC-PCR also showed multiple target specific repetitive intergenic consensus sequence regions ranging from 2 to 8.&lt;/p&gt;\u0000 &lt;/section&gt;\u0000 \u0000 &lt;section&gt;\u0000 \u0000 &lt;h3&gt; Conclusions&lt;/h3&gt;\u0000 \u0000 &lt;p&gt;This is an indication that the previously known non-pathogenic strains now harbour potential gastro-enteric virulence which may be controlled by more than one virulent gene dynamics. It also suggests a current potential shift in the virulence dynamics of &lt;i&gt;V&lt;/i&gt;. &lt;i&gt;cholerae&lt;/i&gt; strains recovered from the study area and a re-evaluated view of the previously non-pathogenic &lt;i&gt;V&lt;/i&gt;. &lt;i&gt;cholerae&lt;/i&gt; strains. Furthermore, the presence of such genes in &lt;i&gt;SA-NAG-Vc-1/139&lt;/i&gt; strains indicates a potential public health related concern. Although these detected potential gastro-enteric associated genes may be implicated in sporadic gastroenteritis, our result has re-emphasized their probable public health concern as they may be involved in both endemic and severe gastroenteritis cases, which suggests the need f","PeriodicalId":100913,"journal":{"name":"Medicine Advances","volume":"2 4","pages":"361-374"},"PeriodicalIF":0.0,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/med4.88","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143252223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep-HH: A deep learning-based high school student hidden hunger risk prediction system","authors":"Yang Yang,&nbsp;Zheng Zhang,&nbsp;Huake Cao,&nbsp;Yuchen Zhang,&nbsp;Minao Wang,&nbsp;Ning Zhang","doi":"10.1002/med4.87","DOIUrl":"https://doi.org/10.1002/med4.87","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Hidden hunger (HH) refers to the deficiency of certain micronutrients. Current research suggests that approximately 70% of chronic diseases are linked to HH, which significantly affects public health. Consequently, there is an urgent need for an effective method to assess the risk of HH. This study aims to develop risk prediction models for HH using machine learning (ML).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We conducted a questionnaire survey among 9336 high school students in 11 cities within Anhui Province and assessed their HH risk using a scale. After quality control, we designated 632 students from Xuancheng City as the external test cohort and used the remaining 6477 students as the training cohort to develop predictive models. We used six ML algorithms (i.e., deep-learning neural network [DNN], random forest, support vector machine, extreme gradient boosting, gradient boosting decision tree, and <i>k</i>-nearest neighbor) to fit the training set using five-fold cross-validation, with hyperparameter tuning performed via Bayesian optimization. We used the “Streamlit” library to construct an online application and the “shapley additive explanations” library for model interpretability analysis.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>We observed that the DNN model performed best. In the external test cohort, the area under the curve reached 0.813, accuracy was 0.739, and sensitivity and specificity were 0.720 and 0.760, respectively. Furthermore, the precision-recall curve, calibration curve, and decision curve analysis also indicated that our model had high predictive accuracy. To aid practical use, we developed an online application (http://sec.mitusml.com:9000/). Through model interpretability analysis, we discovered that the frequent consumption of fruits and coarse grains was likely to reduce the risk of HH, whereas frequently eating snacks and fried foods increased the risk of HH.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>We developed an effective prediction model for HH and analyzed the factors that influence its risk.</p>\u0000 </section>\u0000 </div>","PeriodicalId":100913,"journal":{"name":"Medicine Advances","volume":"2 4","pages":"349-360"},"PeriodicalIF":0.0,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/med4.87","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143252224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The roadblocks to AI adoption in surgery: Data, real-time applications and ethics","authors":"Tiago Cunha Reis","doi":"10.1002/med4.82","DOIUrl":"https://doi.org/10.1002/med4.82","url":null,"abstract":"<p>This paper explores the critical barriers to AI integration in surgery, focusing on challenges in data management, real-time application and ethics. It emphasizes the need for robust data-sharing frameworks, advancements in real-time processing capabilities and ethical guidelines to ensure responsible AI deployment.\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":100913,"journal":{"name":"Medicine Advances","volume":"2 4","pages":"380-383"},"PeriodicalIF":0.0,"publicationDate":"2024-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/med4.82","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143248961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to A prospective, randomized, multicenter, open-label trial comparing survival in subjects receiving peritoneal dialysis or conventional in-center hemodialysis","authors":"","doi":"10.1002/med4.80","DOIUrl":"https://doi.org/10.1002/med4.80","url":null,"abstract":"<p>Fan L, Yang X, Shen H, Chen M, Zhang H, Ni Z, et al. A prospective, randomized, multicenter, open-label trial comparing survival in subjects receiving peritoneal dialysis or conventional in-center hemodialysis. <i>Med Adv</i>. 2024; 2(2):112–22. https://doi.org/10.1002/med4.56.</p><p>In the ACKNOWLEDGMENTS section, the text “The authors thank Han Tao from Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University for English editing of the manuscript. The study was funded by Baxter Healthcare Corporation and designed by the sponsor and investigators. The funder had no role in study execution, data collection, data analysis, data interpretation, writing of the report, or the decision to submit the report for publication. Xueqing Yu has received grant/research support from the National Natural Science Foundation of China, Baxter, Wanbang Biopharmaceuticals, AstraZeneca, and GSK as well as consulting and lecture fees from Baxter, Wanbang Biopharmaceuticals, Fresenius, Fresenius Kabi, and Kyowa Kirin.” was incorrect. This should have read: “The authors thank Han Tao from Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University for English editing of the manuscript.”</p><p>In the CONFLICT OF INTEREST STATEMENT section, the text “The authors declare no conflicts of interest. Xueqing Yu, Jie Li, Chuanming Hao, Hongli Lin and Xia Zhou are Editorial Board Members/Editors-in-Chief for Medicine Advances but were not involved in the editorial review or decision to publish this article.” was incorrect. This should have read: “The study was funded by Baxter Healthcare Corporation and designed by the sponsor and investigators. The funder had no role in study execution, data collection, data analysis, data interpretation, writing of the report, or the decision to submit the report for publication. Xueqing Yu has received grant/research support from the National Natural Science Foundation of China, Baxter, Wanbang Biopharmaceuticals, AstraZeneca, and GSK as well as consulting and lecture fees from Baxter, Wanbang Biopharmaceuticals, Fresenius, Fresenius Kabi, and Kyowa Kirin. All other authors declare no relevant financial interests. Xueqing Yu, Jie Li, Chuanming Hao, Hongli Lin and Xia Zhou are Editorial Board Members/Editors-in-Chief for Medicine Advances but were not involved in the editorial review or decision to publish this article.”</p><p>In the 2.1 Study design, the detailed information about the Trial Registration. The missing information should have read as follows: “Registered at ClinicalTrials.gov with study number NCT01413074.”</p><p>We apologize for the error.</p>","PeriodicalId":100913,"journal":{"name":"Medicine Advances","volume":"2 4","pages":"402"},"PeriodicalIF":0.0,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/med4.80","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143253724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to Treatment of lumbar intervertebral disc herniation using open spinal endoscopy: Techniques and clinical outcomes","authors":"","doi":"10.1002/med4.81","DOIUrl":"https://doi.org/10.1002/med4.81","url":null,"abstract":"<p>Yu B, Zheng J. Treatment of lumbar intervertebral disc herniation using open spinal endoscopy: techniques and clinical outcomes. <i>Med Adv</i>. 2024; 2(2):186–94. https://doi.org/10.1002/med4.63</p><p>In the INFORMED CONSENT section, the text “Not applicable.” was incorrect. This should have read: “Signed informed consent was obtained from all participants.”</p><p>We apologize for this error.</p>","PeriodicalId":100913,"journal":{"name":"Medicine Advances","volume":"2 4","pages":"403"},"PeriodicalIF":0.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/med4.81","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143253755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prognostic significance of ratio of positive lymph nodes in patients with operable major salivary ductal carcinoma","authors":"Di Zhang,&nbsp;Lixi Li","doi":"10.1002/med4.79","DOIUrl":"https://doi.org/10.1002/med4.79","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>Major salivary duct carcinomas (MSDCs) often involve the regional lymph nodes (LNs). However, the clinical value of LN parameters in patients with MSDCs is unclear. We aimed to investigate the optimal cut-off points for number of positive LNs (PLNN) and ratio of positive LNs (PLNRs) and their prognostic value in patients with MSDC.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Study Design</h3>\u0000 \u0000 <p>Retrospective cohort.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We retrospectively reviewed relevant data extracted from the Surveillance, Epidemiology, and End Results database on patients with MSDC who had undergone surgery between 2004 and 2016. The optimal PLNN and positive lymph node ratio (PLNR) cut-off points were identified using the X-tile program. Kaplan–Meier and Cox regression analyses were performed to determine prognostic factors.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Overall, 290 patients were enrolled, 57.6% of whom had LN metastases. Advanced T stage in the submandibular gland and unpaired lesions were associated with LN involvement. Positive LNs, late T stage, and submandibular gland location were associated with poor overall survival (OS). The 5-year OS rates of patients with negative and positive LNs were 74.3% and 36.5%, respectively. PLNN &gt; 16 and PLNR &gt; 0.48 were the best cut-off points. The 5-year OS of patients with PLNN ≤ 16 and PLNN &gt; 16 was 42.8% and 15.4%, respectively. The 5-year OS rates were 46.8% for patients with PLNR ≤ 0.48 and 26.3% for patients with PLNR &gt; 0.48. PLNR was a strong prognostic factor for patients with MSDC with LN metastases.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>PLNR reflects both the effects of LN dissection and PLNN. Furthermore, its prognostic value in patients with MSDC exceeds that of PLNN. Patients with high PLNRs should be followed closely after surgery.</p>\u0000 </section>\u0000 </div>","PeriodicalId":100913,"journal":{"name":"Medicine Advances","volume":"2 3","pages":"291-301"},"PeriodicalIF":0.0,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/med4.79","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142430095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}