International Health最新文献

{"title":"Prevalence and concentration of aflatoxin M1 in milk and dairy products: an umbrella review of meta-analyses.","authors":"Abdolreza Sotoodeh Jahromi, Mohammad Jokar, Arman Abdous, Mohammad Hasan Rabiee, Farzad Heydari Bahman Biglo, Vahid Rahmanian","doi":"10.1093/inthealth/ihaf002","DOIUrl":"https://doi.org/10.1093/inthealth/ihaf002","url":null,"abstract":"<p><strong>Background: </strong>Aflatoxin M1 (AFM1) is a derivative of aflatoxin B1 and a significant contaminant of milk and dairy products. In this study, we implemented an umbrella review of all existing systematic reviews and meta-analyzing studies to apprise and summarize the worldwide prevalence and level of AFM1 in milk and dairy products.</p><p><strong>Methods: </strong>We conducted a systematic review of structured review and meta-analysis articles published in English until January 2024, with no time limit. Articles were sourced from reputable databases, including PubMed/MEDLINE, EMBASE, Scopus, Web of Science, CINAHL and the Cochrane Database of Systematic Reviews. Relevant studies from Google Scholar were also included.</p><p><strong>Results: </strong>The overall prevalence of AFM1 in all dairy products was 66.2% (95% CI 60.6 to 71.9%), with high heterogeneity (I²=99.7%, Q statistic=2221.03, p<0.0001). The prevalence for specific dairy products was as follows: raw milk, 64.8% (95% CI 60.9 to 68.7%); pasteurized milk, 88.7% (95% CI 81.6 to 95.7%); sterilized milk, 71.0% (95% CI 67.2 to 74.8%); ultra-high temperature processing (UHT) milk, 67.9% (95% CI 64.9 to 70.9%); yogurt, 58.8% (95% CI 42.5 to 75.1%); doogh, 17.2% (95% CI 13.9 to 20.5%); and cheese 49.8% (95% CI 47.8 to 51.9%). The overall mean concentration of AFM1 across all dairy products was 57.22 ng/kg (95% CI 46.95 to 67.49), with significant heterogeneity (I²=99.7%, Q statistic=2221.03, p<0.0001). Mean AFM1 levels (ng/kg) for each dairy product were as follows: raw milk, 52.51 (95% CI 40.96 to 64.05); pasteurized milk, 71.14 (95% CI 48.81 to 93.47); sterilized milk, 60.10 (95% CI 30.90 to 89.30); UHT milk, 82.57 (95% CI 35.30 to 129.85); yogurt, 46.74 (95% CI 24.27 to 69.21); and doogh, 41.60 (95% CI 32.60 to 50.60).</p><p><strong>Conclusions: </strong>In total, these results highlight the importance of increasing the regulation of animal feed, reducing aflatoxin B1 (AFB1) in animal feed, and monitoring AFM1 in dairy products, particularly raw and heated milk.</p>","PeriodicalId":49060,"journal":{"name":"International Health","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143030091","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of addressing the top 10 global causes of death on life expectancy in 2019: a global and regional analysis.","authors":"Fatemeh Shahbazi, Samad Moslehi, Zahra Mirzaei, Younes Mohammadi","doi":"10.1093/inthealth/ihae091","DOIUrl":"https://doi.org/10.1093/inthealth/ihae091","url":null,"abstract":"<p><strong>Background: </strong>The life expectancy (LE) index reflects health changes in society, highlighting trends in health quality and quantity. This study focused on analysing the impact of the top 10 causes of death on the global increase in LE in 2019.</p><p><strong>Methods: </strong>Data on the top 10 causes of death in 2019 were obtained from the Global Burden of Disease website and a period life table was used to assess how eliminating these causes would impact LE.</p><p><strong>Results: </strong>At the global level, eliminating deaths from ischaemic heart disease, stroke, chronic obstructive pulmonary disease, lower respiratory infections, neonatal conditions, lung cancers, Alzheimer's disease, diarrheal diseases, diabetes mellitus and kidney diseases resulted in an increase in LE at birth of 2.44, 1.64, 0.75, 0.80, 4.06, 0.48, 0.36, 0.52, 0.36 and 0.35 y, respectively.</p><p><strong>Conclusions: </strong>The analysis reveals a gender gap in LE influenced by specific causes of death and regional differences. Therefore, public health policies should be customized for each area to target reductions in deaths that significantly improve LE.</p>","PeriodicalId":49060,"journal":{"name":"International Health","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142980506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of an interactive mobile health intervention to improve community-based essential neonatal care practices among postpartum women in northeast Ethiopia: a cluster randomized controlled trial.","authors":"Niguss Cherie, Muluemebet Abera Wordofa, Gurmesa Tura Debelew","doi":"10.1093/inthealth/ihae080","DOIUrl":"https://doi.org/10.1093/inthealth/ihae080","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Despite global declines in child mortality rates, Africa's reduction is lagging behind other regions. Neonatal survival remains a key priority in the sustainable development agenda. Promoting neonatal care practices at the individual and community levels is essential, and technology-based interventions can effectively reach potential future mothers. This study aimed to evaluate the effect of an interactive mobile health intervention on improving community-based essential neonatal care practices among postpartum women in northeast Ethiopia.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;This study was conducted in Dessie and Kombolcha city zones, in northeast Ethiopia. A cluster randomized controlled trial was implemented among 743 participants (376 intervention and 367 control) from 2 January to 15 June 2023. Pregnant women at 30-weeks' gestation in selected clusters were enrolled and followed up to 45 days after childbirth. Data were collected using Open Data Kit and analysed with Stata version 17. Structural equation modelling through confirmatory factor analysis was employed. Model fitness was evaluated using the χ2:degree of freedom ratio, root mean square error of approximation and standardized root mean square residual, indicating a good model fit. Statistical significance was declared at a level &lt;0.05 with a 95% confidence interval.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The study revealed high narrow birth-to-pregnancy intervals of &lt;24 months in both groups (48.5% control, 49.5% intervention). Awareness of neonatal care increased markedly in the intervention group, increasing from 62.0% to 85.9%, compared with an increase from 57.8% to 67.6% in the control group. Disagreement regarding immediate newborn bathing was more prevalent in the intervention group (73.9%) than in the control group (58.9%). Initiating breastfeeding within 1 h after birth was higher in the intervention group (85.4%) compared with the control group (74.4%). Postnatal visits to health facilities were more frequent in the intervention group (79.6%) than in the control group (54.8%). Mobile health intervention (β=0.393, p=0.007) and knowledge of neonatal care (β=0.347, p=0.012) had a significant positive effect on neonatal care practices. There were no significant indirect pathways between the variables analysed. Mobile health intervention and knowledge of neonatal care remain significant predictors with a total effect of β=0.382, p=0.009 and β=0.347, p=0.012, respectively, in enhancing neonatal care practices.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;This study underscores the significant role of mobile health interventions and maternal knowledge in enhancing neonatal care practices. These findings should inform the design and implementation of maternal and child health programs, emphasizing the integration of technology and education to improve neonatal outcomes in resource-limited settings.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Trial registration: &lt;/strong&gt;Protocol Registration and Res","PeriodicalId":49060,"journal":{"name":"International Health","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142957630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Variability of interobserver interpretation of selected helminth ova in the development of a training image set.","authors":"Rupert Stephen Charles S Chua, Kiersten A Henderson, Lorenzo Maria C de Guzman, Vicki Foss, Nathaniel Schub, Cameron Bell, John Robert C Medina, Taggart G Siao, Myra S Mistica, Maria Luz B Belleza, Marie Cris R Modequillo, Nadine Joyce C Torres, Vicente Y Belizario","doi":"10.1093/inthealth/ihae085","DOIUrl":"https://doi.org/10.1093/inthealth/ihae085","url":null,"abstract":"<p><strong>Background: </strong>Diagnosis of soil-transmitted helminthiasis and schistosomiasis for surveillance relies on microscopic detection of ova in Kato-Katz (KK) prepared slides. Artificial intelligence (AI)-based platforms for parasitic eggs may be developed using a robust image set with defined labels by reference microscopists. This study aimed to determine interobserver variability among reference microscopists in identifying parasite ova.</p><p><strong>Methods: </strong>Images of parasite ova taken from KK prepared slides were labelled according to species by two reference microscopists (M1 and M2). A third reference microscopist (M3) labelled images when the first two did not agree. Frequency, percent agreement, κ statistics and variability score (VS) were generated for analysis.</p><p><strong>Results: </strong>M1 and M2 agreed on 89.24% of the labelled images (κ=0.86, p<0.001). M3 had agreement with M1 and M2 (κ=0.30, p<0.001 and κ=0.28, p<0.001), resolving 89.29% of disagreement between them. The labelling of Schistosoma japonicum had the highest VS (κ=0.487, p=0.101) among the targeted ova. Reference microscopists were able to reliably reach consensus in 99.0% of the dataset.</p><p><strong>Conclusions: </strong>Training AI using this image set may provide more objective and reliable readings compared with that of reference microscopists.</p>","PeriodicalId":49060,"journal":{"name":"International Health","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142957128","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The sky's the limit: improving satellite imagery data literacy to address non-communicable diseases.","authors":"M Courtney Hughes, Elizabeth J Folkmann","doi":"10.1093/inthealth/ihae076","DOIUrl":"https://doi.org/10.1093/inthealth/ihae076","url":null,"abstract":"<p><p>Low-and middle-income countries experience 77% of the world's premature deaths caused by non-communicable diseases, and their underlying health determinant data are often scarce and inaccurate. Improving satellite imagery data literacy worldwide is an integral step toward using the vast amount of publicly available data collected via satellites, such as air pollution, green space and light at night-all determinants of non-communicable diseases. Existing machine learning-based algorithms enable automated analysis of satellite imagery data, but health officials and scientists must know where to find and how to apply these algorithms to measure risk and target interventions.</p>","PeriodicalId":49060,"journal":{"name":"International Health","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142957631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Large multimodal models: boon or burden for low- and middle-income countries.","authors":"Rohit Malpani, Keymanthri Moodley","doi":"10.1093/inthealth/ihae073","DOIUrl":"10.1093/inthealth/ihae073","url":null,"abstract":"<p><p>Large multimodal models, a type of generative artificial intelligence (AI), could contribute to wider government efforts to achieve universal health coverage if ethical challenges are proactively addressed during the design and deployment of these AI technologies. The World Health Organization has published new guidance to highlight the risks and benefits of large multimodal models and recommendations to effectively govern this technology.</p>","PeriodicalId":49060,"journal":{"name":"International Health","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142957619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning insights on the effectiveness of non-pharmaceutical interventions against COVID-19 in Nigeria.","authors":"Kolapo M Oyebola, Funmilayo C Ligali, Afolabi J Owoloye, Blessing D Erinwusi, Adesola Z Musa, Oluwagbemiga O Aina, Babatunde L Salako","doi":"10.1093/inthealth/ihae065","DOIUrl":"https://doi.org/10.1093/inthealth/ihae065","url":null,"abstract":"<p><strong>Background: </strong>The lack of effective pharmacological measures during the early phase of the COVID-19 pandemic prompted the implementation of non-pharmaceutical interventions (NPIs) as initial mitigation strategies. The impact of these NPIs on COVID-19 in Nigeria is not well-documented. This study sought to assess the effectiveness of NPIs to support future epidemic responses.</p><p><strong>Methods: </strong>Daily COVID-19 cases and deaths were analysed using smoothed variables to identify transmission trends. Regression analysis and clustering algorithms were applied to evaluate the impact of each NPI.</p><p><strong>Results: </strong>Multiple transmission peaks were reported, with the highest smoothed daily new cases (approximately 1790) observed around 29 December 2021 and smoothed daily new deaths (approximately 23) peaking around 8 September 2021. NPIs such as public transport (coefficient value -166.56, p=0.01) and workplace closures (coefficient value -150.06, p=0.01) strongly correlated with decreased case numbers. This finding highlights the importance of mobility control and non-essential workplace management in slowing infection transmission during an outbreak. Public transport restrictions (coefficient value -2.43, p<0.001) also had a direct effect on death reduction.</p><p><strong>Conclusions: </strong>Public transport restrictions and workplace closures correlated with reductions in the number of cases and deaths. These findings can guide future pandemic responses to enhance favourable public health outcomes.</p>","PeriodicalId":49060,"journal":{"name":"International Health","volume":" ","pages":""},"PeriodicalIF":2.3,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142957629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Individual- and community-level factors associated with the presence of adequate iodized salt in households in Bangladesh: a multilevel modelling approach.","authors":"Iqramul Haq, Md Ismail Hossain, Md Rukonozzaman Rukon, Md Jakaria Habib, Tanha Akther Tithy, Md Amit Hasan, Salma Akter, Md Rayhan Ali Rejvi, M Sheikh Giash Uddin, Md Mizanur Rahman Sarker, Fasil Wagnew, Ashis Talukder","doi":"10.1093/inthealth/ihae016","DOIUrl":"10.1093/inthealth/ihae016","url":null,"abstract":"<p><strong>Background: </strong>The aim of this study is to estimate the factors at both the individual and community levels related to the adequacy of iodized salt in households in Bangladesh.</p><p><strong>Methods: </strong>For this study we utilized the 2019 Multiple Indicator Cluster Survey data. A total of 61 242 households were chosen as samples from Bangladesh. In our study of socio-economic disparities, we applied a concentration indexing method. To identify the factors associated with the adequacy of iodine in salt at both the individual and community levels, we employed multilevel logistic regression. Aside from the multilevel regression used in the study, we also applied spatial analysis.</p><p><strong>Results: </strong>The results indicated that the prevalence of iodine adequacy in household salt was found to be 57.8% (95% confidence interval 57.4 to 58.2). Rural areas have a higher concentration of iodine than urban areas. According to the multilevel model, younger women (adjusted odds ratio [aOR] 0.70), Muslim women (aOR 0.89), illiterate women (aOR 0.80) and those from poor households (aOR 0.33) were found to be less likely to consume iodine in concentrated salt compared with their counterparts. Disabled women and those with low media exposure have a lower likelihood of iodine adequacy in salt compared to their reference group. Furthermore, households in urban areas exhibited higher odds of having iodine adequacy in salt compared with households in rural areas. Barisal, Chattogram, Dhaka, Khulna, Mymensingh, Rajshahi and Rangpur Divisions have lower iodine adequacy in salt compared with Sylhet Division.</p><p><strong>Conclusions: </strong>The findings reveal that religion, physical disability and exposure to media exert an equal influence on the presence of iodized salt intake. Moreover, women's age, wealth status, education level and the educational background of the household head positively contribute to the adequacy of iodine in household salt. In light of these results, policymakers are advised to prioritize efforts aimed at enhancing iodine concentration, with a particular focus on mass media advertising, especially in rural areas (excluding Sylhet Division).</p>","PeriodicalId":49060,"journal":{"name":"International Health","volume":" ","pages":"49-61"},"PeriodicalIF":2.3,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11697178/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139724670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Progress towards the elimination of trachoma in Nigeria.","authors":"Caleb D Mpyet, Nicholas Olobio, Sunday Isiyaku, Teyil Wamyil-Mshelia, Grace Ajege, Christopher Ogoshi, Francisca Olamiju, Ijeoma Achu, Mohammed Dantani Adamu, Nasiru Muhammad, Aliyu Mohammed Jabo, Philomena Orji, Adamani William, Alice Venyir Ramyil, Ana Bakhtiari, Sarah Boyd, Michaela Kelly, Cristina Jimenez, Amir Bedri Kello, Anthony W Solomon, Emma M Harding-Esch, Paul Courtright","doi":"10.1093/inthealth/ihae035","DOIUrl":"10.1093/inthealth/ihae035","url":null,"abstract":"<p><p>Trachoma is targeted for elimination as a public health problem worldwide by 2030. In Nigeria, elimination activities are implemented at the local government area (LGA) level. They started in 2002 by conducting baseline population-based prevalence surveys (PBPSs), which continued in a systematic manner with engagement from the Global Trachoma Mapping Project in 2013, and subsequently Tropical Data. The results led to the development of Nigeria's first trachoma action plan and its subsequent revision with additional information. Following 449 baseline PBPSs, 122 LGAs had an active trachoma prevalence above the elimination threshold, requiring interventions, while 231 LGAs required community-based interventions for trichiasis management. By 2021, >34 million antibiotic treatments had been provided in 104 LGAs, with 89 LGAs eliminating active trachoma. Nationally, water and sanitation coverages increased by 3% and 18%, respectively, in 7 y. Systematic trichiasis case finding and management were carried out in 231 LGAs, resulting in the management of 102 527 people. Fifty-four LGAs decreased trichiasis prevalence unknown to the health system to <0.2% in persons ≥15 y of age. Where this elimination prevalence threshold was reached, trichiasis services were transitioned to routine eye/healthcare systems. Such progress relied on strong leadership and coordination from the national trachoma program and tremendous support provided by partners. Attaining elimination of trachoma as a public health problem in Nigeria by 2030 is feasible if funding support is sustained.</p>","PeriodicalId":49060,"journal":{"name":"International Health","volume":" ","pages":"112-121"},"PeriodicalIF":2.3,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11697179/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141181390","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Essential dataset features in a successful obesity registry: a systematic review.","authors":"Mina Nosrati, Najmeh Seifi, Nafiseh Hosseini, Gordon A Ferns, Khalil Kimiafar, Majid Ghayour-Mobarhan","doi":"10.1093/inthealth/ihae017","DOIUrl":"10.1093/inthealth/ihae017","url":null,"abstract":"<p><strong>Background: </strong>The prevalence of obesity and the diversity of available treatments makes the development of a national obesity registry desirable. To do this, it is essential to design a minimal dataset to meet the needs of a registry. This review aims to identify the essential elements of a successful obesity registry.</p><p><strong>Methods: </strong>We conducted a systematic literature review adhering to the Preferred Reporting Items for Systematic Review and Meta-Analysis recommendations. Google Scholar, Scopus and PubMed databases and Google sites were searched to identify articles containing obesity or overweight registries or datasets of obesity. We included English articles up to January 2023.</p><p><strong>Results: </strong>A total of 82 articles were identified. Data collection of all registries was carried out via a web-based system. According to the included datasets, the important features were as follows: demographics, anthropometrics, medical history, lifestyle assessment, nutritional assessment, weight history, clinical information, medication history, family medical history, prenatal history, quality-of-life assessment and eating disorders.</p><p><strong>Conclusions: </strong>In this study, the essential features in the obesity registry dataset were demographics, anthropometrics, medical history, lifestyle assessment, nutritional assessment, weight history and clinical analysis items.</p>","PeriodicalId":49060,"journal":{"name":"International Health","volume":" ","pages":"8-22"},"PeriodicalIF":2.3,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11697092/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139747656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}