Diabetes research and clinical practice最新文献

{"title":"Psoriasis and risk of diabetic retinopathy in patients with type 2 diabetes mellitus","authors":"Ming-Pei Yueh ,&nbsp;Shih-Kai Kao ,&nbsp;Jun-Wei Chen ,&nbsp;Jing-Cyuan Huang ,&nbsp;Harn-Shen Chen ,&nbsp;Tzu-En Wu","doi":"10.1016/j.diabres.2025.112912","DOIUrl":"10.1016/j.diabres.2025.112912","url":null,"abstract":"<div><h3>Aims</h3><div>To assess the risk of diabetic retinopathy (DR) among patients with type 2 diabetes mellitus (T2DM) who had a prior diagnosis of psoriasis, compared with those without psoriasis.</div></div><div><h3>Methods</h3><div>This retrospective cohort study utilized the TriNetX database. 85,691 patients with T2DM and comorbid psoriasis and propensity-score matched 85,691 patients with T2DM without psoriasis were analyzed. The primary outcome was the risk of DR. Secondary outcomes included the risks of vision-threatening DR (VTDR), non-proliferative DR (NPDR) and its severity gradations, proliferative DR (PDR), and diabetic macular edema (DME). Cox proportional hazards models were used to estimate hazard ratios (HRs).</div></div><div><h3>Results</h3><div>Psoriasis group had higher risks of DR (HR [95 % CI] = 2.111 [1.871, 2.383]), VTDR (HR [95 % CI] = 2.424 [1.937, 3.034]), NPDR (HR [95 % CI] = 2.152 [(1.854, 2.497)]), mild NPDR (HR [95 % CI] = 2.082 [1.765, 2.457]), moderate NPDR (HR [95 % CI] = 2.848 [2.000, 4.056]), PDR (HR [95 % CI] = 2.622 [1.753, 3.922]), and DME (HR [95 % CI] = 2.312 [1.794, 2.981]), but not severe NPDR.</div></div><div><h3>Conclusions</h3><div>Psoriasis is associated with an increased risk of DR in patients with T2DM, highlighting the need for heightened clinical vigilance regarding DR in patients with T2DM and psoriasis.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"229 ","pages":"Article 112912"},"PeriodicalIF":7.4,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145102575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to \"Automated insulin delivery for safe fasting and exercise during Ramadan in patients with type 1 diabetes: The active fast study\". [DIAB 226 (2025) 112353].","authors":"Khaled Baagar, Hamda Ali, Fateen Ata, Kawsar Mohamud, Najla Al-Naimi, Arwa Alsaud, Hamad Al-Sharshani, Alaa Abd-Alrazaq, Arfan Ahmed, Sarah Aziz, Rawan Al Saad, Dabia Al-Mohanadi","doi":"10.1016/j.diabres.2025.112479","DOIUrl":"https://doi.org/10.1016/j.diabres.2025.112479","url":null,"abstract":"","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":" ","pages":"112479"},"PeriodicalIF":7.4,"publicationDate":"2025-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145085309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond bolus variability: User interaction is the final frontier in automated insulin delivery","authors":"Andrea Enzo Scaramuzza","doi":"10.1016/j.diabres.2025.112902","DOIUrl":"10.1016/j.diabres.2025.112902","url":null,"abstract":"","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"229 ","pages":"Article 112902"},"PeriodicalIF":7.4,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145085330","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Regional, age-specific and sex-specific trends in the prevalence of overweight or obesity in type 1 diabetes from 1980 to 2020: a meta-analysis of 78 observational studies with 650,265 participants","authors":"Yuchen Guo ,&nbsp;Chu Lin ,&nbsp;Xiaoling Cai ,&nbsp;Han Wu,&nbsp;Jingya Yan,&nbsp;Zonglin Li,&nbsp;Ruoyang Jiao,&nbsp;Shuzhen Bai,&nbsp;Wenjia Yang,&nbsp;Fang Lv,&nbsp;Linong Ji","doi":"10.1016/j.diabres.2025.112899","DOIUrl":"10.1016/j.diabres.2025.112899","url":null,"abstract":"<div><h3>Aims</h3><div>To investigate the temporal trends in the overweight or obesity prevalence among people with type 1 diabetes (T1D).</div></div><div><h3>Methods</h3><div>PubMed, Embase, and Cochrane were searched for observational studies reporting the prevalence of overweight or obesity in T1D from the inception to March 2024. The pooled prevalence was calculated in random-effect model.</div></div><div><h3>Results</h3><div>This <em>meta</em>-analysis incorporated 78 studies with 650,265 participants. Among adults with T1D, the prevalence of obesity increased from 3.3% [95%CI:2.1–5.0] during 1985–1990 to 23.7% [95%CI:17.9–30.1] during 2015–2020. The prevalence of overweight exhibited a sustained upward trajectory, reaching 31.4% [95%CI:25.6–37.5] by 2015–2020 for adults with T1D. In children and adolescents with T1D, the prevalence of obesity rose from 6.3% [95%CI:3.8–9.8] to 12.2% [95%CI:7.2–18.3] during 1990–2010, declining modestly to 9.3% [95%CI:6.7–12.4] during 2010–2020. The prevalence of overweight maintained approximately 20% over two decades for children and adolescence with T1D. Obesity prevalence increased in both sexes, and people living in North America might exhibit the highest obesity prevalence across continents.</div></div><div><h3>Conclusions</h3><div>The overweight or obesity prevalence has been increasing in T1D during 1980–2020, which may contribute to the increased risk of the diabetic complications, especially cardiovascular diseases. Weight management may be one of unmet clinical needs for future T1D management.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"229 ","pages":"Article 112899"},"PeriodicalIF":7.4,"publicationDate":"2025-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145074516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A machine learning algorithm for the prediction of complications incorporated in electronic medical records improves type 2 diabetes care","authors":"Antonio Nicolucci ,&nbsp;Giacomo Vespasiani ,&nbsp;Domenico Mannino ,&nbsp;Giuseppina T. Russo ,&nbsp;Giuseppe Lucisano ,&nbsp;Maria Chiara Rossi ,&nbsp;Paola Ponzani ,&nbsp;Salvatore De Cosmo ,&nbsp;Graziano Di Cianni ,&nbsp;Cristina Lencioni ,&nbsp;Luca Romeo ,&nbsp;Michele Bernardini ,&nbsp;Emanuele Frontoni ,&nbsp;Riccardo Candido ,&nbsp;the EGOAL - AMD Annals Study Group","doi":"10.1016/j.diabres.2025.112900","DOIUrl":"10.1016/j.diabres.2025.112900","url":null,"abstract":"<div><h3>Aims</h3><div>Early identification of patients with type 2 diabetes (T2D) at high risk for complications may help reduce clinical inertia and improve care quality. This study assessed the clinical impact of integrating a machine learning-based prediction tool into electronic medical records (EMRs) in Italian diabetes clinics.</div></div><div><h3>Methods</h3><div>A validated algorithm estimating the 5-year risk of six major diabetes complications was embedded in the EMRs of 38 centers. A pre-post comparison over 12 months was conducted between patients whose risk score was generated (test group) and those eligible but not assessed (control group).</div></div><div><h3>Results</h3><div>Among 138,558 eligible patients, 20,314 (14.7 %) had at least one score generated. Compared to controls, test group patients showed significantly greater improvements in HbA1c ≤7.0 % (+9.0 % vs. +4.5 %), LDL-C &lt;70 mg/dL (+27.9 % vs. +20.7 %), and BMI &lt;25 kg/m² (+16.5 % vs. +11.0 %), with larger reductions in HbA1c &gt;8.0 % (–18.4 % vs. –10.1 %). They also more frequently initiated antihypertensive, lipid-lowering, and cardio-renal protective therapies.</div></div><div><h3>Conclusions</h3><div>Embedding an AI-based prediction tool in routine clinical practice improved several quality indicators and therapeutic decisions. Its real-world application shows promise in overcoming clinical inertia and promoting personalized diabetes management.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"229 ","pages":"Article 112900"},"PeriodicalIF":7.4,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145069253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Finnish diabetes risk score (findrisc) for type 2 diabetes screening compared with the oral glucose tolerance test: A systematic review and meta-analysis of diagnostic test accuracy","authors":"Jorge Acosta-Reyes ,&nbsp;Diana Patricia Rodríguez Garrido ,&nbsp;Tania Acosta Vergara ,&nbsp;Pablo Aschner ,&nbsp;Cristina Alejandra Fraga ,&nbsp;Aitana Vazquez-Fernandez ,&nbsp;Jaakko Tuomilehto ,&nbsp;Rafael Gabriel","doi":"10.1016/j.diabres.2025.112480","DOIUrl":"10.1016/j.diabres.2025.112480","url":null,"abstract":"<div><h3>Aims</h3><div>to determine the accuracy of the FINDRISC score compared with the oral glucose tolerance test for the detection of type 2 diabetes (T2D).</div></div><div><h3>Methods</h3><div>This systematic review and meta-analysis involved electronic search in: Embase, Scopus, Medline, WoS, and Cochrane, from inception to November 2024. QUADAS-2 was employed to assess the risk of bias, and the certainty of evidence with the GRADE approach. A bivariate hierarchical random effects model was performed and the sensitivity, specificity, and their 95% confidence intervals (CI) along with the summary ROC curve, were calculated.</div></div><div><h3>Results</h3><div>25 cross-sectional studies and 7 cohort studies were included. The individual FINDRISC cut-off between 9 and 15 points was analysed. The AUC ranged between 0.694 and 0.755, sensitivity between 53.1% (95% CI 38.9–66.8) and 84.7% (95% CI 72.7–92.0), while the false positive rate (FPR) ranged from 21.8% (95% CI 12.9–34.3) to 54.8% (95% CI 38.0–70.5).</div></div><div><h3>Conclusion</h3><div>The FINDRISC scores of 9 and 10 points show the best effectiveness for screening T2D, with moderate and low quality of evidence respectively. Although the cut-off of 12 points has lower sensitivity, it significantly reduces the FPR and increase the specificity with moderate quality of evidence.</div></div><div><h3>Financing</h3><div>Private institutional own resources.</div></div><div><h3>Registration number</h3><div>PROSPERO (CRD42020189768).</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"229 ","pages":"Article 112480"},"PeriodicalIF":7.4,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gestational diabetes mellitus and its impact on maternal and neonatal outcomes in Indigenous populations: a systematic review and meta-analysis","authors":"Thuy Linh Duong ,&nbsp;KM Shahunja ,&nbsp;Minh Le ,&nbsp;David H McIntyre ,&nbsp;James Ward ,&nbsp;Abdullah A Mamun","doi":"10.1016/j.diabres.2025.112462","DOIUrl":"10.1016/j.diabres.2025.112462","url":null,"abstract":"<div><div>This systematic review and <em>meta</em>-analysis examined the association between gestational diabetes mellitus (GDM) and adverse pregnancy outcomes among Indigenous populations globally. Pooled risk ratios were calculated using a random-effects model, and study quality was assessed using the Newcastle-Ottawa Scale and the CONSIDER Statement. Twenty studies from Canada, the United States, and Australia were included. Results showed that GDM was associated with increased caesarean section (risk ratio 1.83, 95% confidence interval 1.63 to 2.06), shoulder dystocia (3.21, 2.94 to 3.50), large for gestational age (2.35, 1.46 to 3.77), macrosomia (1.75, 1.48 to 2.07), preterm birth (1.36, 1.09 to 1.69), and hypoglycaemia (8.17, 4.39 to 15.22), but decreased risk of low birth weight (0.80, 0.69 to 0.91) and small for gestational age (0.44, 0.39 to 0.50). Four studies had low or medium risk of bias, only 25% of the studies reported Indigenous involvement in the research process. These findings show that Indigenous women with GDM are at greater risk of perinatal complications than those without GDM. This underscores the need for timely, intensive clinical management of GDM, delivered within culturally safe models of care, to reduce these inequities. In line with calls for action, prioritizing the early prevention of GDM is essential.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"229 ","pages":"Article 112462"},"PeriodicalIF":7.4,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145063603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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 capsaicin, capsinoids, and pepper-based interventions on lipid profiles in overweight or obese individuals: a systematic review and meta-analysis of randomized controlled trials","authors":"Qiong Yang ,&nbsp;Chu La ,&nbsp;Kousalya Prabahar ,&nbsp;Mohammad Safargar ,&nbsp;Hamed Kord-Varkaneh ,&nbsp;Temuqile ,&nbsp;Yonggui Wu","doi":"10.1016/j.diabres.2025.112478","DOIUrl":"10.1016/j.diabres.2025.112478","url":null,"abstract":"<div><div>The lipid-lowering effects of capsaicin, capsinoids, and pepper-derived products have shown inconsistent results in previous research. This systematic review and meta-analysis aimed to assess their impact on lipid profiles in overweight or obese individuals. A comprehensive search of PubMed, Scopus, Web of Science, and Embase databases was conducted up to August 26, 2025, identifying randomized controlled trials (RCTs) that evaluated these interventions. Data were pooled using random-effects models, and results were reported as weighted mean differences (WMDs) with 95 % confidence intervals (CIs). Twelve RCTs met the inclusion criteria. The meta-analysis showed significant reductions in triglycerides (WMD: –14.29 mg/dL; 95 % CI: –27.01 to –1.58; p = 0.028) and total cholesterol (WMD: –9.97 mg/dL; 95 % CI: –17.41 to –2.52; p = 0.009). However, no significant effects were observed on low-density lipoprotein cholesterol (LDL-C) or high-density lipoprotein cholesterol (HDL-C) levels. Subgroup analyses indicated stronger effects with higher daily doses (≥10 mg), longer intervention periods (≥12 weeks), and among individuals with elevated baseline lipid levels. In conclusion, capsaicin, capsinoids, and pepper-based products significantly reduce total cholesterol and triglyceride levels in overweight or obese individuals, especially when used at higher doses and for extended durations, or in those with initially elevated lipid profiles.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"229 ","pages":"Article 112478"},"PeriodicalIF":7.4,"publicationDate":"2025-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A renal biopsy–anchored multi-marker signature involving AOPEP SNP-driven splicing, miR-27b-3p and glycated albumin for stratifying renal damage in type 2 diabetes","authors":"Francesca Conserva ,&nbsp;Francesco Pesce ,&nbsp;Claudia Cinefra ,&nbsp;Tommaso Maria Marvulli ,&nbsp;Ighli Di Bari ,&nbsp;Alessandra Stasi ,&nbsp;Maria Felicia Faienza ,&nbsp;Michele Rossini ,&nbsp;Adriano Montinaro ,&nbsp;Elena Squiccimarro ,&nbsp;Giorgia Sclavo ,&nbsp;Annalisa Schirinzi ,&nbsp;Francesca Di Serio ,&nbsp;Viji Nair ,&nbsp;Damian Fermin ,&nbsp;Rajasree Menon ,&nbsp;Edgar Otto ,&nbsp;Fabio Sallustio ,&nbsp;Anna Gallone ,&nbsp;Giovanni Stallone ,&nbsp;Paola Pontrelli","doi":"10.1016/j.diabres.2025.112460","DOIUrl":"10.1016/j.diabres.2025.112460","url":null,"abstract":"<div><h3>Aims</h3><div>Stratifying renal damage in type 2 diabetes is challenging due to overlapping features between diabetic nephropathy (DN) and non-diabetic renal disease (NDRD). While miR-27b-3p modulates kidney fibrosis in DN through the lysine63 ubiquitination pathway, its upstream regulation and diagnostic relevance remain unclear.</div></div><div><h3>Methods</h3><div>In a biopsy-verified cohort of 231 chronic kidney disease (CKD) patients with and without type 2 diabetes, we investigated whether AOPEP promoter SNPs drive alternative splicing affecting intronic miR-27b-3p expression. We also assessed the diagnostic utility of combining these biomarkers with clinical parameters, such as glycated albumin (GA), to distinguish DN from NDRD.</div></div><div><h3>Results</h3><div>The rs10761364 minor allele was associated with reduced urinary miR-27b-3p and AOPEP splicing that excluded exons hosting the miR-23b/27b/24 cluster. This pattern, observed in vivo and under hyperglycemia in vitro, led to elevated AOPEP protein isoforms. A model combining rs10761364, GA, and urinary miR-27b-3p showed high diagnostic accuracy (AUC up to 0.93) in discriminating DN from NDRD. miR-27b-3p inversely correlated with GA, and GA-based models outperformed those using HbA1c.</div></div><div><h3>Conclusion</h3><div>We identify a genotype- and glucose-dependent mechanism regulating miR-27b-3p via AOPEP splicing and propose a biopsy-anchored, non-invasive biomarker panel (rs10761364, GA, miR-27b-3p) to differentiate DN from NDRD, supporting personalized nephrology care.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"229 ","pages":"Article 112460"},"PeriodicalIF":7.4,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145039342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of sleep status on lipid profiles and incident type 2 diabetes mellitus: a mediation analysis in a Chinese population cohort","authors":"Wen Li ,&nbsp;Qi Zhao ,&nbsp;Yue Chen ,&nbsp;Genming Zhao ,&nbsp;Chaowei Fu","doi":"10.1016/j.diabres.2025.112475","DOIUrl":"10.1016/j.diabres.2025.112475","url":null,"abstract":"<div><h3>Aims</h3><div>This study aimed to examine the association between sleep status and T2DM incidence, and explore the potential mediating role of lipid profiles.</div></div><div><h3>Methods</h3><div>A cohort study of 69,116 participants aged 20–74 in Shanghai (2016–2019) tracked new T2DM cases until 2024. Sleep status was assessed using the Pittsburgh Sleep Quality Index (PSQI). Cox and logistic regression models evaluated the associations between sleep, lipid profiles, and T2DM. Mediation analysis was conducted to explore the effects of lipid profiles, including triglycerides (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), dyslipidemia, and the Chinese Visceral Adiposity Index (CVAI).</div></div><div><h3>Results</h3><div>Among 49,734 eligible participants, 4,126 new T2DM cases were diagnosed. Poor overall sleep quality (HR: 1.087, 95 % CI: 1.016, 1.162), subjective sleep quality (HR: 1.097, 95 % CI: 1.007, 1.194), and sleep disturbances (HR: 1.118, 95 % CI: 1.038, 1.204) were associated with a higher risk of T2DM. Mediation analysis revealed that dyslipidemia, TC, and CVAI played a major mediating role in the association between sleep disorders and T2DM.</div></div><div><h3>Conclusions</h3><div>Sleep disorders are linked to a higher T2DM risk, with lipid profiles mediating the relationship. Managing lipid metabolism and assessing T2DM risk in those with sleep disorders is key for prevention.</div></div>","PeriodicalId":11249,"journal":{"name":"Diabetes research and clinical practice","volume":"229 ","pages":"Article 112475"},"PeriodicalIF":7.4,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145039374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}