BMC Psychiatry最新文献

{"title":"Depressive disorders: systematic review of approved psychiatric medications (2009-April 2025) and pipeline phase 3 medications.","authors":"Waguih William IsHak, Drew Hirsch, Sabrina Renteria, Jayant Totlani, Nathalie Murphy, Tiffany Chang, Rasha Abdelsalam, Mohamed Salem, Ashley Meyer, Shirley Keerthana, Angela Liu, Lorena Contreras, Emile Tadros, Rebecca Hedrick, Itai Danovitch, Robert N Pechnick","doi":"10.1186/s12888-025-07141-3","DOIUrl":"10.1186/s12888-025-07141-3","url":null,"abstract":"<p><strong>Background: </strong>Depressive disorders remain a significant public health concern, with substantial personal, social, and economic impacts worldwide. The purpose of this systematic review is to examine the psychiatric medications approved by the FDA from 2009 through early 2025, as well as investigational drugs in Phase 3 clinical trials for depressive disorders, with a focus on their mechanisms of action, indications, evidence for efficacy, dosing, and adverse effect profiles.</p><p><strong>Methods: </strong>We conducted a systematic search of the FDALabel Database for FDA-approved medications for depressive disorders, using the criteria: labeling type \"Human Prescription Drug,\" application type \"NDA,\" and \"depression\" or \"major depressive disorder\" under \"Indications and Usage.\" To identify medications in Phase 3 clinical trials or awaiting FDA approval, we searched the US Clinical Trials Registry with filters for condition \"depression\" or \"major depressive disorder,\" trial phase \"Phase III,\" and study dates from 01/01/2009 to 4/1/2025. Additional information on included drugs was obtained via a PubMed literature search.</p><p><strong>Results: </strong>From 2009 through early 2025, the FDA approved 15 medications for depressive disorders, and there are currently 18 pipeline medications in Phase 3 clinical trials. Notable advancements during this period include a large number of approved and Phase 3 antidepressants with mechanisms that deviate from the monoamine hypothesis, particularly those targeting glutamatergic NMDA receptors, GABA-A receptors, and kappa-opioid receptors. Moreover, several antidepressants (approved and in development) function as partial agonists at the 5-HT1A receptor, serotonin-norepinephrine reuptake inhibitors, and previously approved neuroleptics. Of note, every oral antidepressant approved by the FDA during this time is scheduled as once-daily.</p><p><strong>Conclusions: </strong>Our results show numerous FDA approvals of medications for depressive disorders. Phase 3 psychiatric medications for depressive disorders seem to show novel mechanisms of action, modes of administration, and side effects.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"939"},"PeriodicalIF":3.4,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12506068/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145243843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of 5-hydroxytryptamine receptor 2A (HTR2A) gene polymorphisms in treatment-resistant obsessive-compulsive disorder: a comparative study with other treatment-resistant mental disorders.","authors":"Antonio Del Casale, Giovanna Gentile, Jan Francesco Arena, Martina Nicole Modesti, Clarissa Zocchi, Serena Mancino, Ottavia De Luca, Gloria Angeletti, Stefano Ferracuti, Robert Preissner, Maurizio Pompili, Maurizio Simmaco, Marina Borro","doi":"10.1186/s12888-025-07301-5","DOIUrl":"10.1186/s12888-025-07301-5","url":null,"abstract":"<p><strong>Background: </strong>This study investigates the role of genetic variations in the 5-Hydroxytryptamine Receptor 2A (HTR2A) gene in subjects with treatment-resistant obsessive-compulsive disorder (TR-OCD), compared to individuals with other treatment-resistant mental disorders (TRMDs). The goal is to explore whether specific HTR2A polymorphisms contribute to distinguishing TR-OCD from other TRMDs, thereby advancing our understanding of the underlying pathophysiological mechanisms.</p><p><strong>Methods: </strong>A retrospective observational study was conducted with 210 individuals affected by TRMDs (72 with major depressive disorder, 62 with bipolar disorder, 37 with schizophrenia, 30 with OCD, and 9 with other diagnoses). Genetic analyses focused on three HTR2A single nucleotide polymorphisms (SNPs) (rs6314, rs7997012, and rs6311), using next-generation sequencing from blood samples. Chi-square testing and single- and multiple-SNP analyses were employed to study the association between these SNPs and the TR-OCD diagnosis.</p><p><strong>Results: </strong>The analysis revealed that the HTR2A rs7997012 A|A vs. G|G genotype was significantly associated with a higher likelihood of belonging to the TR-OCD group compared to other TRMDs, with an odds ratio of 6.85 (95% CI = 2.44-19.26; p < 0.001). The same genotype, compared to the combined G|G and A|G genotypes, showed a significant association with TR-OCD (OR = 7.68; 95% CI = 2.90-20.34; p < 0.001). Haplotype analyses demonstrated a significant global association between the combined rs6314-rs7997012-rs6311 variants and TR-OCD (p = 0.028). Specifically, the G-G-C haplotype was significantly associated with a reduced likelihood of TR-OCD (OR = 0.32; 95% CI = 0.11-0.93; p = 0.038) compared to the reference haplotype G-G-T.</p><p><strong>Conclusions: </strong>This preliminary study identifies the rs7997012 polymorphism in the HTR2A gene as a potential genetic marker for TR-OCD, distinguishing it from other TRMDs. The study of rs7997012 and other genetic variants within the serotonergic system may enhance our understandings of the biological mechanisms underlying OCD and contribute to the development of precision psychiatry approaches.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"938"},"PeriodicalIF":3.4,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12505755/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145243762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influences on and prevention of self-harm behavior among the most at-risk adolescents: study protocol for the SH-MARA prospective longitudinal cohort study.","authors":"Lana Podnar Sernec, Petra Tomažič, Anja Tomašević Kramer, Barbara Plemeniti Tololeski, Gorjan Tasevski, Žiga Rosenstein, Simona Klemenčič, Tadej Battelino, Blaž Vrhovšek, Tadej Lahovnik, Jernej Kovač, Carla Sharp, Barbara Jenko Bizjan, Sašo Karakatič, Maja Drobnič Radobuljac","doi":"10.1186/s12888-025-07298-x","DOIUrl":"10.1186/s12888-025-07298-x","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Both suicidal and non-suicidal self-injuring behaviors (NSSI) are common during adolescence In Slovenia, adolescent suicide rates are high, making suicide the leading cause of death in the year 2022 in this age group. These behaviors are influenced by a complex interplay of environmental, psychological, and genetic factors. Previous research has identified risk and protective factors mainly for suicidal behavior in adults, a notable gap in understanding these factors in adolescents remains, especially for NSSI. Notably there is an important lack of effective clinical tools or psychometric assessment methods to reliably assess the risk for either suicidal or NSSI behaviors in acutely hospitalized adolescents.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods and analysis: &lt;/strong&gt;The proposed study uses a mixed-method observational design consisting of a prospective longitudinal cohort component involving adolescents hospitalized for high risk of DSH, and a cross-sectional comparison with a control group of healthy adolescents recruited from primary care settings. It is aimed at identifying genetic, psychosocial, and clinical factors associated with suicidal behaviors and NSSI in adolescents. The study group is recruited from adolescents aged 12-19, admitted to the Intensive Child and Adolescent Psychiatry Unit in Ljubljana due to severe self-harm risk. Exclusion criteria include involuntary treatment, acute psychotic disorders, intellectual disability, severe physical or central nervous system illnesses and acute intoxication. The control group comprises adolescents of comparable age, recruited through regular scheduled health check-ups in Slovenia. Exclusion criteria include suicidality, severe mental disorder, a history of self-harm behavior in a first-degree relative, intellectual disability, severe physical or central nervous system illnesses and acute intoxication. Enrollment runs from February 1, 2023, to December 31, 2025. Participation is voluntary, requiring parental or guardian consent for those 14 or younger. Data collection involves psycho-diagnostic tools assessing demographic, psychopathology, personality traits, trauma and traumatic events, and attachment patterns. Genetic analysis of blood samples will be performed using long-read sequencing to detect DNA methylation and bioinformatic tools for further analyses. Various statistical methods will be used to identify factors potentially linked to suicidality and NSSI. Additionally, the utility of a newly developed tool for the assessment of inpatient self-harm risk (Adolescent Self-Harm Risk Scale; ASHRS) will be tested. The efficacy of the proposed scale will be assessed using data on inpatient self-harm episodes, as well as subsequent suicidal and NSSI behavior collected during follow-ups at 6 and 18 months after the initial inpatient assessment. The study has been approved by the National Medical Ethics Committee of the Republic of Slovenia (No: 0120-507/2022/3) and financed ","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"943"},"PeriodicalIF":3.4,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12505741/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145243766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Psychometric properties of the German version of the clinician-administered PTSD scale for DSM-5 (CAPS-5) in routine clinical settings: a multi-trait/multi-method study in civilians and military personnel.","authors":"Jan Christopher Cwik, Jan Spies, Henrik Kessler, Stephan Herpertz, Marcella L Woud, Simon E Blackwell, Gerd Willmund, Peter Zimmermann, Eileen Koch, Vincent Bohnacker, Benjamin Klaer, Ulrich Schnyder, Heinrich Rau, Kai Köhler","doi":"10.1186/s12888-025-07342-w","DOIUrl":"10.1186/s12888-025-07342-w","url":null,"abstract":"<p><strong>Background: </strong>The Clinician-Administered PTSD Scale (CAPS-5) is a structured diagnostic interview developed for diagnosing post-traumatic stress disorder (PTSD). To ensure compliance with PTSD inclusion criteria, an initial study investigated the psychometric properties and factorial structure of the German version of CAPS-5 using data collected previously. The present study's objective was to validate the robustness of the psychometric properties of the German CAPS-5 by assessing its validity within a routine clinical context.</p><p><strong>Methods: </strong>A total of 288 participants were recruited for the study. The validity of the German CAPS-5 was assessed using a multi-trait/multi-method design. Additionally, the study explored internal consistency, test-retest reliability, interrater reliability, and the interview's diagnostic accuracy. Ultimately, a cut-off score was determined through receiver operating characteristics curve (ROC) analyses.</p><p><strong>Results: </strong>The study demonstrated good to excellent internal consistency, test-retest reliability, interrater reliability, construct validity, and diagnostic accuracy for the German CAPS-5. Furthermore, the study established a cut-off score of ≥ 39 for the German CAPS-5 sum score.</p><p><strong>Discussion: </strong>The German CAPS-5 emerged as a structured diagnostic interview exhibiting good to excellent psychometric properties. The findings indicated solid convergent validity of the German CAPS-5; however, further research is warranted to investigate its divergent validity.</p><p><strong>Trial registration: </strong>DRKS00015325 ( https://www.drks.de ; registered on January 10, 2019).</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"935"},"PeriodicalIF":3.4,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12502300/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145243835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine Learning-Based prediction models for postoperative delirium: a systematic review and Meta-Analysis.","authors":"Yingying Tu, Haoyuan Zhu, Xiaozhen Zhang, Shaoyi Huang, Wenyi Tu","doi":"10.1186/s12888-025-07401-2","DOIUrl":"10.1186/s12888-025-07401-2","url":null,"abstract":"<p><strong>Background: </strong>The number of risk prediction models for postoperative delirium(POD) has increased yearly, but their quality and applicability in clinical practice and future research remain unclear.</p><p><strong>Aims: </strong>This systematic review aimed to evaluate published studies on POD risk prediction models, evaluate the diagnostic accuracy of these models, and provide guidance for model establishment and improvement.</p><p><strong>Methods: </strong>We conducted a systematic search in PubMed, Embase, the Cochrane Library, and other scientific databases to identify eligible studies published up to February 15, 2025. The included studies provided data on the sensitivity and specificity of predictive models.</p><p><strong>Results: </strong>We included 17 articles with 69 machine learning (ML) prediction models, encompassing 205,202 individuals who underwent surgerg, among whom 50,899 developed POD (24.8%). The average number of cases per study was 12,070, with the largest study including 163,436 cases. The combined area under the receiver operating characteristic curve (AUROC) for predicting POD, calculated by averaging the AUROC values reported in the studies, was 0.83 [95% CI, 0.79-0.86], with a sensitivity of 0.73 [95% CI, 0.68-0.74] and a specificity of 0.79 [95% CI, 0.74-0.82]. Subgroup analysis revealed that the random forest model exhibited the highest pooled AUROC, reaching 0.89 [95% CI, 0.86-0.92]. Notably, models predicting POD for orthopedic surgeries (AUROC: 0.88 [95% CI, 0.85-0.90]) and patients younger than 60 years (AUROC: 0.84 [95% CI, 0.81-0.87]) demonstrated superior predictive performance. Furthermore, models that underwent only internal validation had lower predictive performance compared to those validated both internally and externally (AUROC: 0.84 [95% CI, 0.81-0.87]). Compared to models developed for European and American populations, those applied to Asian populations performed better (AUROC: 0.85 [95% CI, 0.82-0.88]). Across the included studies, advanced age, preoperative cognitive impairment, comorbidities, anemia, and hypoalbuminemia were the most consistently reported predictors of POD .</p><p><strong>Conclusions: </strong>ML models perform well in predicting the occurrence of POD, with stable performance across various surgical and demographic subgroups.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"940"},"PeriodicalIF":3.4,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12506401/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145243764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating the psychosocial effects of cancer on sleep quality and mental health in elderly populations.","authors":"Yusheng Liu, Zheng Chen, Nanxia Lin, Yu Liu, Xuefeng Jiang","doi":"10.1186/s12888-025-07425-8","DOIUrl":"10.1186/s12888-025-07425-8","url":null,"abstract":"","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"933"},"PeriodicalIF":3.4,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12502483/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145237834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unravelling associations of personality traits, emotion regulation strategies, coping styles, and psychopathology with suicide risk in university students: a network perspective.","authors":"Błażej Misiak, Dorota Frydecka, Monika Szewczuk-Bogusławska","doi":"10.1186/s12888-025-07436-5","DOIUrl":"10.1186/s12888-025-07436-5","url":null,"abstract":"","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"934"},"PeriodicalIF":3.4,"publicationDate":"2025-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12502196/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145237888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Suicidal behaviors among sexual gender-based violence victims in one-stop centers, Northeast Ethiopia.","authors":"Muluken Girma Kebede, Sisay Haile, Kaleab Mesfin Abera, Zelalem Birhan, Mulat Awoke Kassa, Mamaru Melkam, Nigusie Abebaw, Tamrat Anbesaw","doi":"10.1186/s12888-025-07409-8","DOIUrl":"10.1186/s12888-025-07409-8","url":null,"abstract":"","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"931"},"PeriodicalIF":3.4,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12495664/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145224610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sarcopenia and dynapenia are associated with depression rather than anxiety in Chinese hemodialysis patients.","authors":"Xiaoyu Chen, Peipei Han, Zhenwen Liang, Liou Cao, Jing Gao, Ke Ding, Wenzhen Li, Siyi Zhu, Yifan Xue, Qi Guo","doi":"10.1186/s12888-025-07365-3","DOIUrl":"10.1186/s12888-025-07365-3","url":null,"abstract":"<p><strong>Background: </strong>Affective disorders contribute to poorer outcomes in hemodialysis patients. We aimed to investigate the association of depression and anxiety with sarcopenia and dynapenia among patients receiving maintenance hemodialysis.</p><p><strong>Methods: </strong>A total of 1074 patients (676 men, mean aged 61.3 ± 12.6 years) undergoing hemodialysis from 7 facilities in Shanghai of China from 2020 to 2023. Depression was evaluated by the Patient Health Questionnaire-9 (PHQ-9) and anxiety was assessed by the 7-item Generalized Anxiety Disorder Questionnaire (GAD-7). The cut-off values of muscle mass and muscle function to define sarcopenia, dynapenia, and presarcopenia were according to the consensus by the Asia Working Group of Sarcopenia in 2019.</p><p><strong>Results: </strong>Among 1074 participants, 160 (14.9%) had depression, 85(7.9%) had anxiety. Patients were divided into four groups: sarcopenia (n = 211), dynapenia(n = 267), presarcopenia(n = 100), and the robust (n = 496) group. The proportion of depression in the group sarcopenia, dynapenia, presarcopenia and robust were 19.4%, 22.8%, 14.0%, and 8.9% (sarcopenia vs. robust P < 0.001; dynapenia vs. robust P < 0.001; overall p value < 0.001). The proportion of anxiety in the four group were 10.4%, 10.5%, 6.0%, and 5.8%, respectively (overall p value > 0.05). Multivariate analysis revealed that sarcopenia, dynapenia, Malnutrition Inflammation Score (MIS), Charlson Comorbidity Index (CCI) and Fractional clearance index for urea (Kt/V) were significant factors linked to the presence of depression.</p><p><strong>Conclusion: </strong>Our findings suggest that sarcopenia and dynapenia are associated with depression rather than anxiety in hemodialysis patients. Interventions or programs aiming to alleviate sarcopenia or dynapenia can be effective strategies to prevent depression in the hemodialysis population.</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"930"},"PeriodicalIF":3.4,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12495686/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145224646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting sleep disturbance among patients with breast cancer in China through machine learning algorithms-a multi-site survey study.","authors":"Chong Liu, Shu Li, Xiaofang Zhao, Lingfang Ning, Cong Li, Xiaoshi Yang","doi":"10.1186/s12888-025-07424-9","DOIUrl":"10.1186/s12888-025-07424-9","url":null,"abstract":"","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"932"},"PeriodicalIF":3.4,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12495715/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145224658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}