Biomarkers in medicine最新文献_第8页

The predictive role of albumin, neutrophil-to-lymphocyte ratio, and systemic immune inflammation index in pressure ulcer risk among palliative care patients- a retrospective analysis. 白蛋白、中性粒细胞与淋巴细胞比值和全身免疫炎症指数在姑息治疗患者压疮风险中的预测作用——一项回顾性分析

IF 2.1 4区医学

Biomarkers in medicine Pub Date : 2026-03-01 Epub Date: 2026-03-05 DOI: 10.1080/17520363.2026.2641466

Gozde Cingiz, Berkay Temel

{"title":"The predictive role of albumin, neutrophil-to-lymphocyte ratio, and systemic immune inflammation index in pressure ulcer risk among palliative care patients- a retrospective analysis.","authors":"Gozde Cingiz, Berkay Temel","doi":"10.1080/17520363.2026.2641466","DOIUrl":"10.1080/17520363.2026.2641466","url":null,"abstract":"Introduction: Pressure ulcers (PUs) are a major concern in palliative care due to patients' immobility and multiple comorbidities. Early identification of at-risk individuals is essential for prevention. Hematological markers such as neutrophil-to-lymphocyte ratio (NLR) and systemic immune-inflammation index (SII) may assist in risk prediction. Objectives: This study aimed to evaluate the predictive value of inflammatory markers for PU development in palliative care patients retrospectively.Methods: Adult patients hospitalized in a palliative care unit for at least three months and free of PUs at admission were included. They were categorized into two groups: those who developed PUs during follow-up (wPU) and those who did not (woPU). Demographic, clinical, and laboratory variables were compared.Results: A total of 82 patients (mean age: 78.6 ± 11 years) were analyzed. No significant differences were found between groups in terms of age, sex, Charlson Comorbidity Index, or Braden score. The wPU group had significantly lower serum albumin (p = 0.004), and higher NLR (p = 0.04) and SII (p = 0.04) levels.Conclusion: Hypoalbuminemia and elevated NLR independently predict PU development in palliative care, highlighting the importance of nutritional and inflammatory status. Albumin, NLR, and SII had only moderate accuracy but may provide supportive value when combined with clinical risk tools.","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"207-212"},"PeriodicalIF":2.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13007392/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147353883","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}

引用次数: 0

The CALLY index: an immuno-inflammatory and nutritional index for predicting contrast induced nephropathy in patients with non-ST-elevation myocardial infarction. CALLY指数：预测非st段抬高型心肌梗死患者造影剂肾病的免疫炎症和营养指标。

IF 2.1 4区医学

Biomarkers in medicine Pub Date : 2026-03-01 Epub Date: 2026-03-10 DOI: 10.1080/17520363.2026.2641473

Murat Gul, Muhammet Salih Ates, Erdogan Sokmen, Sinan Inci

{"title":"The CALLY index: an immuno-inflammatory and nutritional index for predicting contrast induced nephropathy in patients with non-ST-elevation myocardial infarction.","authors":"Murat Gul, Muhammet Salih Ates, Erdogan Sokmen, Sinan Inci","doi":"10.1080/17520363.2026.2641473","DOIUrl":"10.1080/17520363.2026.2641473","url":null,"abstract":"Background: The C-reactive protein-albumin-lymphocyte (CALLY) index integrates inflammation, nutrition, and immunity. Its value for predicting contrast-induced nephropathy (CIN) after percutaneous coronary intervention (PCI) is uncertain. We examined whether CALLY predicts CIN in non-ST-elevation myocardial infarction (NSTEMI).Methods: A total of 199 consecutive patients with NSTEMI who underwent PCI were retrospectively analyzed. Independent predictors were identified by multivariable logistic regression; discriminative performance was evaluated with receiver-operating characteristic (ROC) analysis.Results: CIN occurred in 32 patients (16.1%). Patients with CIN had lower CALLY values [0.49 (0.05-1.71) vs. 1.79 (0.51-4.06); p < 0.001], lower HDL-cholesterol, higher baseline creatinine, and lower estimated glomerular filtration rate. In multivariable models, CALLY independently predicted lower CIN risk (odds ratio [OR] 0.781; 95% confidence interval [CI] 0.625-0.977; p = 0.031) alongside baseline creatinine (OR 6.002; 95% CI 1.196-30.123; p = 0.029) and HDL-cholesterol (OR 0.945; 95% CI 0.900-0.993; p = 0.024). CALLY showed moderate discrimination (AUC 0.697; p < 0.001); the optimal cutoff was 1.1074 (sensitivity 61.1%, specificity 62.5%).Conclusion: A lower CALLY index is independently associated with an increased risk of CIN in NSTEMI patients undergoing PCI. The CALLY index may serve as a tool for early risk stratification and targeted preventive strategies in this high-risk population.","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"213-222"},"PeriodicalIF":2.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13007422/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147389425","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}

引用次数: 0

Advancing prostate cancer care through AI-driven multi-omics and biomarker-based strategies. 通过人工智能驱动的多组学和基于生物标志物的策略推进前列腺癌治疗。

IF 2.1 4区医学

Biomarkers in medicine Pub Date : 2026-02-24 DOI: 10.1080/17520363.2026.2634063

Ishita Debnath, Moumita Kundu

引用次数: 0

From bench to bedside: the next frontier for biomarkers in COPD precision medicine. 从实验室到床边：COPD精准医学中生物标志物的下一个前沿。

IF 2.1 4区医学

Biomarkers in medicine Pub Date : 2026-02-01 Epub Date: 2026-01-26 DOI: 10.1080/17520363.2026.2622047

Maneesh Gaddam, Dedeepya Gullapalli, Muhammad Adrish

引用次数: 0

C-reactive protein to albumin ratio predicts future volume overload in peritoneal dialysis patients: a retrospective cohort study. c反应蛋白与白蛋白比率预测腹膜透析患者未来容量超载：一项回顾性队列研究。

IF 2.1 4区医学

Biomarkers in medicine Pub Date : 2026-02-01 Epub Date: 2026-02-23 DOI: 10.1080/17520363.2026.2634065

Tianlei Chen, Feixia Liu, Yun Zou, Min Yang

{"title":"C-reactive protein to albumin ratio predicts future volume overload in peritoneal dialysis patients: a retrospective cohort study.","authors":"Tianlei Chen, Feixia Liu, Yun Zou, Min Yang","doi":"10.1080/17520363.2026.2634065","DOIUrl":"10.1080/17520363.2026.2634065","url":null,"abstract":"Aims: To evaluate the predictive value of the C-reactive protein to albumin ratio (CAR) for 6-month volume overload in peritoneal dialysis (PD) patients.Methods: Retrospective cohort study of 167 stable PD patients without baseline volume overload. CAR was measured at enrollment; volume status was reassessed via bioelectrical impedance analysis (BIA) at 6 months. Multivariate logistic regression, ROC, and restricted cubic spline (RCS) analyses were used.Results: During follow-up, 64 patients (38.3%) developed volume overload. These patients had significantly higher baseline CAR levels (p < 0.001). Multivariate analysis identified diabetes (OR = 11.85) and baseline CAR (OR = 9.72) as independent predictors. The AUC for CAR predicting volume overload was 0.73, which is superior to that of CRP or albumin alone. An optimal CAR cutoff of 1.09 yielded 73.2% sensitivity and 60.7% specificity. RCS analysis indicated a linear dose-response relationship between CAR and volume overload risk (P for non-linearity = 0.501).Conclusion: Baseline CAR is a simple, low-cost biomarker for predicting 6-month volume overload in PD patients, valuable for risk stratification in resource-limited settings.","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"191-198"},"PeriodicalIF":2.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12947583/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147269866","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}

引用次数: 0

Preprocedural neutrophil-to-albumin ratio predicts survival in patients undergoing tunneled hemodialysis catheter. 手术前中性粒细胞与白蛋白比值预测隧道式血液透析导管患者的生存。

IF 2.1 4区医学

Biomarkers in medicine Pub Date : 2026-02-01 Epub Date: 2026-02-06 DOI: 10.1080/17520363.2026.2626440

Ömer Faruk Rahman, Fevzi Ayyıldız, Selim Durmaz, Cüneyt Akgöl

{"title":"Preprocedural neutrophil-to-albumin ratio predicts survival in patients undergoing tunneled hemodialysis catheter.","authors":"Ömer Faruk Rahman, Fevzi Ayyıldız, Selim Durmaz, Cüneyt Akgöl","doi":"10.1080/17520363.2026.2626440","DOIUrl":"10.1080/17520363.2026.2626440","url":null,"abstract":"Aim: This study aimed to evaluate the impact of preprocedural neutrophil-to-albumin ratio (NAR) on survival among patients undergoing tunneled hemodialysis catheter (THC) placement.Methods: We retrospectively reviewed 60 consecutive patients who underwent right-internal-jugular THC placement between July 2021 and October 2023. Demographics, laboratory variables and survival were collected. NAR and neutrophil-percentage-to-albumin ratio (NPAR) were calculated. Cox regression and Kaplan - Meier analyses explored associations with mortality; receiver-operating-characteristic (ROC) curves defined optimal cutoffs.Results: Mean age was 70 ± 12 years; 24 patients (40%) died, yielding one-year survival of 62.5%. On multivariate Cox regression analysis, after adjustment for all covariates, higher NAR remained an independent predictor of mortality (p <0.001), together with older age and coronary artery disease. The ROC-derived NAR threshold of 175.4 produced an AUC of 0.813 (95% CI: 0.683-0.942). Patients with NAR >175.4 had markedly lower one-year survival than those below the threshold (30.2% vs 88.2%, p <0.001). Catheter patency at one year was 84.8%.Conclusion: Among patients receiving a tunneled hemodialysis catheter, elevated preprocedural NAR levels were associated with increased mortality. NAR, which is an easily and routinely measurable parameter, may serve as a prognostic biomarker in this patient population.","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"149-157"},"PeriodicalIF":2.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12947559/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146123831","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}

引用次数: 0

Prognostic value of CCDC18-AS1 in gastric cancer and its regulatory effect on tumor progression. CCDC18-AS1在胃癌中的预后价值及其对肿瘤进展的调控作用。

IF 2.1 4区医学

Biomarkers in medicine Pub Date : 2026-02-01 Epub Date: 2026-02-10 DOI: 10.1080/17520363.2026.2626438

Limei Li, Li Yang, XinRong Pei, Enge Dong, Fei Rong, Ruizhi Fan

{"title":"Prognostic value of CCDC18-AS1 in gastric cancer and its regulatory effect on tumor progression.","authors":"Limei Li, Li Yang, XinRong Pei, Enge Dong, Fei Rong, Ruizhi Fan","doi":"10.1080/17520363.2026.2626438","DOIUrl":"10.1080/17520363.2026.2626438","url":null,"abstract":"Background: Gastric cancer (GC) is a globally prevalent malignancy with high mortality. Long non-coding RNA CCDC18-AS1 is implicated in GC progression, yet its interaction with miR-214-3p and functional mechanisms remain unclear.Methods: Using samples from 128 GC patients, CCDC18-AS1 and miR-214-3p levels were quantified via quantitative real-time polymerase chain reaction. Kaplan-Meier and Cox regression analyzed prognosis. Dual-luciferase reporter assay and RNA immunoprecipitation assays validated their binding. Functional impacts of CCDC18-AS1 knockdown on proliferation, migration, and invasion were evaluated using Cell Counting Kit-8 and Transwell assays. Western blotting analyzed apoptosis and cell cycle-related protein changes.Results: CCDC18-AS1 was upregulated, while miR-214-3p was downregulated in GC. High CCDC18-AS1 correlated with poor survival and was an independent prognostic risk factor. CCDC18-AS1 was directly bound to miR-214-3p and inhibited miR-214-3p. Knockdown of CCDC18-AS1 increased miR-214-3p and suppressed proliferation, migration, and invasion. It also upregulated Bax and P21 while downregulating Bcl-2 and Cyclin B1, effects reversed by inhibiting miR-214-3p.Conclusion: CCDC18-AS1 is overexpressed in GC and independently predicts poor prognosis. It promotes GC progression by targeting miR-214-3p, thereby regulating key oncogenic processes.","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"159-169"},"PeriodicalIF":2.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12947563/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146149098","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}

引用次数: 0

Changes in serum SAA and PCT levels in patients with sepsis associated acute kidney injury and their relationship with renal function outcomes. 脓毒症相关急性肾损伤患者血清SAA和PCT水平的变化及其与肾功能预后的关系

IF 2.1 4区医学

Biomarkers in medicine Pub Date : 2026-02-01 Epub Date: 2026-02-09 DOI: 10.1080/17520363.2026.2625206

Haicong Huang, Haichuan Fang

{"title":"Changes in serum SAA and PCT levels in patients with sepsis associated acute kidney injury and their relationship with renal function outcomes.","authors":"Haicong Huang, Haichuan Fang","doi":"10.1080/17520363.2026.2625206","DOIUrl":"10.1080/17520363.2026.2625206","url":null,"abstract":"Aim: To investigate the dynamics of serum amyloid A (SAA) and procalcitonin (PCT) in sepsis-associated acute kidney injury (SAKI) and to evaluate their prognostic value for renal outcomes.Methods: 159 Emergency Intensive Care Unit (EICU) patients with SAKI were enrolled. Serum SAA and PCT levels were measured on days 1, 3, 5, and 7 after enrollment. Patients were stratified by 28d renal recovery status. Associations with renal outcomes and predictive performance were examined using Pearson correlation, multivariable logistic regression and receiver operating characteristic (ROC) curve analysis.Results: Non-recovery was associated with higher baseline levels of SAA, PCT, lactate, serum creatinine, and APACHE II scores (all p < 0.05). Both biomarkers declined progressively, reaching their lowest levels by day 7. Baseline SAA and PCT showed strong negative correlations with 28d eGFR (r = -0.414, -0.491; p < 0.05). Multivariable logistic regression identified APACHE II score (OR = 1.260), SAA (OR = 1.025), and PCT (OR = 1.275) as independent predictors of non-recovery. ROC curve analysis demonstrated good discriminative ability, with AUCs of 0.813 for SAA, 0.819 for PCT, and 0.827 for APACHE II (all p < 0.05).Conclusion: SAA and PCT are robust short-term predictors of renal outcomes in sepsis-associated AKI. Their dynamic trajectories reflect disease severity and treatment response.","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"171-178"},"PeriodicalIF":2.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12947569/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146141260","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}

引用次数: 0

Preprocedural ALBI score predicts short- and long-term mortality after TAVI: a single-center cohort. 手术前ALBI评分预测TAVI术后短期和长期死亡率：单中心队列。

IF 2.1 4区医学

Biomarkers in medicine Pub Date : 2026-02-01 Epub Date: 2026-02-11 DOI: 10.1080/17520363.2026.2628124

İsmail Balaban, Seda Tanyeri Uzel, Halit Eminoglu, Baver Bozan, Tezel Kovanci, Dogan Sen, Murat Karacam, Barkin Kultursay, Dogancan Ceneli, Ferhat Keten, Busra Guvendi Sengor, Ahmet Karaduman, Regayip Zehir, Rezzan Deniz Acar, Elnur Alizade

{"title":"Preprocedural ALBI score predicts short- and long-term mortality after TAVI: a single-center cohort.","authors":"İsmail Balaban, Seda Tanyeri Uzel, Halit Eminoglu, Baver Bozan, Tezel Kovanci, Dogan Sen, Murat Karacam, Barkin Kultursay, Dogancan Ceneli, Ferhat Keten, Busra Guvendi Sengor, Ahmet Karaduman, Regayip Zehir, Rezzan Deniz Acar, Elnur Alizade","doi":"10.1080/17520363.2026.2628124","DOIUrl":"10.1080/17520363.2026.2628124","url":null,"abstract":"Aims: To evaluate the prognostic significance of the preprocedural albumin - bilirubin (ALBI) score on short- and long-term outcomes after transcatheter aortic valve implantation (TAVI).Methods: We retrospectively analyzed 737 consecutive patients who underwent TAVI. Patients were stratified into tertiles according to ALBI score. Baseline clinical, echocardiographic, laboratory features were compared across tertiles. The primary endpoint was long-term all-cause mortality; secondary endpoints included in-hospital mortality and major complications. Kaplan-Meier analysis assessed survival, and Cox-regression models evaluated predictors of long-term mortality after adjustment for conventional risk factors.Results: Higher ALBI tertiles were associated with a greater comorbidity burden, worse ventricular function, and elevated biomarkers of inflammation and cardiac stress. In-hospital mortality increased across tertiles (5.3%, 7.3%, 11.8%). Long-term mortality also rose progressively (7.3%, 9.8%, 11.8%), with 60-month survival rates of approximately 90% (T1), 88% (T2), and 73% (T3). ALBI score independently predicted long-term mortality (HR 1.86, 95% CI 1.23-2.82), along with chronic kidney disease and lower TAPSE. Restricted cubic spline analysis demonstrated a near-linear association between ALBI and mortality risk.Conclusion: Preprocedural ALBI score is independently associated with both short and long-term mortality after TAVI and may reflect systemic vulnerability not captured by conventional risk models. Incorporating ALBI into preprocedural assessment could enhance risk stratification.","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"179-189"},"PeriodicalIF":2.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12947554/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146163614","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}

引用次数: 0

Integrative multi-platform gene expression and machine learning analysis for glioblastoma biomarker discovery with experimental validation. 综合多平台基因表达和机器学习分析胶质母细胞瘤生物标志物发现与实验验证。

IF 2.1 4区医学

Biomarkers in medicine Pub Date : 2026-01-01 Epub Date: 2026-02-18 DOI: 10.1080/17520363.2026.2631632

Haseeb Nisar, Ali Islam, Amna Arshad, Fatima Tu Zahra, Saleh Alwahaishi, Romena Qazi, Irfan Yousaf, Qurat Ul Ain Tariq

{"title":"Integrative multi-platform gene expression and machine learning analysis for glioblastoma biomarker discovery with experimental validation.","authors":"Haseeb Nisar, Ali Islam, Amna Arshad, Fatima Tu Zahra, Saleh Alwahaishi, Romena Qazi, Irfan Yousaf, Qurat Ul Ain Tariq","doi":"10.1080/17520363.2026.2631632","DOIUrl":"10.1080/17520363.2026.2631632","url":null,"abstract":"Background: Glioblastoma (GBM) is a highly aggressive form of brain tumor with poor prognosis. This study aimed to identify genes critical to glioma development and assess their potential diagnostic and therapeutic value through an integrated analysis of microarray and RNA-Seq datasets.Methods: We used data integration to improve statistical robustness and reliability. LASSO regression, along with seven machine learning classifiers, was utilized to find the most important features. The classifier performance was validated on unseen datasets, where SVM and kNN showed the highest accuracy. Functional enrichment analysis was performed on the selected features to assess their biological relevance, followed by validation of biomarkers through qPCR.Results: We identified three key genes, PLOD1, COL4A2, and COL5A2, that emerged as consistently top-ranked across models. Survival analysis revealed PLOD1 is the only gene significantly associated with poor prognosis in GBM. Further validation in patient samples confirmed a strong association between high PLOD1 expression and GBM, highlighting its potential as a diagnostic biomarker and therapeutic target.Conclusion: This robust integrative machine learning approach for biomarker discovery in GBM supports the development of more personalized treatment strategies.","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"95-108"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12947586/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146218455","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}

引用次数: 0