Tuberkuloz ve toraks最新文献

{"title":"Ventilator-associated pneumonia in an intensive care unit: A comparative analysis of clinical and microbiological characteristics of COVID-19 and non-COVID-19 patients.","authors":"Elif Mukime Saricaoğlu, Leyla Ferliçolak, Ezgi Gülten, Güle Çinar, İrem Akdemir, Melike Inan Hekimoğlu, İrem Kar, Neriman Defne Altintaş, Fügen Yörük","doi":"10.5578/tt.2026011187","DOIUrl":"https://doi.org/10.5578/tt.2026011187","url":null,"abstract":"<p><strong>Introduction: </strong>The incidence and microbiological characteristics of coronavirus disease-2019 (COVID-19) associated ventilator-associated pneumonia (VAP) remain a clinical concern. The present study investigates the risk factors associated with VAP and compares the clinical and microbiological characteristics between the patients with and without COVID-19.</p><p><strong>Materials and methods: </strong>This retrospective case-control study was conducted in a tertiary intensive care unit (ICU) between March 2020 and February 2023. Patients with COVID-19 were identified through positive SARS-CoV-2 polymerase chain reactionresults, while non-COVID-19 patients served as controls. Demographic characteristics, comorbidities, clinical parameters, and microbiological data were analyzed. Risk factors for VAP were determined using multivariate logistic regression analysis. The Kaplan-Meier method was used to estimate the cumulative probability of VAP.</p><p><strong>Result: </strong>A total of 327 mechanically ventilated patients were enrolled, of whom 154 developed VAP. COVID-19 emerged as an independent predictor of VAP, conferring a 2.47-fold increased risk (p= 0.008). COVID-19 VAP patients had a higher prevalence of acute respiratory distress syndrome (ARDS) (p< 0.001), increased corticosteroid use (p= 0.004) and lower APACHE scores (p< 0.001). Both ICU and hospital case fatality rates were significantly increased in COVID-19 VAP patients. Klebsiella pneumoniae was the predominant pathogen in COVID-19 VAP patients, followed by Acinetobacter baumannii as the second most common pathogen.</p><p><strong>Conclusions: </strong>COVID-19 is a significant risk factor for VAP, with distinct clinical and microbiological characteristics compared to non-COVID-19 VAP. The greater occurrence of ARDS, corticosteroid use, and multidrug-resistant organisms in COVID-19-associated VAP highlights the urgent need for individualized antimicrobial strategies aimed at reducing infection-related morbidity and mortality.</p>","PeriodicalId":519894,"journal":{"name":"Tuberkuloz ve toraks","volume":"74 1","pages":"21-31"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147535309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hypersensitivity pneumonitis.","authors":"Dildar Duman","doi":"10.5578/tt.2026011170","DOIUrl":"10.5578/tt.2026011170","url":null,"abstract":"","PeriodicalId":519894,"journal":{"name":"Tuberkuloz ve toraks","volume":"74 1","pages":"58-65"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147535331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Can tuberculosis and non-tuberculosis mycobacteria infections be differentiated radiologically?","authors":"Hatice Arzu Uçar, Mehmet Polatli, Murat Telli","doi":"10.5578/tt.2026011073","DOIUrl":"https://doi.org/10.5578/tt.2026011073","url":null,"abstract":"<p><strong>Introduction: </strong>Tuberculosis (TB) and non-tuberculous mycobacteria (NTM) are socioeconomically important infectious diseases. Diagnosis is supported by radiological examinations following the evaluation of clinical symptoms. Definitive diagnosis is made microbiologically or histopathologically. TB and NTM infections progress with different radiological findings such as cavitary and nodular infiltrations. In our study, it was aimed to investigate which criteria are stronger radiological determinants of which disease in microbiologically positive TB and NTM cases.</p><p><strong>Materials and methods: </strong>In our study, 417 cases that were positive for TB and NTM infections in the five-year microbiology laboratory were evaluated. The symptoms, sociodemographic, laboratory and radiological findings of the cases were obtained retrospectively from epicrisis information. Patients with NTM growth were examined according to ATS/IDSA NTM Infection diagnostic criteria.</p><p><strong>Result: </strong>There was a male sex predominance in both groups, and mean age was similar between the groups. The TB group was observed to present with more systemic symptoms, while the NTM group presented with more pulmonary symptoms. In radiological evaluation, the most common findings in both groups were nodules, consolidation, cavitation, and lymphadenopathy. The appearance of a tree in bud was also a common radiological finding in the TB group. When the two groups were compared, the presence of emphysema and atelectasis was significantly higher in the NTM group.</p><p><strong>Conclusions: </strong>In the diagnosis of TB and NTM infections, after taking a detailed anamnesis, care should be taken especially in terms of NTM infections in patients with radiological parenchymal damage.</p>","PeriodicalId":519894,"journal":{"name":"Tuberkuloz ve toraks","volume":"74 1","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147535319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hyalinizing clear cell carcinoma of the lung: A rare case with long-term follow-up.","authors":"İclal Ocak, Furkan Ufuk, Aliya Husain","doi":"10.5578/tt.2026011035","DOIUrl":"https://doi.org/10.5578/tt.2026011035","url":null,"abstract":"<p><strong>Introduction: </strong>Primary salivary gland-type lung cancers are extremely rare, accounting for less than 1% of all lung tumors. Hyalinizing clear cell carcinoma (HCCC) of the lung, an even rarer subtype, presents diagnostic challenges due to its similarity to other endobronchial lesions, such as carcinoid tumors or mucoepidermoid carcinoma. Here, we aimed to present a case of a 53-yearold male non-smoker who presented with recurrent respiratory symptoms. Initial chest X-ray showed consolidation, and subsequent computed tomography (CT) revealed a left lower lobe endobronchial nodule with postobstructive pneumonia. Positron emission tomography-CT imaging demonstrated mild F-18 fluorodeoxyglucose uptake, and bronchoscopy with biopsy led to the diagnosis of HCCC. The patient underwent a left lower lobectomy, and histopathological analysis confirmed the diagnosis. The fiveyear follow-up was unremarkable, with no signs of recurrence. This case underscores the importance of considering HCCC in the differential diagnosis of endobronchial lesions, particularly in non-smokers.</p>","PeriodicalId":519894,"journal":{"name":"Tuberkuloz ve toraks","volume":"74 1","pages":"66-70"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147535276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between metabolic activity and molecular alterations in lung adenocarcinoma: Insights from 18F-FDG PET/CT.","authors":"Nilüfer Yiğit, Hilal Argüner, Sevin Başer, Hande Şenol, Gamze Gököz, Ümit Aydoğmuş, Ferda Bir, Aziz Gültekin","doi":"10.5578/tt.2026011208","DOIUrl":"https://doi.org/10.5578/tt.2026011208","url":null,"abstract":"<p><strong>Introduction: </strong>Lung adenocarcinoma is a heterogeneous malignancy characterized by diverse molecular profiles that influence prognosis and treatment response. Identifying noninvasive imaging biomarkers capable of predicting genetic alterations may support early diagnosis and facilitate personalized therapeutic strategies.</p><p><strong>Materials and methods: </strong>In this retrospective study, 225 patients with lung adenocarcinoma who underwent baseline 18F-fluorodeoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) imaging and molecular mutation testing were evaluated. Tumor metabolic activity was quantified using the maximum standardized uptake value (SUVmax) of the primary lesion. The relationship between SUVmax and molecular alterations, including epidermal growth factor receptor (EGFR), anaplastic lymphoma kinase (ALK), ROS proto-oncogene 1 receptor tyrosine kinase (ROS1), Kirsten rat sarcoma viral oncogene homolog mutations, and programmed deathligand 1 (PD-L1) expression, was analyzed.</p><p><strong>Result: </strong>EGFR mutation-positive tumors demonstrated significantly lower SUVmax values compared with mutation-negative tumors. In contrast, PD-L1- positive tumors were associated with higher SUVmax values. No significant correlation was identified between SUVmax and ALK or ROS1 alterations.</p><p><strong>Conclusions: </strong>Tumor metabolic activity measured by PET/CT may reflect specific molecular characteristics of lung adenocarcinoma. PET/CT-derived metabolic parameters, particularly when integrated with artificial intelligence and radiomics, could serve as non-invasive predictors of molecular alterations and help guide individualized treatment strategies. Prospective multicenter studies are warranted to validate these findings and confirm their clinical applicability.</p>","PeriodicalId":519894,"journal":{"name":"Tuberkuloz ve toraks","volume":"74 1","pages":"32-42"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147535194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The relationship between lipid biomarkers, inflammation and mortality in patients with tuberculosis.","authors":"Oğuzhan Acet, Kübra Bağir, Nazlıhan Yalçin, Ahmet Türk, Mehmet Sezai Taşbakan, Meltem Taşbakan, Tansu Yamazhan, Cengiz Çavuşoğlu","doi":"10.5578/tt.2026011166","DOIUrl":"https://doi.org/10.5578/tt.2026011166","url":null,"abstract":"<p><strong>Introduction: </strong>Tuberculosis (TB) remains one of the leading infectious causes of mortality worldwide. The interaction between lipid metabolism and immune response plays a crucial role in TB pathogenesis. High-density lipoprotein (HDL) and other lipid parameters have increasingly attracted attention for their associations with inflammatory markers and survival. This study aimed to investigate the relationship between serum lipid levels, inflammatory markers, and survival in patients with TB.</p><p><strong>Materials and methods: </strong>Data from TB and non-tuberculous mycobacteria (NTM) patients followed at Ege University Faculty of Medicine Hospital between January 2017 and January 2024 were retrospectively analyzed. Lipid profile [HDL, low-density lipoprotein (LDL), total cholesterol, triglycerides] and inflammatory parameters (C-reactive protein, erythrocyte sedimentation rate, ferritin, albumin, lymphocyte count) were recorded at diagnosis. Lipid levels were categorized into tertiles based on interquartile distribution. Groups were compared in terms of inflammatory response, clinical features, and survival.</p><p><strong>Result: </strong>A total of 148 patients were included in the study, comprising 127 TB and 21 NTM cases. Median age was 59.0 years [Interquartile range (IQR): 45.0-71.0] in the TB group and 64.0 years (IQR: 38.0-72.0) in the NTM group. Among TB patients, 62.2% were male (n= 79). Mortality among TB patients was 17.3% (n= 22). Patients with low HDL levels had significantly higher CRP and ferritin levels and lower albumin levels (p< 0.05). LDL and total cholesterol levels were similarly associated with CRP, albumin, and lymphocyte count. A significant association was observed between HDL levels and sex, with low HDL levels being more frequent among males (p< 0.001). Increasing HDL and triglyceride levels were associated with a trend toward improved survival (p= 0.063; linear trend p= 0.041). No significant associations were found between lipid levels and cavity formation, pulmonary versus extrapulmonary involvement, or acid-fast bacilli smear results (p< 0.05). In multivariable analysis, older age and lower serum albumin levels were independently and significantly associated with mortality (p< 0.005).</p><p><strong>Conclusions: </strong>In patients with TB, serum lipid profiles show significant associations with systemic inflammatory markers. Low HDL levels were accompanied by a more pronounced inflammatory response. However, lipid biomarkers were not independently associated with mortality, suggesting that they may serve as complementary markers in the assessment of the inflammatory process rather than as direct prognostic indicators.</p>","PeriodicalId":519894,"journal":{"name":"Tuberkuloz ve toraks","volume":"74 1","pages":"9-20"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147535304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Successful and practical pirfenidone desensitization.","authors":"Şeyma Özden, Fatma Merve Tepetam, Dildar Duman, Fatma Terzioğlu Şahin","doi":"10.5578/tt.2026011120","DOIUrl":"https://doi.org/10.5578/tt.2026011120","url":null,"abstract":"","PeriodicalId":519894,"journal":{"name":"Tuberkuloz ve toraks","volume":"74 1","pages":"71-73"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147535294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning-extended sPESI for 1-year mortality prediction in pulmonary embolism.","authors":"Elvan Burak Verdi","doi":"10.5578/tt.2026011217","DOIUrl":"https://doi.org/10.5578/tt.2026011217","url":null,"abstract":"<p><strong>Introduction: </strong>The simplified pulmonary embolism severity index (sPESI) is extensively used for bedside risk assessment in acute pulmonary embolism (PE). Nevertheless, its effectiveness is constrained by the dichotomization of physiological variables and a primary validation focus on 30-day outcomes only. We developed a machine learning (ML) extension to enhance prognostic precision and extend risk stratification to 12 months, using only bedside data.</p><p><strong>Materials and methods: </strong>In a retrospective cohort of 2547 adults with computed tomography pulmonary angiography confirmed PE, we developed logistic regression (LR), XGBoost, and multi-layer perceptron (MLP) models using a 10-item hybrid extension of sPESI that retained continuous age, heart rate, systolic blood pressure, and oxygen saturation alongside the six binary sPESI indicators. Models were trained and optimized using 12-month all-cause mortality as the target and were evaluated against 30, 180, and 365-day mortality on a held-out test set.</p><p><strong>Result: </strong>Discrimination with the conventional sPESI attenuated over time (AUC= 0.727, 0.689, and 0.665 at 30 days, 180 days, and one year, respectively). The 10-item ML extension significantly enhanced prognostic performance compared with the conventional 6-item sPESI across all horizons (all p< 0.05). At the primary 12-month horizon, LR, XGBoost, and MLP achieved AUCs of 0.720, 0.726, and 0.712, respectively (vs. 0.665 for sPESI). At 30 days, the peak discrimination reached 0.796 (XGBoost). Moreover, ML increased 30-day specificity to 0.326-0.395 compared to 0.131 for sPESI, while maintaining high sensitivity (0.930-0.982). SHapley Additive exPlanations analyses demonstrated horizon-linked attribution shifts, with acute hemodynamic markers dominating early mortality predictions and age and malignancy emerging as the primary drivers at 12 months under horizonspecific evaluation.</p><p><strong>Conclusions: </strong>Preserving continuous physiological resolution within a familiar clinical framework enables ML to capture both acute instability and latent long-term vulnerability from the index presentation data alone. This bedsidefeasible pathway enhances long-horizon risk stratification and individualizes the management of patients.</p>","PeriodicalId":519894,"journal":{"name":"Tuberkuloz ve toraks","volume":"74 1","pages":"43-57"},"PeriodicalIF":0.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147535291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Segmentation of honeycomb cysts, traction bronchiectasis and emphysematous lung parenchyma using the deep learning method.","authors":"Nevin Aydin, Hüseyin Yildirim, Füsun Alataş, Büşra Sariay, Burcu Mert, Serhat Demir, Özer Çelik, Ahmet Faruk Aslan, Alper Odabaş","doi":"10.5578/tt.2025041118","DOIUrl":"https://doi.org/10.5578/tt.2025041118","url":null,"abstract":"<p><strong>Introduction: </strong>This study aimed to perform the segmentation of honeycomb cysts, traction bronchiectasis, and emphysematous lung parenchyma in highresolution computed tomography (HRCT) examinations using the deep learning method of artificial intelligence.</p><p><strong>Materials and methods: </strong>The study included the cross-sectional images of 265 patients diagnosed with usual interstitial pneumonia between 2017 and 2021. Minimum intensity projection (MinIP) was performed on axial sections in the parenchymal window. Emphysema areas, traction bronchiectasis, and honeycomb cysts were segmented and labeled on the axial HRCT images. The dataset was divided into three parts, namely training, validation, and testing, at a ratio of 80, 10, and 10%, respectively. The results were calculated by selecting 50% as the threshold value for the intersection over union (Jaccard index) statistic.</p><p><strong>Result: </strong>Of the 265 patients included in the study, 184 (69.4%) were male and 81 (30.6%) were female. Mean age of the patients was 73 ± 10 years. In the test group segmented as emphysema, the sensitivity, precision, F1 score, area under the curve (AUC), and accuracy values were calculated as 0.81, 0.90, 0.85, 0.86, and 0.75, respectively. In the test group segmented as traction bronchiectasis, the sensitivity, precision, F1 score, AUC, and accuracy values were found to be 0.95, 0.76, 0.85, 0.80, and 0.75, respectively. In the test group segmented as honeycomb cysts, the sensitivity, precision, F1 score, AUC, and accuracy values were 0.96, 0.92, 0.94, 0.88, and 0.90, respectively.</p><p><strong>Conclusions: </strong>In this study, we successfully utilized the U-Net architecture, a deep learning technology, to accurately segment honeycomb cysts in MinIP images, one of the parameters that will help classify interstitial lung diseases (ILDs). We anticipate that our study will guide future studies on the classification of ILDs.</p>","PeriodicalId":519894,"journal":{"name":"Tuberkuloz ve toraks","volume":"73 4","pages":"249-257"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145902155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"First-line immunotherapy-based regimens for metastatic non-small cell lung cancer: A network meta-analysis of landmark trials.","authors":"Rashad Ismayilov, Özden Altundağ","doi":"10.5578/tt.2025041169","DOIUrl":"10.5578/tt.2025041169","url":null,"abstract":"<p><strong>Introduction: </strong>First-line immunotherapy, alone or with chemotherapy, has revolutionized the treatment of metastatic non-small cell lung cancer (NSCLC). However, with multiple approved regimens, the optimal therapeutic choice is undefined due to a lack of direct comparative trials. This network meta-analysis was conducted to establish a hierarchy of efficacy for five landmark immunotherapy-based regimens to inform clinical and policy decisions.</p><p><strong>Materials and methods: </strong>A network meta-analysis of five pivotal phase III trials (KEYNOTE-024, KEYNOTE-189, KEYNOTE-407, CheckMate 9LA, IMpower 110), all recently reimbursed in our country, was performed. We synthesized overall survival (OS) data for the total population and across subgroups defined by histology (squamous vs. non-squamous) and PD-L1 expression (<1%, 1-49%, ≥50%), with chemotherapy as the common comparator.</p><p><strong>Result: </strong>Pembrolizumab-based therapies ranked consistently high. In nonsquamous NSCLC, pembrolizumab-chemotherapy was highest-ranked and significantly superior to the nivolumab-based combination (HR: 0.76, 95% CI: 0.58-0.99). In squamous disease, the combination of nivolumab, ipilimumab, and chemotherapy emerged as the highest-ranked regimen (SUCRA: 78.3%). By PD-L1 status, pembrolizumab monotherapy was topranked for ≥50% expression (SUCRA: 82.8%), while pembrolizumabchemotherapy was superior for the 1-49% subgroup (SUCRA: 87.5%). For PD-L1 negative (<1%) patients, a subgroup with substantial heterogeneity, no regimen showed a statistically significant OS benefit over chemotherapy.</p><p><strong>Conclusions: </strong>Our analysis indicates pembrolizumab-based regimens, as monotherapy or with chemotherapy, offer the most robust and highestranking survival advantage across most key NSCLC subgroups. These findings provide a critical, evidence-based framework to guide individualized first-line treatment selection.</p>","PeriodicalId":519894,"journal":{"name":"Tuberkuloz ve toraks","volume":"73 4","pages":"299-308"},"PeriodicalIF":0.0,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145902170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}