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  1. Article: Evolving landscape of clinical trials in gastroenteropancreatic neuroendocrine neoplasms in the past two decades.

    Yang, Kaili / Li, Jiarui / Cheng, Yuejuan / Bai, Chunmei

    Endocrine connections

    2023  Volume 12, Issue 4

    Abstract: Background: Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) are heterogenous malignancies that require well-designed trials to develop effective management strategies. This cross-sectional study aimed to illustrate the current landscape of ... ...

    Abstract Background: Gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) are heterogenous malignancies that require well-designed trials to develop effective management strategies. This cross-sectional study aimed to illustrate the current landscape of clinical trials in GEP-NENs to provide insights for future research.
    Materials and methods: We reviewed all clinical trials registered on ClinicalTrials.gov between 1 January 2000 and 31 December 2021 with GEP-NEN in the 'condition or disease' field.
    Results: We included 206 eligible trials. Most trials enrolled less than 50 patients (59.8%) and were sponsored by institutions other than government or industry (67.0%). Most trials were conducted in high-income countries (86.6%) and countries located in Europe (30.1%) or Northern America (29.6%). The overall result reporting rates of GEP-NEN trials was 41.4%, and the median time from primary completion to result reporting was 101 months. Characteristics that improved the reporting of results included larger sample size, tumor differentiation specification for inclusion, progression-free survival as primary endpoint, industry sponsorship, and multicenter or multinational participation (all P < 0.05). Compared with trials registered between 2000 and 2011 (n = 28), trials registered between 2012 and 2021 (n = 178) were more likely to specify the Ki-67 index for inclusion (68.0% vs 35.7%, P = 0.002) and to be conducted outside Europe or Northern America (16.4% vs 3.7%, P = 0.02), while the sample size and the sponsorship did not change significantly.
    Conclusions: Novel management options have been explored for GEP-NENs with more specific inclusion criteria during the past two decades. More efforts are needed to promote international collaborations in clinical trials and enhance timely result dissemination.
    Language English
    Publishing date 2023-03-10
    Publishing country England
    Document type Journal Article
    ZDB-ID 2668428-7
    ISSN 2049-3614
    ISSN 2049-3614
    DOI 10.1530/EC-22-0441
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: A diagnostic classification of lung nodules using multiple-scale residual network.

    Wang, Hongfeng / Zhu, Hai / Ding, Lihua / Yang, Kaili

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 11322

    Abstract: Computed tomography (CT) scans have been shown to be an effective way of improving diagnostic efficacy and reducing lung cancer mortality. However, distinguishing benign from malignant nodules in CT imaging remains challenging. This study aims to develop ...

    Abstract Computed tomography (CT) scans have been shown to be an effective way of improving diagnostic efficacy and reducing lung cancer mortality. However, distinguishing benign from malignant nodules in CT imaging remains challenging. This study aims to develop a multiple-scale residual network (MResNet) to automatically and precisely extract the general feature of lung nodules, and classify lung nodules based on deep learning. The MResNet aggregates the advantages of residual units and pyramid pooling module (PPM) to learn key features and extract the general feature for lung nodule classification. Specially, the MResNet uses the ResNet as a backbone network to learn contextual information and discriminate feature representation. Meanwhile, the PPM is used to fuse features under four different scales, including the coarse scale and the fine-grained scale to obtain more general lung features of the CT image. MResNet had an accuracy of 99.12%, a sensitivity of 98.64%, a specificity of 97.87%, a positive predictive value (PPV) of 99.92%, and a negative predictive value (NPV) of 97.87% in the training set. Additionally, its area under the receiver operating characteristic curve (AUC) was 0.9998 (0.99976-0.99991). MResNet's accuracy, sensitivity, specificity, PPV, NPV, and AUC in the testing set were 85.23%, 92.79%, 72.89%, 84.56%, 86.34%, and 0.9275 (0.91662-0.93833), respectively. The developed MResNet performed exceptionally well in estimating the malignancy risk of pulmonary nodules found on CT. The model has the potential to provide reliable and reproducible malignancy risk scores for clinicians and radiologists, thereby optimizing lung cancer screening management.
    MeSH term(s) Humans ; Lung Neoplasms/diagnostic imaging ; Lung Neoplasms/pathology ; Early Detection of Cancer/methods ; Solitary Pulmonary Nodule/diagnostic imaging ; Multiple Pulmonary Nodules/diagnostic imaging ; Lung/diagnostic imaging ; Lung/pathology
    Language English
    Publishing date 2023-07-13
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-38350-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Will the imposition of carbon tariffs enhance or worsen the carbon performance of China's export industries? A reality check based on 28 manufacturing industry segments

    Zhang, Jijian / Yang, Kaili / Qin, Jie

    Environ Sci Pollut Res. 2023 Mar., v. 30, no. 13 p.36472-36484

    2023  

    Abstract: Carbon tariffs are directly linked to carbon performance and have an impact on export sectors. This paper examines the relationship between carbon tariffs and carbon performance based on China’s manufacturing sector, helping to visually quantify the ... ...

    Abstract Carbon tariffs are directly linked to carbon performance and have an impact on export sectors. This paper examines the relationship between carbon tariffs and carbon performance based on China’s manufacturing sector, helping to visually quantify the impact of carbon tariffs and to adopt more favourable strategies to address the impact. This paper uses data from 28 manufacturing industry segments in China from 2009 to 2019, estimating carbon performance using an SBM model incorporating non-desired outputs. The panel Tobit model is also used to explore the driving role of carbon tariffs and related variables on carbon performance. The results show the following: First of all, China’s manufacturing carbon performance is generally on an upward trend but is mainly driven by improvements in the light textile and machinery manufacturing industries. Secondly, in terms of drivers of carbon performance, the imposition of carbon tariffs will increase the carbon performance of China’s manufacturing sector. Furthermore, R&D investment is positively correlated with carbon emission performance. The significant positive impact of export dependence is manifested in the light and textile industry. Energy intensity has a significant positive impact on the textile industry and a significant negative impact on the resource processing industry. Environmental regulations have a negative impact on the light textile industry. China should optimize the industrial chain of resource processing industry. At the same time, China should increase R&D investment in emission reduction and product upgrades, encourage the export of light and textile industrial products, increase the import of resource processing industrial products. Also, the government should formulate environmental regulatory policies that are close to the nature of the industry.
    Keywords carbon ; energy ; exports ; fabrics ; imports ; models ; regression analysis ; textile industry ; China
    Language English
    Dates of publication 2023-03
    Size p. 36472-36484.
    Publishing place Springer Berlin Heidelberg
    Document type Article ; Online
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-022-24856-y
    Database NAL-Catalogue (AGRICOLA)

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  4. Article: Mitochondrial DNA heteroplasmy analysis in keratoconus patients from China.

    Xu, Liyan / Yang, Kaili / Fan, Qi / Gu, Yuwei / Ren, Shengwei

    Frontiers in genetics

    2023  Volume 14, Page(s) 1251951

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2023-09-18
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2606823-0
    ISSN 1664-8021
    ISSN 1664-8021
    DOI 10.3389/fgene.2023.1251951
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Effect of age on the risk of immune-related adverse events in patients receiving immune checkpoint inhibitors.

    Yang, Kaili / Li, Jiarui / Sun, Zhao / Bai, Chunmei / Zhao, Lin

    Clinical and experimental medicine

    2023  Volume 23, Issue 7, Page(s) 3907–3918

    Abstract: Identifying patients at increased risk of immune-related adverse events (irAEs) facilitates safe application of immune checkpoint inhibitors (ICIs). This retrospective study aimed to determine the effect of age on the risk of irAEs in patients receiving ... ...

    Abstract Identifying patients at increased risk of immune-related adverse events (irAEs) facilitates safe application of immune checkpoint inhibitors (ICIs). This retrospective study aimed to determine the effect of age on the risk of irAEs in patients receiving ICIs and to identify potential mechanisms underlying age-related irAE risk differences. We analyzed reports of FDA Adverse Event Reporting System from July 1, 2014, to September 30, 2021. The information component ratio (IC
    MeSH term(s) Humans ; Aged ; Immune Checkpoint Inhibitors/adverse effects ; Antineoplastic Agents, Immunological ; Retrospective Studies ; Colitis/chemically induced ; Collagen
    Chemical Substances Immune Checkpoint Inhibitors ; Antineoplastic Agents, Immunological ; Collagen (9007-34-5)
    Language English
    Publishing date 2023-04-04
    Publishing country Italy
    Document type Journal Article
    ZDB-ID 2053018-3
    ISSN 1591-9528 ; 1591-8890
    ISSN (online) 1591-9528
    ISSN 1591-8890
    DOI 10.1007/s10238-023-01055-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Will the imposition of carbon tariffs enhance or worsen the carbon performance of China's export industries? A reality check based on 28 manufacturing industry segments.

    Zhang, Jijian / Yang, Kaili / Qin, Jie

    Environmental science and pollution research international

    2022  Volume 30, Issue 13, Page(s) 36472–36484

    Abstract: Carbon tariffs are directly linked to carbon performance and have an impact on export sectors. This paper examines the relationship between carbon tariffs and carbon performance based on China's manufacturing sector, helping to visually quantify the ... ...

    Abstract Carbon tariffs are directly linked to carbon performance and have an impact on export sectors. This paper examines the relationship between carbon tariffs and carbon performance based on China's manufacturing sector, helping to visually quantify the impact of carbon tariffs and to adopt more favourable strategies to address the impact. This paper uses data from 28 manufacturing industry segments in China from 2009 to 2019, estimating carbon performance using an SBM model incorporating non-desired outputs. The panel Tobit model is also used to explore the driving role of carbon tariffs and related variables on carbon performance. The results show the following: First of all, China's manufacturing carbon performance is generally on an upward trend but is mainly driven by improvements in the light textile and machinery manufacturing industries. Secondly, in terms of drivers of carbon performance, the imposition of carbon tariffs will increase the carbon performance of China's manufacturing sector. Furthermore, R&D investment is positively correlated with carbon emission performance. The significant positive impact of export dependence is manifested in the light and textile industry. Energy intensity has a significant positive impact on the textile industry and a significant negative impact on the resource processing industry. Environmental regulations have a negative impact on the light textile industry. China should optimize the industrial chain of resource processing industry. At the same time, China should increase R&D investment in emission reduction and product upgrades, encourage the export of light and textile industrial products, increase the import of resource processing industrial products. Also, the government should formulate environmental regulatory policies that are close to the nature of the industry.
    MeSH term(s) Carbon ; Industry ; Manufacturing Industry ; Commerce ; China ; Economic Development ; Carbon Dioxide
    Chemical Substances Carbon (7440-44-0) ; Carbon Dioxide (142M471B3J)
    Language English
    Publishing date 2022-12-22
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1178791-0
    ISSN 1614-7499 ; 0944-1344
    ISSN (online) 1614-7499
    ISSN 0944-1344
    DOI 10.1007/s11356-022-24856-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Effects of Catalase on Growth Performance, Antioxidant Capacity, Intestinal Morphology, and Microbial Composition in Yellow Broilers.

    Tang, Minghong / Fang, Rejun / Xue, Junjing / Yang, Kaili / Lu, Yi

    Frontiers in veterinary science

    2022  Volume 9, Page(s) 802051

    Abstract: The objective of this experiment was to study the effects of catalase (CAT) on growth performance, antioxidant capacity, intestinal morphology, and microbial composition of yellow broilers. Male Lingnan yellow broilers (360), aged 1 day, were randomly ... ...

    Abstract The objective of this experiment was to study the effects of catalase (CAT) on growth performance, antioxidant capacity, intestinal morphology, and microbial composition of yellow broilers. Male Lingnan yellow broilers (360), aged 1 day, were randomly divided into control group (CON) (fed with a basic diet), R1 group (fed with basic diet + 150 U/kg catalase), and R2 group (fed with basic diet + 200 U/kg catalase). Each group had 8 replicates and 15 chickens in each replicate. The test is divided into the early stage (1-30 days) and the later stage (31-60 days). The results showed that compared with the control group, groups R1 and R2 significantly (
    Language English
    Publishing date 2022-03-24
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2834243-4
    ISSN 2297-1769
    ISSN 2297-1769
    DOI 10.3389/fvets.2022.802051
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Multispectral remote sensing for accurate acquisition of rice phenotypes: Impacts of radiometric calibration and unmanned aerial vehicle flying altitudes.

    Luo, Shanjun / Jiang, Xueqin / Yang, Kaili / Li, Yuanjin / Fang, Shenghui

    Frontiers in plant science

    2022  Volume 13, Page(s) 958106

    Abstract: As a promising method, unmanned aerial vehicle (UAV) multispectral remote sensing (RS) has been extensively studied in precision agriculture. However, there are numerous problems to be solved in the data acquisition and processing, which limit its ... ...

    Abstract As a promising method, unmanned aerial vehicle (UAV) multispectral remote sensing (RS) has been extensively studied in precision agriculture. However, there are numerous problems to be solved in the data acquisition and processing, which limit its application. In this study, the Micro-MCA12 camera was used to obtain images at different altitudes. The piecewise empirical line (PEL) method suitable for predicting the reflectance of different ground objects was proposed to accurately acquire the reflectance of multi-altitude images by comparing the performance of the conventional methods. Several commonly utilized vegetation indices (VIs) were computed to estimate the rice growth parameters and yield. Then the rice growth monitoring and yield prediction were implemented to verify and evaluate the effects of radiometric calibration methods (RCMs) and UAV flying altitudes (UAV-FAs). The results show that the variation trends of reflectance and VIs are significantly different due to the change in component proportion observed at different altitudes. Except for the milking stage, the reflectance and VIs in other periods fluctuated greatly in the first 100 m and remained stable thereafter. This phenomenon was determined by the field of view of the sensor and the characteristic of the ground object. The selection of an appropriate calibration method was essential as a result of the marked differences in the rice phenotypes estimation accuracy based on different RCMs. There were pronounced differences in the accuracy of rice growth monitoring and yield estimation based on the 50 and 100 m-based variables, and the altitudes above 100 m had no notable effect on the results. This study can provide a reference for the application of UAV RS technology in precision agriculture and the accurate acquisition of crop phenotypes.
    Language English
    Publishing date 2022-08-10
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2613694-6
    ISSN 1664-462X
    ISSN 1664-462X
    DOI 10.3389/fpls.2022.958106
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: Accuracy of tomographic and biomechanical parameters in detecting unilateral post-LASIK keratoectasia and fellow eyes.

    Yang, Kaili / Fan, Qi / Xu, Liyan / Gu, Yuwei / Pang, Chenjiu / Ren, Shengwei

    Frontiers in bioengineering and biotechnology

    2023  Volume 11, Page(s) 1181117

    Abstract: Background: ...

    Abstract Background:
    Language English
    Publishing date 2023-06-02
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2719493-0
    ISSN 2296-4185
    ISSN 2296-4185
    DOI 10.3389/fbioe.2023.1181117
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Discussion on the need for correction during isotopic analysis of nitrogen by the denitrifier method.

    Hu, Jing / Pan, Mengyan / Li, Yuliang / Xing, Meng / Cao, Yunning / Yang, Kaili / Liu, Weiguo

    RSC advances

    2023  Volume 13, Issue 20, Page(s) 13834–13839

    Abstract: The nitrogen and oxygen isotopes of ... ...

    Abstract The nitrogen and oxygen isotopes of NO
    Language English
    Publishing date 2023-05-05
    Publishing country England
    Document type Journal Article
    ISSN 2046-2069
    ISSN (online) 2046-2069
    DOI 10.1039/d3ra00371j
    Database MEDical Literature Analysis and Retrieval System OnLINE

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