Publications by authors named "Haochang Yang"
Industrial co-agglomeration, green technological innovation, and total factor energy efficiency.
Environ Sci Pollut Res Int
September 2022
The double-wheel driven of manufacturing and producer services industrial co-agglomeration is of great significance for transforming the economic growth mode driven by a single industry, integrating and extending regional resources, and improving energy efficiency. Based on panel data from 2004 to 2019, this paper uses the spatial Dubin model to analyze the impact of industrial co-agglomeration on total factor energy efficiency (TFEE) and its regional heterogeneity. Moreover, the mediating model is employed to examine the mediating effect of green technological innovation in the industrial co-agglomeration affects TFEE.
View Article and Find Full Text PDFBackground: With the improvement of treatment and prognosis for patients with late malignant diseases, certain malignancies with distant metastasis (M1 category) have been further classified into M1a (single metastatic site) and M1b (multiple metastatic sites) category in the staging system. We aimed to assess the feasibility of sub-classifying metastatic pancreatic adenocarcinoma (mPA) into M1a and M1b category depending on the number of metastatic organs.
Methods: Patient records were collected from the Surveillance, Epidemiology, and End Results (SEER) database (2010-2015).
Article Synopsis
- The study aimed to analyze the prognostic significance of T4 and N2 categories in stage III pancreatic cancer using the 8th edition AJCC classification.
- Researchers used data from the SEER database, dividing patients into three groups based on tumor size and lymph node involvement, and assessed overall survival (OS) and disease-specific survival (DSS).
- Findings revealed that patients with T4N2 had worse survival outcomes compared to those with T(1-3)N2 or T4N(0-1), leading researchers to suggest a subclassification of stage III pancreatic cancer for better prognosis prediction.
Adequate lymph node evaluation is recommended for optimal staging in patients with malignant neoplasms including breast cancer. However, the role of negative lymph nodes (LNs) remains unclear in breast cancer according to N substage (N1, N2, and N3). In this study, for the first time, we analyzed the prognostic significance of negative LNs in breast cancer patients.
View Article and Find Full Text PDFBackground: The objective of this retrospective study was to determine whether lymph node metastasis has a prognostic impact on patients with stage IV breast cancer.
Patients And Methods: Seven thousand three hundred and seventy-nine patients with de novo stage IV breast cancer diagnosed from 2004 to 2013 were identified. Kaplan-Meier estimate method was fitted to measure overall survival and breast cancer-specific survival (BCSS).