Published papers
1.Zhang L, Long J, Jiang W, et al. Trends in chronic kidney disease in China. N Engl J Med. 2016 Sep 1;375(9):905-906.
2.Zhang L, Wang F, Wang L, et al. Prevalence of chronic kidney disease in China: a cross-sectional survey. Lancet. 2012 Mar 3;379(9818):815-822.
3.Zhang L, Wang H, Li Q, et al. Big data and medical research in China. BMJ. 2018 Feb 5;360:j5910.
4.Zhang L, Zhao MH, Zuo L, et al. China Kidney Disease Network (CK-NET) 2016 Annual Data Report. Kidney Int Suppl. 2020 Dec;10(2):e97-e186.
5.Yin D, Li X, Liu R, et al. China's Personal Information Protection Law. BMJ. 2022 Oct 17;379:e072619.
6.Yang C, Gao B, Zhao X, et al. Executive summary for China Kidney Disease Network (CK-NET) 2016 Annual Data Report. Kidney Int. 2020 Dec;98(6):1419-1423.
7.Zhang L, Zhao MH, Zuo L, et al. China Kidney Disease Network (CK-NET) 2015 Annual Data Report. Kidney Int Suppl. 2019 Mar;9(1):e1-e81.
8.Wang F, Yang C, Long J, et al. Executive summary for the 2015 Annual Data Report of the China Kidney Disease Network (CK-NET). Kidney Int. 2019 Mar;95(3):501-505.
9.Zhang L, Wang H, Long J, et al. China Kidney Disease Network (CK-NET) 2014 Annual Data Report. Am J Kidney Dis. 2017 Jun;69(6S2):A4.
10.Wang W, Yang C, Wang J, et al. Lower regional urbanicity and socioeconomic status attenuate associations of green spaces with hypertension and diabetes mellitus: a national representative cross-sectional study in China. Environ Health Prev Med. 2024, 29:47.
11.Wang W, Yang C, Wang F, et al. Does Nonsteroidal Anti-inflammatory Drug Use Modify All-Cause and Cause-Specific Mortality Associated with PM2.5 and Its Components? A Nationally Representative Cohort Study (2007–2017). Environment & Health. 2024.
12.Wang F, Wang W, Zhang F, et al. Heat exposure and hospitalizations for chronic kidney disease in China: a nationwide time series study in 261 major Chinese cities. Mil Med Res. 2023 Sep 5;10(1):41.
13.Yang C, Wang W, Wang F, et al. Ambient PM2.5 components and prevalence of chronic kidney disease: a nationwide cross-sectional survey in China. Environ Geochem Health. 2024 Feb 14;46(2):70.
14.Chen R, Yang C, Guo Y, et al. Association between ambient PM1 and the prevalence of chronic kidney disease in China: A nationwide study. J Hazard Mater, 2024, 468:133827.
15.Wang W, Wang F, Yang C, et al. Associations between heat waves and chronic kidney disease in China: The modifying role of land cover. Environment International. 2024, 186:108657.
16.Zhang F, Yang C, Wang F, et al. Air pollution and the risk of incident chronic kidney disease in patients with diabetes: An exposure-response analysis. Ecotoxicol Environ Saf. 2024; 270:115829.
17.Wu J, Li Q, Bao C, et al. Nephrology workforce in China: describing current status and evaluating the optimal capacity based on real-world data. Hum Resour Health. 2023 Aug 8;21(1):62.
18.Yang C, Wang W, Liang Z, et al. Regional urbanicity levels modify the association between ambient air pollution and prevalence of obesity: A nationwide cross-sectional survey. Environ Pollut, 2023, 320: 121079.
19.Gu Y, Yang X, Sun M, et al. Graph-guided deep hashing networks for similar patient retrieval. Comput Biol Med. 2023 Dec 19; 107865.
20.Ma Y, Li C, Hua R, et al. Association Between Serum Cystatin C and Cognitive Decline Independently from Creatinine: Evidence from Two Nationally Representative Aging Cohorts. J Alzheimers Dis. 2023 Apr 1. Epub ahead of print.
21.Wang HY, Du J, Yang Y, et al. Rapid identification of chronic kidney disease in electronic health record database using computable phenotype combining a common data model. Chin Med J (Engl). 2023 Feb 28.
22.Sun X, Wang M, Li X, et al. Incidence of thymic malignancies in China: A longitudinal study based on a national commercial claims database from 2007 to 2016. Chin Med J (Engl). 2023 Jan 5;136(1):105-107.
23.Hui M, Ma J, Yang H, et al. ESKD Risk Prediction Model in a Multicenter Chronic Kidney Disease Cohort in China: A Derivation, Validation, and Comparison Study. J Clin Med. 2023 Feb 14;12(4):1504.
24.Ding J, Yang C, Wang Y, et al. Influential factors of intercity patient mobility and its network structure in China. Cities. 2023, 132:103975.
25.Li P, Ma L, Liu J, et al. Surveillance of noncommunicable diseases: opportunities in the era of big data. Health Data Science. 2022, 9893703.
26.Wang Q, Wang Y, Yang C, et al. Trends of Urolithiasis in China: A National Study Based on Hospitalized Patients from 2013 to 2018. Kidney Dis 2022.
27.Yang C, Long J, Shi Y, et al. Healthcare resource utilization of chronic kidney disease and other major non-communicable chronic diseases in China: a cross-sectional study. BMJ Open. 2022 Jan 13;12(1):e051888.
28.Zhang L, Wang J, Yang C-W, et al. International Society of Nephrology Global Kidney Health Atlas: structures, organization and services for the management of kidney failure in North and East Asia. Kidney Int Suppl. 2021 May 1;11(2):77-85.
29.Liang Z, Wang W, Yang C, et al. Residential greenness and prevalence of chronic kidney disease: Findings from the China National Survey of Chronic Kidney Disease. Sci Total Environ. 2021 Sep 28;806(Pt 2):150628.
30.Yang C, Wang W, Wang Y, et al. Ambient ozone pollution and prevalence of chronic kidney disease: A nationwide study based on the China National survey of chronic kidney disease. Chemosphere. 2022:135603.
31.Wang F, Wang W, Peng S, et al. Effects of ambient temperature on hospital admissions for obstructive nephropathy in Wuhan, China: A time-series analysis. Ecotoxicol Environ Saf. 2022 Jul 13;242:113876.
32.Ao Y, Yang C, Li P, et al. Cost-effectiveness of medical migration for chronic kidney disease: a national cross-sectional study in China. BMC Health Serv Res. 2022 Jul 13;22(1):912
33.Liang Z, Wang W, Wang Y, et al. Urbanization, ambient air pollution, and prevalence of chronic kidney disease: a nationwide cross-sectional study. Environ Int. 2021 Nov;156:106752
34.Li G, Huang J, Wang J, et al. Long-term exposure to ambient PM2.5 and increased risk of CKD prevalence in China. J Am Soc Nephrol. 2021 Feb;32(2):448-458.
35.Liu W, Yang C, Liu L, et al. Bidirectional associations of vision loss, hearing loss, and dual sensory loss with depressive symptoms among the middle-aged and older adults in China. J Affect Disorders, 2022 Mar 15; 301:225-232
36.Wang J, Lv J, He K, et al. Longitudinal follow-up and outcomes for Chinese patients with stage 1–4 chronic kidney disease. Kidney Dis. 2022;8:72–81.
37.Yang C, Yang Z, Wang J, et al. Estimation of prevalence of kidney disease treated with dialysis in China: a study of insurance claims data. Am J Kidney Dis. 2021 Jun;77(6):889-897
38.Chen R, Yang C, Li P, et al. Long-Term Exposure to Ambient PM2.5, Sunlight, and Obesity: A Nationwide Study in China. Front. Endocrinol. 2022 Jan 7;12:790294.
39.Kong G, Wu J, Chu H, et al. Predicting prolonged length of hospital stay for peritoneal dialysis-treated patients using stacked generalization: model development and validation study. JMIR Med Inform. 2021 May 19;9(5):e17886
40.Wang H-Y, Ding G-H, Lin H, et al. Influence of doctors’ perception on the diagnostic status of chronic kidney disease: results from 976 409 individuals with electronic health records in China. Clin Kidney J, 2021 May 8; sfab089
41.Wan L, Song J, He V, et al. Development of the International Classification of Diseases Ontology (ICDO) and its application for COVID-19 diagnostic data analysis. BMC Bioinformatics. 2021, 22:508.
42.Wang J, Lv J, He K, et al. Association of left ventricular hypertrophy and functional impairment with cardiovascular outcomes and mortality among patients with chronic kidney disease, results from the C-STRIDE Study. Nephrology (Carlton). 2021 Nov 29.
43.Wang H-Y, Meng Q, Yang C, et al. Association between pulse pressure, systolic blood pressure and the risk of rapid decline of kidney function among general population without hypertension: results from the China health and retirement longitudinal study (CHARLS). J Transl Med. 2021 Dec 20;19(1):512.
44.Wu J, Kong G, Lin Y, et al. Development of a scoring tool for predicting prolonged length of hospital stay in peritoneal dialysis patients through data mining. Ann Transl Med. 2020;8(21):1437.
45.Peng S, Wang H, Sun X, et al. Early versus late acute kidney injury among patients with COVID-19 - a multicenter study from Wuhan, China. Nephrol Dial Transplant. 2020 Dec 4;35(12):2095-2102
46.Wang H, Mai H, Deng Z, et al. Distributed representations of diseases based on co-occurrence relationship. Expert Syst Appl. 2021 June 23; 183:115418.
47.Liu L, Gao B, Wang J, et al. Clinical significance of single and persistent elevation of serum high-sensitivity C-reactive protein levels for prediction of kidney outcomes in patients with impaired fasting glucose or diabetes mellitus. J Nephrol. 2020 Sep 3.
48.Yang C, Meng Q, Wang H, et al. Anemia and kidney function decline among the middle-aged and elderly in China: a population-based national longitudinal study. Biomed Res Int. 2020 Oct;2020:2303541.
49.Liu L, Zhu M, Meng Q, et al. Association between kidney function and the risk of cancer: Results from the China Health and Retirement longitudinal study (CHARLS). J Cancer. 2020 Sep 13;11(21):6429-6436.
50.Chen R, Yang C, Zhu M, et al. Association of cardiovascular disease with 30-day hospital readmission in Chinese patients receiving maintenance dialysis. Ann Transl Med. 2021, 9(8):617.
51.Yang C, Wang H, Zhao X, et al. CKD in China: evolving spectrum and public health implications. Am J Kidney Dis. 2020 Aug;76(2):258-264.
52.Liu W, Meng Q, Wang Y, et al. The association between reduced kidney function and hearing loss: a cross-sectional study. BMC Nephrol. 2020 Apr 22;21(1):145.
53.Gao B, Wang F, Zhu M, et al. Cardiovascular health metrics and all-cause mortality and mortality from major non-communicable chronic diseases among Chinese adult population. Int J Cardiol. 2020 Apr 19;S0167-5273
54.Liu L, Gao B, Wang J, et al. Reduction in serum high-sensitivity C-reactive protein favors kidney outcomes in patients with impaired fasting glucose or diabetes. Journal of Diabetes Research. 2020 Jun 7;2020:2720905.
55.Yang Y, Sun X, Wang J, et al. Incidence rates of four major non-communicable chronic diseases in the Chinese adult population from 2007 to 2016: a study based on a national commercial claims database. Clin Epidemiol. 2020 Feb 24;12:215-222.
56.Liu L, Gao B, Wang J, et al. Time-averaged serum uric acid and 10-year incident diabetic kidney disease: A prospective study from China. J Diabetes. 2020 Jan; 12(2):169-178
57.Lin Y, Yang C, Chu H, et al. The association between charlson comorbidity index and the risk of 30-day readmission in patients receiving maintenance dialysis. BMC Nephrol. 2019 Oct 7; 20(1):363
58.Liu L, Gao B, Wang J, et al. Joint association of body mass index and central obesity with cardiovascular events and all-cause mortality in prediabetic population: a prospective cohort study. Obes Res Clin Pract. 2019 Sep 23; 13(5):453-461
59.Wang J, Bao B, Shen P, et al. Using electronic health record data to establish a chronic kidney disease surveillance system in China: protocol for the China Kidney Disease Network (CK-NET)-Yinzhou Study. BMJ Open. 2019 Aug 28;9:e030102.
60.Lv J, Zhang L. Prevalence and disease burden of chronic kidney disease. Adv Exp Med Biol. 2019 Aug 9;1165:3-15.
61.Yang C, Kong G,Wang L, et al. Big data in nephrology: Are we ready for the change? Nephrology (Carlton). 2019 July 17; 24(11):1097-1102
62.Huang Y, Xu D, Long J, et al. The spectrum of chronic kidney disease in China: a national study based on hospitalized patients from 2010 to 2015. Nephrology (Carlton). 2019 Jul;24(7):725-736.
63.Li J, Cui Z, Long J, et al. Primary glomerular nephropathy among hospitalized patients in a national database in China. Nephrol Dial Transplant. 2018 Dec 1;33(12):2173-2181.
64.Yang C, Wang J, Gao B, et al. Prevalence and treatment of hypertension in China: impacts of 2017 American College of Cardiology/American Heart Association High Blood Pressure Guideline. Sci Bull. 2018 April 30;63(8):488-493.
65.Wang J, Wang F, Liu S, et al. Reduced kidney function, albuminuria, and risks for all-cause and cardiovascular mortality in China: a population-based cohort study. BMC Nephrol. 2017 Jun 7;18(1):188.
66.Wang H, Yang L, Wang F, et al. Strategies and cost-effectiveness evaluation of persistent albuminuria screening among high-risk population of chronic kidney disease. BMC Nephrol. 2017 Apr 18;18(1):135.
67.Zhou C, Wang F, Wang J, et al. Mineral and bone disorder and its association with cardiovascular parameters in Chinese patients with chronic kidney disease. Chin Med J (Engl). 2016 Oct 5;129(19):2275-2280.
68.Gao B, Zhang L, Zhao M. Underweight but metabolically abnormal phenotype: Metabolic features and its association with cardiovascular disease. Eur J Intern Med. 2016 Apr;29:46-51.
69.Wang J, Wang F, Dong S, et al. Levels of serum phosphorus and cardiovascular surrogate markers. J Atheroscler Thromb. 2016;23(1):95-104.
70.Da J, Xie X, Wolf M, et al. Serum phosphorus and progression of CKD and mortality: a meta-analysis of cohort studies. Am J Kidney Dis. 2015 Aug;66(2):258-265.
71.Wang J, Zhang L, Wang F, et al. Prevalence, awareness, treatment, and control of hypertension in China: results from a national survey. Am J Hypertens. 2014 Nov;27(11):1355-1361.
72.Pan Y, Zhang L, Wang F, et al. Status of non-steroidal anti-inflammatory drugs use and its association with chronic kidney disease: a cross-sectional survey in China. Nephrology (Carlton). 2014 Oct;19(10):655-660.
73.Zhang J, Zhang L, Wang W, et al, Association between aristolochic acid and CKD: a cross-sectional survey in China. Am J Kidney Dis. 2013 Jun;61(6):918-922.
74.Kong X, Ma Y, Chen J, et al. Evaluation of the Chronic Kidney Disease Epidemiology Collaboration equation for estimating glomerular filtration rate in the Chinese population. Nephrol Dial Transplant. 2013 Mar;28(3):641-651.
75.Kong X, Liu L, Zuo L, et al. Association between family members of dialysis patients and chronic kidney disease: a multicenter study in China. BMC Nephrol. 2013 Jan 18;14:19.
76.Niu F, Zhang L, Wang X, et al. The association between changes in urinary albumin-to-creatinine ratio and risk of abnormal ankle-brachial index in a community-based Chinese population. J Atheroscler Thromb. 2012;19(10):912-917.
77.Zhang L, Curhan G, Hu F, et al. Association between passive and active smoking and incident type 2 diabetes in women. Diabetes Care. 2011 Apr;34(4):892-897.
78.Zhang L, Curhan G, Forman J. Plasma resistin levels associate with risk for hypertension among nondiabetic women. J Am Soc Nephrol. 2010 Jul;21(7):1185-1191.
79.中华预防医学会肾脏病预防与控制专业委员会. 中国慢性肾脏病早期评价与管理指南. 中华内科杂志, 2023, 62(8) : 902-930.
80.赵明辉, 张路霞 主编. 中国肾脏疾病科学报告（第2版）. 北京：科学出版社, 145千字, 2021.
81.赵明辉, 张路霞 主编. 中国肾脏疾病科学报告. 北京：科学出版社, 139千字, 2019.
82.张路霞, 韩鸿宾 主编. 健康数据科学导论. 北京：北京大学医学出版社, 715千字, 2022.
83.詹启敏, 董尔丹 主编. 健康医疗人工智能指数报告2020. 北京：科学出版社, 85千字, 2021.
84.张路霞, 段会龙, 曾强 主编. 健康医疗大数据的管理与应用. 上海：上海交通大学出版社, 468千字, 2020.
85.北京大学医学系糖尿病肾脏病专家共识协作组. 糖尿病肾脏病诊治专家共识, 中华医学杂志, 2020, 100(4):247-260.
86.杨超, 张路霞, 赵明辉. 2024版KDIGO《慢性肾脏病评估与管理临床实践指南》更新要点及解读. 中国实用内科杂志, 2024, 44(06):457-460.
87.张路霞, 杨超. 重视气候变化带来的肾脏健康风险. 肾脏病与透析肾移植杂志, 2023, 32(1):39-40.
88.杨超, 李鹏飞, 张路霞. 对大数据时代肾脏疾病监测的再思考, 中华医学杂志, 2023, 103(18):1359-1362.
89.王福琳, 杨超, 李鹏飞, 等. 中国慢性肾脏病患者跨地域就医的个体影响因素分析. 中国血液净化, 2023, 22(5): 330-334.
90.王玥瑶, 梁泽, 杨超, 等. 中国跨区域就医的空间格局与影响因素分析——以慢性肾脏病为例, 地理研究,2023, 42(07):1828-1841.
91.杨超, 张路霞, 赵明辉. 《中国慢性肾脏病早期评价与管理指南》解读. 中国实用内科杂志, 2023,43(10):839-841,876.
92.王晋伟, 张路霞, 赵明辉. 基于临床研究PICOS框架持续进行专科疾病数据库的科研挖掘 . 中华内科杂志, 2023, 62(12):1380-1382.
93.马麟, 吴静依, 李双成, 等. 抗高血压药物对二氧化氮长期暴露与慢性肾脏病关联的修饰效应, 北京大学学报(医学版), 2022, 54(05):1047-1055.
94.彭苏元, 张腊, 杨超, 等. 健康数据科学驱动的中西医融合研究, 中国科学基金, 2023, 37(01):85-91.
95.王福琳, 杨超, 杜建, 等. 基于自组织映射网络的中老年人慢性病关联关系及共病模式的可视化聚类分析. 解放军医学杂志, 2022, 47(12):1217-1225
96.陈睿, 楚红, 李鹏飞, 等. 大气颗粒物对慢性肾脏病影响的研究进展. 生物医学转化, 2022, 3(2):2-8.
97.王迈, 王福琳, 张路霞. 重视提升临床医生数据素养 面向未来培养临床数据科学家, 中华内科杂志, 2022, 61(3):243-245.
98.吴静依, 王飞, 李青, 等. 基于计算机视觉的尿液定量分析系统在白蛋白尿筛检中的应用效能分析. 中国血液净化, 2022, 21(02): 98-102.
99.彭苏元, 杜建, 张路霞. 构建数据协作机制应对突发公共卫生事件中的医疗不确定性, 生物医学转化, 2021, 2(1):21-27.
100.杨超, 李鹏飞, 张路霞. 大气污染及气候因素对肾脏疾病的影响及其生物学机制研究进展, 解放军医学杂志, 2022, 47(01):72-77.
101.王芳, 杨超, 高碧霞, 等. 中国慢性肾脏病患者血钾异常的发生率、影响因素及其对预后的影响, 中华医学杂志, 2021,101(42):3459-3465.
102.杜建, 孔桂兰, 李鹏飞. 可计算医学知识的基本概念与实现路径. 情报学报, 2021,40(11): 1221-1233.
103.孙小宇, 聂振禹, 孙烨祥, 等. 宁波市鄞州区透析患者30天再入院影响因素分析及简易评分工具构建, 中国血液净化, 2020, 19(11):721-725.
104.柴扬帆, 孔桂兰, 张路霞. 医疗大数据在学习型健康医疗系统中的应用, 大数据, 2020, 6(5):29-44.
105.孟若谷, 杨羽, 张路霞. 健康医疗大数据质量评估方法进展与展望. 中国卫生信息管理杂志, 2019, 16(6): 677-681.
106.杨超, 黄超, 刘丽丽, 等. 中国肾脏疾病临床实践指南现状系统分析——中国临床实践指南评价体系的应用, 中华肾脏病杂志, 2019, 35(12):929-936.
107.高碧霞, 张路霞. 非透析慢性肾脏病患者管理模式, 华西医学, 2019, 34(7):736-739.
108.杨超, 张路霞, 赵明辉. 健康医疗大数据在临床专科中的发展与应用：基于中国肾脏疾病数据网络（CK-NET）的思考. 中华内科杂志, 2018, 57(9): 624-625.
109.冯瑶, 杨羽, 张路霞. 中国的大数据与医学研究. 中华内科杂志, 2018, 57(9): 683.
110.杨超, 王晋伟, 杨尧政, 等. 贫血及慢性肾脏病对糖尿病人群心脑血管事件发生与死亡的影响. 北京大学学报(医学版), 2018, 50(3): 495-500.
111.张路霞, 赵明辉. 重视我国慢性肾脏病的疾病谱变迁及人群管理策略. 中华内科杂志, 2017, 56(3):161-162.
112.张路霞, 赵明辉. 中国慢性肾脏病的流行趋势. 中华内科杂志, 2017, 56(3):212.
113.张路霞, 王海燕. 从流行病学的角度探讨我国糖尿病肾病的发病趋势及对策. 中华内科杂志, 2010, 49(9):804-805.
