These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

650 related articles for article (PubMed ID: 23608000)

  • 1. Prevalence of coal workers' pneumoconiosis in China: a systematic analysis of 2001-2011 studies.
    Mo J; Wang L; Au W; Su M
    Int J Hyg Environ Health; 2014 Jan; 217(1):46-51. PubMed ID: 23608000
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prevalence Characteristics of Coal Workers' Pneumoconiosis (CWP) in a State-Owned Mine in Eastern China.
    Han L; Han R; Ji X; Wang T; Yang J; Yuan J; Wu Q; Zhu B; Zhang H; Ding B; Ni C
    Int J Environ Res Public Health; 2015 Jul; 12(7):7856-67. PubMed ID: 26184259
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Time trends and future prediction of coal worker's pneumoconiosis in opencast coal mine in China based on the APC model.
    Li Y; Xian W; Xu H; Sun J; Han B; Liu H
    BMC Public Health; 2018 Aug; 18(1):1010. PubMed ID: 30107832
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Coal workers' pneumoconiosis in the United States: regional differences 40 years after implementation of the 1969 Federal Coal Mine Health and Safety Act.
    Suarthana E; Laney AS; Storey E; Hale JM; Attfield MD
    Occup Environ Med; 2011 Dec; 68(12):908-13. PubMed ID: 21597107
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Coal workers' pneumoconiosis and progressive massive fibrosis are increasingly more prevalent among workers in small underground coal mines in the United States.
    Laney AS; Attfield MD
    Occup Environ Med; 2010 Jun; 67(6):428-31. PubMed ID: 20522823
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Estimates and Predictions of Coal Workers' Pneumoconiosis Cases among Redeployed Coal Workers of the Fuxin Mining Industry Group in China: A Historical Cohort Study.
    Han B; Liu H; Zhai G; Wang Q; Liang J; Zhang M; Cui K; Shen F; Yi H; Li Y; Zhai Y; Sheng Y; Chen J
    PLoS One; 2016; 11(2):e0148179. PubMed ID: 26845337
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [Study of estimation method for incidence of new cases of coal workers' pneumoconiosis in China].
    Wang D; Zhang M; Zheng YD
    Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi; 2013 Jan; 31(1):24-9. PubMed ID: 23433154
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Comparison of the Cumulative Incidence Rates of Coal Workers' Pneumoconiosis between 1970 and 2013 among Four State-Owned Colliery Groups in China.
    Cui K; Shen F; Han B; Yuan J; Suo X; Qin T; Liu H; Chen J
    Int J Environ Res Public Health; 2015 Jun; 12(7):7444-56. PubMed ID: 26133134
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Pneumoconiosis and advanced occupational lung disease among surface coal miners--16 states, 2010-2011.
    Centers for Disease Control and Prevention (CDC)
    MMWR Morb Mortal Wkly Rep; 2012 Jun; 61(23):431-4. PubMed ID: 22695382
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Survival Analysis of Coal Workers' Pneumoconiosis (CWP) Patients in a State-Owned Mine in the East of China from 1963 to 2014.
    Han L; Gao Q; Yang J; Wu Q; Zhu B; Zhang H; Ding B; Ni C
    Int J Environ Res Public Health; 2017 May; 14(5):. PubMed ID: 28481235
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Working conditions and pneumoconiosis in Turkish coal miners between 1985 and 2004: a report from Zonguldak coal basin, Turkey.
    Tor M; Oztürk M; Altın R; Cımrın AH
    Tuberk Toraks; 2010; 58(3):252-60. PubMed ID: 21038135
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prevalence of coal worker's pneumoconiosis: a systematic review and meta-analysis.
    Liu W; Liang R; Zhang R; Wang B; Cao S; Wang X; Ma J; Wang D; Chen W
    Environ Sci Pollut Res Int; 2022 Dec; 29(59):88690-88698. PubMed ID: 35836046
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Establishment and application of an index system for prevention of coal workers' pneumoconiosis: a Delphi and analytic hierarchy process study in four state-owned coal enterprises of China.
    Cui K; Shen F; Han B; Liu H; Chen J
    Occup Environ Med; 2018 Sep; 75(9):654-660. PubMed ID: 29563194
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prevalence characteristics and prediction of coal workers' pneumoconiosis in the Tiefa Colliery in China.
    Liu H; Tang Z; Weng D; Yang Y; Tian L; Duan Z; Chen J
    Ind Health; 2009 Aug; 47(4):369-75. PubMed ID: 19672010
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The influence of dust standards on the prevalence and severity of coal worker's pneumoconiosis at autopsy in the United States of America.
    Vallyathan V; Landsittel DP; Petsonk EL; Kahn J; Parker JE; Osiowy KT; Green FH
    Arch Pathol Lab Med; 2011 Dec; 135(12):1550-6. PubMed ID: 22129182
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting coal workers' pneumoconiosis trends: Leveraging historical data with the GARCH model in a Chinese Miner Cohort.
    Sun P; Wang B; Zhang H; Xu M; Han L; Zhu B
    Medicine (Baltimore); 2024 Feb; 103(7):e37237. PubMed ID: 38363918
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Cancer incidence in Czech black coal miners in association with coalworkers' pneumoconiosis.
    Tomaskova H; Jirak Z; Splichalova A; Urban P
    Int J Occup Med Environ Health; 2012 Jun; 25(2):137-44. PubMed ID: 22411070
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Expression of type 1 and type 2 cytokines from serum of coal miners and the evaluation in surveillance of coal workers' pneumoconiosis at earlier stage].
    Yao SQ; Yang NW; Guo FF; Qin TB; Zhu XP; Dong ZG; Li ZC; Jiang BJ; Gao JS; Yao YC; Zhang GF; Liu Y; Lu Y; Li HB; Shuai JF; Bai YP; Jin YL
    Zhonghua Yu Fang Yi Xue Za Zhi; 2018 Nov; 52(11):1158-1163. PubMed ID: 30419701
    [No Abstract]   [Full Text] [Related]  

  • 19. Evaluation of occupational exposures to respirable dust in underground coal mines.
    Onder M; Onder S
    Ind Health; 2009 Jan; 47(1):43-9. PubMed ID: 19218756
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification and classification of high risk groups for Coal Workers' Pneumoconiosis using an artificial neural network based on occupational histories: a retrospective cohort study.
    Liu H; Tang Z; Yang Y; Weng D; Sun G; Duan Z; Chen J
    BMC Public Health; 2009 Sep; 9():366. PubMed ID: 19785771
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 33.