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10.1186/s12940-017-0309-2 http://scihub22266oqcxt.onion/10.1186/s12940-017-0309-2 C5615452!5615452!28950871     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Environ+Health 2017 ; 16 (ä): ä Nephropedia Template TP {{tp|p=28950871|t=2017. Lung cancer mortality of residents living near petrochemical industrial complexes: a meta-analysis |pdf=|usr=}}{{28950871}} gab.com Text Lung cancer mortality of residents living near petrochemical industrial complexes: a meta-analysis JO: Environ Health http://www.kidney.de/pget.php?&tw=1&pmid=28950871 #FOAvip Background: Lung cancer, as the leading cause of cancer mortality worldwide, has been linked to environmental factors, such as air pollution. Residential exposure to petrochemicals is considered a possible cause of lung cancer for the nearby population, but results are inconsistent across previous studies. Therefore, we performed a meta-analysis to estimate the pooled risk and to identify possible factors leading to the heterogeneity among studies. Methods: The standard process of selecting studies followed the Cochrane meta-analysis guideline of identification, screening, eligibility, and inclusion. We assessed the quality of selected studies using the Newcastle-Ottawa scale. Reported point estimates and 95% confidence intervals were extracted or calculated to estimate the pooled risk. Air quality standards were summarized and treated as a surrogate of exposure to air pollution in the studied countries. Funnel plots, Begg?s test and Egger?s test were conducted to diagnose publication bias. Meta-regressions were performed to identify explanatory variables of heterogeneity across studies. Results: A total of 2,017,365 people living nearby petrochemical industrial complexes (PICs) from 13 independent studied population were included in the analysis. The pooled risk of lung cancer mortality for residents living nearby PICs was 1.03-fold higher than people living in non-PIC areas (95% CI?=?0.98?1.09), with a low heterogeneity among studies (I2?=?25.3%). Such effect was stronger by a factor of 12.6% for the year of follow-up started 1 year earlier (p-value?=?0.034). Conclusions: Our meta-analysis gathering current evidence suggests only a slightly higher risk of lung cancer mortality among residents living nearby PICs, albeit such association didn?t receive statistically significance. Reasons for higher risks of early residential exposure to PICs might be attributable to the lack of or less stringent air pollution regulations. Electronic supplementary material: The online version of this article (10.1186/s12940-017-0309-2) contains supplementary material, which is available to authorized users. Twit Text FOAVip Lung cancer mortality of residents living near petrochemical industrial complexes: a meta-analysis ????Environ Health http://www.kidney.de/pget.php?&tw=1&pmid=28950871 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28950871 #FOAvip English Wikipedia <ref>{{Cite pmid|28950871}}</ref> Lung cancer mortality of residents living near petrochemical industrial complexes: a meta-analysis #MMPMID28950871 Lin CK; Hung HY; Christiani DC; Forastiere F; Lin RT Environ Health 2017[]; 16 (ä): ä PMID28950871show ga Background: Lung cancer, as the leading cause of cancer mortality worldwide, has been linked to environmental factors, such as air pollution. Residential exposure to petrochemicals is considered a possible cause of lung cancer for the nearby population, but results are inconsistent across previous studies. Therefore, we performed a meta-analysis to estimate the pooled risk and to identify possible factors leading to the heterogeneity among studies. Methods: The standard process of selecting studies followed the Cochrane meta-analysis guideline of identification, screening, eligibility, and inclusion. We assessed the quality of selected studies using the Newcastle-Ottawa scale. Reported point estimates and 95% confidence intervals were extracted or calculated to estimate the pooled risk. Air quality standards were summarized and treated as a surrogate of exposure to air pollution in the studied countries. Funnel plots, Begg?s test and Egger?s test were conducted to diagnose publication bias. Meta-regressions were performed to identify explanatory variables of heterogeneity across studies. Results: A total of 2,017,365 people living nearby petrochemical industrial complexes (PICs) from 13 independent studied population were included in the analysis. The pooled risk of lung cancer mortality for residents living nearby PICs was 1.03-fold higher than people living in non-PIC areas (95% CI?=?0.98?1.09), with a low heterogeneity among studies (I2?=?25.3%). Such effect was stronger by a factor of 12.6% for the year of follow-up started 1 year earlier (p-value?=?0.034). Conclusions: Our meta-analysis gathering current evidence suggests only a slightly higher risk of lung cancer mortality among residents living nearby PICs, albeit such association didn?t receive statistically significance. Reasons for higher risks of early residential exposure to PICs might be attributable to the lack of or less stringent air pollution regulations. Electronic supplementary material: The online version of this article (10.1186/s12940-017-0309-2) contains supplementary material, which is available to authorized users. äLung cancer mortality of residents living near petrochemical industria(epmc).pdf DeepDyve Pubget Overpricing