Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1075
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3195
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
98%
921
2 minutes
20
Background: Use of a commercial database to obtain residential history information in environmental epidemiologic studies of cancer can lead to information bias if data availability varies by individual socio-demographic factors or case status. Residential data that is not missing at random and data that is discordant with cancer registry or birth record address data can impact subsequent exposure assessments. In our study of childhood cancers, we aimed to determine if availability of residential history information differs by case status or other potential confounders and if there was agreement with cancer registry and birth records address data.
Methods: We worked with LexisNexis to retrieve residential histories for mothers of 3,573 childhood cancer cases and 7,160 controls born 2000-2015 in Los Angeles and Orange Counties in Southern California. We used linear regression to determine independent predictors of having residential history returned by LexisNexis. We assessed concordance between maternal address at birth and child's address at diagnosis available from registry data and the LexisNexis residential history by comparing street addresses and geocoded coordinates.
Results: Maternal characteristics (birthplace, race and ethnicity, education, insurance provider) and child's case status were associated with the mother having any address returned by LexisNexis. When comparing geocoded coordinates of cases, < 10% of LexisNexis addresses during the diagnosis year matched cancer registry addresses. Birth record addresses matched LexisNexis-provided addresses for 47% of mothers.
Conclusions: This study elucidates potential implications of using commercial databases such as LexisNexis to reconstruct residential histories and derive exposure measures in cancer case-control studies.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1093/jncics/pkaf075 | DOI Listing |