Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Background: Historically, housing policies have perpetuated the marginalization and economic disinvestment of redlined neighborhoods. Residential segregation persists nowadays in the form of contemporary redlining, promoting healthcare disparities. The current study sought to assess the effect of redlining on oncological outcomes of patients with gastrointestinal cancer and identify mediators of the association.
Methods: Patients with colorectal or hepatobiliary cancer were identified from the linked Surveillance, Epidemiology, and End Results (SEER)-Medicare database (2007-2019). The contemporary redlining index, a measure of mortgage lending bias, was assessed relative to disease stage at diagnosis, receipt of appropriate treatment, textbook outcome, and mortality. Mediation analysis was used to identify socioeconomic, structural, and clinical mediating factors.
Results: Among 94,988 patients, 32.2% resided in high (n = 23,872) and highest (n = 6,791) redlining census tracts compared with 46.2% in neutral and 21.6% in low redlining tracts. The proportion of Black, Hispanic, and White patients experiencing high and highest redlining was 65.9%, 41.6%, and 27.9%, respectively. Highest redlining was associated with 18.2% higher odds of advanced disease at diagnosis, greater odds of not undergoing surgery for localized disease (adjusted odds ratio [aOR] 1.363, 95% confidence interval [CI] 1.219-1.524) or not receiving chemotherapy for advanced disease (aOR 1.385, 95% CI 1.216-1.577), and 26.7% lower odds of textbook outcome achievement. Mediation analysis for appropriate treatment quantified the proportion of the association driven by socioeconomic status, racial/ethnic minority status, racial/economic segregation, primary care shortage, and housing/transportation.
Conclusions: Contemporary redlining contributed both directly, and via downstream factors, to disparities in oncological care and outcomes of patients with gastrointestinal cancer.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1245/s10434-024-16373-8 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!