Antimicrobial resistance (AMR) in Escherichia coli associated urinary tract infections (UTIs) represents a major global health threat, compromising therapeutic efficacy and undermining socio-economic stability. This study includes a large-scale quantitative trend analysis of nearly 50,000 research articles published between 1973 and 2025 to address the longitudinal dynamics of AMR in UTI-associated E. coli. Abstract-level text mining was employed to retrieve antibiotic-specific resistance evidence, followed by normalized resistance proportion estimation, log-linear regression modeling, Estimated Annual Percentage Change (EAPC) analysis, rank-shift comparison, and Total Active Resistance Years (TARY)-based persistence profiling. The findings indicate a marked global increase in resistance to commonly prescribed first-line antibiotics, including fluoroquinolones, third-generation cephalosporins, aminoglycosides, and trimethoprim/sulfamethoxazole. Notably, carbapenems and fosfomycin also exhibited significant upward EAPC trends, indicating emerging resistance to these antibiotics despite being considered last-resort agents. Especially, the rising EAPC trends for carbapenem and fosfomycin exhibits both emerging resistance patterns and intensified reporting associated with expanded clinical usage of these last resort antibiotics. Rank-shift and persistence analyses further indicated antibiotic-specific heterogeneity, distinguishing entrenched long-term resistance from rapidly emerging threats. Geographic publication patterns paralleled epidemiological transitions, underscoring the worldwide expansion of the AMR burden. Collectively, this multidimensional bibliometric framework advances AMR surveillance from static reporting to dynamic resistance intelligence, providing critical insights to inform empirical therapy, antimicrobial stewardship, and global policy interventions.