Measuring Surgical Waiting Times in Breast Cancer: Admission to Surgery Versus Biopsy Result to Surgery

<b>Background:</b> Preoperative timelines may lengthen due to tailored evaluation and system constraints. We examined whether two complementary measures of time-to-surgery (TTS)-admission-to-surgery (A-TTS) and biopsy-result-to-surgery (B-TTS)-behave similarly and whether parallel tracking offers service value. <b>Methods:</b> In a single-center retrospective cohort of eligible women undergoing upfront surgery for invasive breast cancer (2010-2021; <i>n</i> = 167), we reported quality indicators for timeliness (target attainment, agreement and discordance, the interval gap, and the surgery-to-adjuvant interval), while analyzing recurrence as the primary endpoint and overall survival as secondary. Discrimination analyses, logistic regression, and Cox models were used; non-proportional hazards were handled with a log-time interaction centered at 24 months. <b>Results:</b> The two time measures were not interchangeable: discordant cases were frequent and pointed to different bottlenecks. A-TTS ≤ 24 days was independently associated with recurrence (OR 3.16; 95% CI 1.13-8.82) and showed a large early hazard for death at 24 months that attenuated over time (HR 22.83; 95% CI 6.44-80.98; interaction HR 0.06; 95% CI 0.02-0.21), whereas B-TTS showed no association. <b>Conclusions:</b> Lymphovascular invasion remained the strongest pathologic correlate of survival. Tracking both intervals, paired with brief, reason-coded reviews of discordant cases, may support scheduling, quality dashboards, and breach governance better than a single TTS metric.

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Publication Details

Journal
Healthcare
Published
2025-11-21
DOI
https://doi.org/10.3390/healthcare13233010
Primary Topic
Economic and Financial Impacts of Cancer
Type
article
Field-Weighted Citation Impact
0.00

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article

Measuring Surgical Waiting Times in Breast Cancer: Admission to Surgery Versus Biopsy Result to Surgery

Didem Derici Yıldırım, Erkan Güler, Cumhur Özcan, Ferah Tuncel et al.
Healthcare
Economic and Financial Impacts of Cancer
article

Measuring Surgical Waiting Times in Breast Cancer: Admission to Surgery Versus Biopsy Result to Surgery

Didem Derici Yıldırım, Erkan Güler, Cumhur Özcan, Ferah Tuncel, Mustafa Berkeşoğlu, Sami Benli, Eda Bengi Yılmaz, Cem Tandoğan
article en

Abstract

<b>Background:</b> Preoperative timelines may lengthen due to tailored evaluation and system constraints. We examined whether two complementary measures of time-to-surgery (TTS)-admission-to-surgery (A-TTS) and biopsy-result-to-surgery (B-TTS)-behave similarly and whether parallel tracking offers service value. <b>Methods:</b> In a single-center retrospective cohort of eligible women undergoing upfront surgery for invasive breast cancer (2010-2021; <i>n</i> = 167), we reported quality indicators for timeliness (target attainment, agreement and discordance, the interval gap, and the surgery-to-adjuvant interval), while analyzing recurrence as the primary endpoint and overall survival as secondary. Discrimination analyses, logistic regression, and Cox models were used; non-proportional hazards were handled with a log-time interaction centered at 24 months. <b>Results:</b> The two time measures were not interchangeable: discordant cases were frequent and pointed to different bottlenecks. A-TTS ≤ 24 days was independently associated with recurrence (OR 3.16; 95% CI 1.13-8.82) and showed a large early hazard for death at 24 months that attenuated over time (HR 22.83; 95% CI 6.44-80.98; interaction HR 0.06; 95% CI 0.02-0.21), whereas B-TTS showed no association. <b>Conclusions:</b> Lymphovascular invasion remained the strongest pathologic correlate of survival. Tracking both intervals, paired with brief, reason-coded reviews of discordant cases, may support scheduling, quality dashboards, and breach governance better than a single TTS metric.

HealthcareVol. 13(23)
State Hospital (GB), Mersin Üniversitesi (TR)
Mersin Üniversitesi
Openalex Percentile: Top 57%
Economic and Financial Impacts of Cancer
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