Improved Diagnostic Timing Could Lead to Better Outcomes for Patients With Ovarian Cancer
Key Takeaways:
- Diagnostic timing is associated with patient outcomes: A nonlinear U-shaped model showed that patients with ovarian cancer (OC) who had the shortest and longest diagnosis intervals also had the poorest survival rates.
- Wait time paradox affects OC diagnosis: Patients with the shortest diagnosis interval were more likely to have advanced stages of OC and more severe symptoms, which is why they were diagnosed more quickly than patients with longer intervals.
- Early diagnosis improves patient outcomes: Patients with the second shortest interval had a median survival of 5 years while patients with the shortest and longest intervals had a median survival of 2.5 and 2.9 years, respectively.
While OC is difficult to diagnose, little effort has been made to improve diagnostic tools and procedures because prior studies did not find a link between earlier intervention and patient outcomes. However, recent studies theorize that OC diagnosis and treatment are affected by the wait time paradox, which states that patients with more severe symptoms are diagnosed earlier but have poor outcomes. Because the sickest patients are diagnosed more quickly than those with less severe symptoms, shorter diagnostic intervals have become associated with worse outcomes.
This study used nonlinear modeling to observe the effects of diagnostic intervals on survival outcomes for patients with OC, with a special focus on the wait time paradox. Researchers used the North Carolina Central Cancer Registry to analyze data from 2359 patients diagnosed with OC from 2009 to 2019.
How Time of Diagnosis Affects Patient Survival
Diagnostic intervals were broken up into 4 quartiles: 1) patients diagnosed with OC in less than 10 days; 2) patients diagnosed between 10-32 days; 3) patients diagnosed between 33-148 days; and 4) patients diagnosed between 149-365 days.
Patient survival was depicted with a U-shaped model, showing that very short and very long diagnostic intervals were associated with poorer outcomes. Patients in the second shortest quartile (diagnosis between 10-32 days) were more likely to be diagnosed at localized or regional stages of OC and had a median survival of over 5 years. The third quartile had a median survival of 4.6 years, the longest quartile 2.9 years, and the shortest quartile 2.5 years.
The study’s authors explained that “patients with the most aggressive OCs are diagnosed more quickly but have poorer prognosis.” They also noted that the lower survival rate for patients with longer diagnostic intervals is “consistent with a biologically plausible process in which diagnostic delays allowed disease progression before treatment.”
This hypothesis is supported by the fact that patients with the shortest interval were more likely to be diagnosed with later stages of OC, have aggressive Kurman epithelial types, visit the emergency room, and initially present with pelvic or abdominal swelling. Additionally, 34.1% of patients in the first quartile were diagnosed with OC after 1 visit compared with 3.2% in the fourth quartile, suggesting that patients in longer quartiles had to receive more care before being diagnosed with OC.
Clinical Implications
The findings from this study contradict earlier theories that diagnostic timing for OC does not impact patient outcomes. This study illustrates the role of the wait time paradox and suggests that earlier diagnosis could improve patient outcomes. Enhanced clinical tools and updated screenings could help lead to an earlier diagnosis and improve survival for patients with OC.
Reference
Soppe SE, Kuo T, Bae-Jump VL, et al. Diagnostic timing and ovarian cancer survival. JAMA Netw Open. 2026;9(3):e262434. doi:10.1001/jamanetworkopen.2026.2434
