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Target trial emulation using new comorbidity indices provided risk estimates comparable to a randomized trial.
Marcus Westerberg1, Hans Garmo1, David Robinson2
1Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Journal of Clinical Epidemiology
|August 19, 2024
Summary
Two new comorbidity indices effectively adjusted for confounding in prostate cancer studies, yielding results similar to randomized controlled trials (RCTs). These indices offer improved accuracy for real-world clinical practice.
Area of Science:
- Oncology
- Epidemiology
- Biostatistics
Background:
- Prostate cancer treatment decisions involve comparing radical prostatectomy (RP) and radiotherapy (RT).
- Confounding by comorbidity can bias observational studies comparing treatment outcomes.
- Accurate adjustment for confounding is crucial for reliable comparative effectiveness research.
Purpose of the Study:
- To evaluate two novel comorbidity indices for adjusting confounding in prostate cancer observational studies.
- To benchmark the performance of new indices against the Charlson Comorbidity Index (CCI).
- To compare observational study results with a randomized controlled trial (RCT) benchmark.
Main Methods:
- An observational study of 18,316 men with prostate cancer treated with RP or RT.
- Comparison of risk of death after adjustment using the multidimensional diagnosis-based comorbidity index, drug comorbidity index, and CCI.
- Emulation of a target pragmatic trial to assess generalizability.
Main Results:
- Radiotherapy (RT) was associated with a higher risk of death compared to radical prostatectomy (RP) (HR=1.94).
- Adjustment for age, cancer characteristics, and CCI reduced the observed difference (HR=1.32).
- The two new comorbidity indices further attenuated the difference (HR=1.14), aligning with RCT findings.
Conclusions:
- The novel comorbidity indices provide robust adjustment for confounding in prostate cancer studies.
- These indices yield results comparable to RCTs, enhancing the reliability of observational data.
- The findings suggest these new indices are valuable for real-world clinical practice and research.
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