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Updated: Jun 5, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Profiling hospitals by survival of patients with colorectal cancer
Hui Zheng1, Wei Zhang, John Z Ayanian
1Department of Health Care Policy, Harvard Medical School, 180 Longwood Avenue, Boston, MA 02115, USA.
Objective:
To profile hospitals by survival rates of colorectal cancer patients in multiple periods after initial treatment.
Data Sources:
California Cancer Registry data from 50,544 patients receiving primary surgery with curative intent for stage I-III colorectal cancer in 1994-1998, supplemented with hospital discharge abstracts.
Study Design:
We estimated a single Bayesian hierarchical model to quantify associations of survival to 30 days, 30 days to 1 year, and 1-5 years by hospital, adjusted for patient age, sex, race, stage, tumor site, and comorbidities. We compared two profiling methods for 30-day survival and four longer-term profiling methods by the fractions of hospitals with demonstrably superior survival profiles and of hospital pairs whose relative standings could be established confidently.
Principal Findings:
Interperiod correlation coefficients of the random effects are (95 percent credible interval 0.27, 0.85), (0.20, 0.76), and (0.19, 0.82). The three-period model ranks 5.4 percent of pairwise comparisons by 30-day survival with at least 95 percent confidence, versus 3.3 percent of pairs using a single-period model, and 15-20 percent by weighted multiperiod methods.
Conclusions:
The quality of care for colorectal cancer provided by a hospital system is somewhat consistent across the immediate postoperative and long-term follow-up periods. Combining mortality profiles across longer periods may improve the statistical reliability of outcome comparisons.
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