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Updated: Apr 10, 2026

Evaluating the Angiogenetic Properties of Ovarian Cancer Stem-Like Cells using the Three-Dimensional Co-Culture System, NICO-1
Published on: December 5, 2020
Improving NCCN guideline-adherent care for ovarian cancer: Value of an intervention
Joseph A Dottino1, William A Cliby2, Evan R Myers3
1Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC 27710, USA.
Objective:
To estimate the potential cost-effectiveness of an intervention to improve adherence to National Comprehensive Cancer Network (NCCN) guideline-based care for ovarian cancer.
Methods:
A modified Markov model with a 5-year time horizon estimated the potential cost-effectiveness of an intervention (AD-INT) to improve NCCN-guideline adherence compared to status quo (SQ) levels of adherence. Data were obtained from a population-based analysis of National Cancer Data Base records for ovarian cancer diagnosed from 1998 to 2002 (N=47,160). Cohorts were defined by race and adherence to NCCN guideline-based care. Costs were estimated using 2014 Medicare reimbursements. Incremental cost-effectiveness ratios (ICERs) were calculated in 2014 US dollars per year of life saved (YLS) using the standard threshold of $50,000/YLS. We simulated an AD-INT that reduced non-adherence by 25% and cost at least $100 per patient. One-way sensitivity analyses were performed.
Results:
Although the individual components of guideline-adherent care are more costly than non-adherent care, a reasonably effective AD-INT is also highly likely to be cost-effective. An AD-INT costing $100 per patient and reducing non-adherence by 25% is cost-effective with an ICER of $22/YLS compared with SQ, while interventions costing over $1000 remain cost-effective, up to a per-patient intervention cost of up to $8000 (targeting only blacks) or $4000 (targeting all patients).
Conclusions:
An ovarian cancer intervention that moderately decreases racial disparities in NCCN guideline adherent care or improves adherence for all is potentially cost-effective. Further research may determine which modifiable factors may be targeted to help reduce adherence disparities.
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