Unknown

Dataset Information

0

Using Risk Stratification to Optimize Mammography Screening in Chinese Women.


ABSTRACT:

Background

The cost-effectiveness of mammography screening among Chinese women remains contentious. Here, we characterized breast cancer (BC) epidemiology in Hong Kong and evaluated the cost-effectiveness of personalized risk-based screening.

Methods

We used the Hong Kong Breast Cancer Study (a case-control study with 3501 cases and 3610 controls) and Hong Kong Cancer Registry to develop a risk stratification model based on well-documented risk factors. We used the Shanghai Breast Cancer Study to validate the model. We considered risk-based programs with different screening age ranges and risk thresholds under which women were eligible to join if their remaining BC risk at the starting age exceeded the threshold.

Results

The lifetime risk (15-99 years) of BC ranged from 1.8% to 26.6% with a mean of 6.8%. Biennial screening was most cost-effective when the starting age was 44 years, and screening from age 44 to 69 years would reduce breast cancer mortality by 25.4% (95% credible interval [CrI] = 20.5%-29.4%) for all risk strata. If the risk threshold for this screening program was 8.4% (the average remaining BC risk among US women at their recommended starting age of 50 years), the coverage was 25.8%, and the incremental cost-effectiveness ratio (ICER) was US$18 151 (95% CrI = $10 408-$27 663) per quality-of-life-year (QALY) compared with no screening. The ICER of universal screening was $34 953 (95% CrI = $22 820-$50 268) and $48 303 (95% CrI = $32 210-$68 000) per QALY compared with no screening and risk-based screening with 8.4% threshold, respectively.

Conclusion

Organized BC screening in Chinese women should commence as risk-based programs. Outcome data (e.g., QALY loss because of false-positive mammograms) should be systemically collected for optimizing the risk threshold.

SUBMITTER: Leung K 

PROVIDER: S-EPMC8346705 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC4366890 | biostudies-literature
| S-EPMC6206346 | biostudies-literature
| S-EPMC5868837 | biostudies-literature
| S-EPMC2718688 | biostudies-literature
| S-EPMC4391705 | biostudies-literature
| S-EPMC6503561 | biostudies-literature
| S-EPMC7049996 | biostudies-literature
| S-EPMC3019333 | biostudies-literature
| S-EPMC8607242 | biostudies-literature
| S-EPMC2897876 | biostudies-literature